Em um ano em que o mercado
publicitário cresceu em torno de 5% e quase todas as mídias acompanham esse
ritmo lento, o digital e o mobile se destacaram. Com um crescimento de 32% em
2013, de acordo com dados do IAB Brasil (Interactive Advertising Bureau), o
meio segue como portal para a inovação e segmentação de campanhas e ações.
Abbot ainda ressalta uma evolução significativa na mão de obra
especializada, que cresceu para dar conta de uma demanda cada vez mais específica
e mais qualificada. “A pequena e média empresa representa 70% do total de
companhias no Brasil. E elas estão criando um mercado de pequenas agências.
Neste ano vimos a sedimentação de pequenas e médias empresas e agências que são
a cara do Brasil.
O grande dinheiro da internet brasileira está pulverizado”, disse o
gestor, que passou de 300 para 700 associados em 18 meses. “Algumas empresas
médias e pequenas são muitas vezes o ‘patinho feio’ dos gigantes e acabam
ficando com um trabalho básico, por não serem o cliente mais importante. Com
isso, muitas delas apostam em agências pequenas, pois lá se tornam a ‘menina
dos olhos’ da agência”, analisa Ricardo Rabello, sócio da Iungo.
Impacto e mensuração
Um dos principais pontos positivos de
se investir em marketing digital é a precisão de se atingir o público desejado
de formas variadas, e a otimização da verba publicitária é percebida por
clientes e agências. “Tiros de canhão estão representando cada vez mais um
desperdício de munição frente a estratégias customizadas e de relacionamento um
a um”, afirma Tiago Ritter, CEO da W3Haus. O desafio é convencer a efetividade
da mensuração digital.
Responsável pela maior fatia do que é dispendido em marketing digital, o
setor de search manteve a aceleração na demanda por espaço. Com faturamento
estimado pelo IAB em R$ 3,82 bilhões no ano, os mecanismos de busca tiveram uma
evolução de 29% em relação aos R$ 2,2 bilhões de 2012.
Social mantém força
E a tendência é de manutenção e
crescimento do setor. “Ano que vem sem dúvida será o ano da social media. Em
anos de eleição, o setor triplica de faturamento, e como tivemos protestos e
Copa do Mundo, a expectativa é que social media cresça de cinco a seis vezes
seu faturamento”, diz Jonatas Abbot, da Abradi.
Para o executivo, a interatividade e a conversa com o consumidor eram
apenas uma promessa no início da década, mas se tornaram realidade em 2013.
“Acho que 2014 será um caminho sem volta. Nenhuma grande marca acredita mais
que a comunicação é uma via de mão única”.
Mobile registra aumento acentuado
A previsão é referendada por
entidades regionais e nacionais que preveem alta na mídia também no Brasil.
Para Fabiano Lobo, diretor para América Latina da MMA (Mobile Marketing
Association), o principal fator para o crescimento do mobile no Brasil em 2013
foi o acesso da classe C aos smartphones – hoje, ela já representa mais de um
terço do total de usuários dessas plataformas, conforme dados da entidade. O
executivo afirma que isso fará com que o mobile atue como um “catalisador de
negócios e comércio para empresas, tomando cada vez mais parte do bolo
publicitário digital”.
O crescimento, porém, será ainda mais vertiginoso se anunciantes e
agências souberem superar os desafios do segmento, “uma mídia muito
pulverizada”, de acordo com Abbott. “A força com que o mobile está dominando a
tecnologia até assusta, pois quando falamos nisso, falamos em uma segmentação
de mídia absurda”, comenta o presidente da Abradi.
Segundo ele, a maioria das empresas ainda não está preparada para lidar
com a mídia e não tem estratégias específicas para plataformas móveis, mas a
segmentação pode ser um fator a favor dos pequenos e médios anunciantes. “Já
existem a mídia localizada, a geolocalização do usuário e o sistema SMS.
Só
esses três aspectos já dão um mundo de coisas para serem feitas. Além de
segmentar o perfil do consumidor, dá para saber onde ele está. Para as pequenas
e médias empresas, isso faz todo o sentido, pois passa a ser uma mídia mais
barata com a qual elas acertam em cheio seu público-alvo”, avalia.
Participação elevada
Para Xavier, a penetração das
plataformas também ajudou. “São 70 milhões de smartphones, 80 milhões de
acessos 3G, 63% dos usuários estão com o celular na hora de ver TV. Os serviços
exclusivos de mobile começaram a ter um crescimento. É muita gente usando por
muito tempo e para muita coisa.
A lógica de fazer publicidade onde as pessoas cada
vez mais passam tempo pareceu meio óbvia, então muitas marcas passaram a ter
uma linha de investimento nessa plataforma. Uma mudança clara identificada
neste ano é a recorrência das campanhas”, analisa.
Em 2014, a previsão é de que a
publicidade móvel amadureça e ganhe ainda mais destaque entre os anunciantes.
2013 foi o preâmbulo de um movimento que deslanchará nos próximos anos e verá
mais marcas e mais empresas estabelecendo estratégias para o segmento. “Não dá
para não tratar esse negócio de maneira estratégica. Está na pauta a
necessidade de entender como se apropriar dessa oportunidade”, conclui Xavier. (Propmark)
De
acordo com a IDC, boa parte das vendas extras foi estimulada pela oferta de
aparelhos vendidos a preços mais baixos, o que chamou a atenção dos consumidores
de faixas sociais médias.
A estimativa é de que 22% dos tablets vendidos no
Brasil neste ano estavam na faixa de preços entre R$ 500 e R$ 1 mil. Já aqueles
com preço superior a R$ 1 mil passaram de 40% para 15% em participação nas
vendas de 2012 para 2013.
Um estudo conduzido pela Ipsos neste ano concluiu que 47% dos consumidores querem comprar um tablet, mas 80% da população ainda não considera o aparelho um substituto para computadores. Além disso, apenas 3% disseram ter preferido um tablet a um PC ou laptop no momento da compra.
Uma quarta-feira (18), em Londres, a consultoria de
privacidade online Truste reuniu especialistas para discutir a transparência
das práticas adotadas pelas marcas e seus parceiros, bem como o impacto delas
perante o público geral.
“O papel do nosso modelo de negócios não é bem entendido e depende de
nós mostrar como ele funciona, bem como seu valor econômico”, declarou Nick
Stringer, diretor de relações regulamentais do IAB (Internet Advertising
Bureau) do Reino Unido e líder da EDAA (Europe Interactive Digital Advertising
Aliance), entidade responsável pelas práticas de autorregulamentação da
publicidade online na Europa.
Apesar de enxergar uma boa evolução nesse
caminho, o executivo destacou que ainda há muito mais a ser realizado para
garantir tal entendimento e transparência nos processos.
Vice-presidente de marketing da Truste, Dave Deasey apresentou uma
pesquisa indicando que a privacidade é o fator mais importante para 20% dos
usuários de dispositivos mobile.
Para os demais respondentes, ele aparece
sempre na segunda posição, perdendo apenas para a preocupação com a duração da
bateria. De acordo com o levantamento – válido para o mercado britânico –, 37%
dos respondentes disseram checar se os aplicativos baixados possuem uma
política de privacidade clara antes de dividir informações pessoais.
Privacidade social
Para Kathryn Montgomery, professora de comunicação da Universidade de
Washington, nos Estados Unidos, a decisão pode ter impacto negativo para o
público envolvido, já que adolescentes tendem a assumir riscos e, muitas vezes,
não conseguem mensurar as consequências de pequenos atos.
“A decisão do
Facebook tem seu próprio modelo de negócios como base. Permitindo que os jovens
dividam mais sobre eles mesmos, fica mais fácil aos anunciantes coletarem dados
sobre os menores de idade, que ignoram o fato de que seus interesses estão sob
um microscópio digital”, analisou. (Propmark, com informações da Marketing Week e da Associated
Press)
PROMO PROMETEU, MAS ENTREGOU POUCO
A opinião é próxima da unanimidade no
marketing promocional: um ano bom, porém, mais difícil do que se esperava. Para
a maioria dos representantes das principais agências de promo – ou do mais
recente chamado live marketing –, os resultados foram positivos, mas com leves
revisões no meio do caminho e com muito mais suor que o esperado diante dos
planos traçados 12 meses atrás.
“O ano de 2013 prometia muito, mas
entregou pouco. O crescimento projetado era de 15% e deve ser fechado entre 3%
e 5%. Foi um ano estranho”, classifica Kito Mansano, presidente da Apro
(Associação de Marketing Promocional) e do Sindilive (Sindicato das Empresas de
Live Marketing), nascido em agosto.
“As coisas estavam acontecendo, mas em um
volume menor do que o esperado. As pressões por diminuir custos e taxas, por
parte dos clientes, também afetou nosso negócio”, relembra.
Para
José Victor Oliva, presidente da Holding Clube – controladora de sete empresas
ligadas ao setor, com destaque para a tradicional Banco de Eventos, além de
Samba, Rio360 e FanClube –, foi um ano que “surpreendeu negativamente”.
“Houve
uma grande dúvida pelo lado dos clientes de como seria o ano com Copa das
Confederações, além do perfil instável da economia local e da desconfiança
internacional com o futuro. Isso tudo junto nos levou a um ano medíocre”,
avaliou Oliva, apesar de citar resultados de crescimento para boa parte de suas
empresas.
“Muitos deles estão querendo tabelar nosso trabalho, mesmo
a parte criativa, precificando-a como commodity”, enfatiza.
“Os clientes
pararam de se preocupar com a qualidade em primeiro lugar e passaram a se
dedicar a cortes de custo, cortes de ideias, briga de números, o que é
preocupante”, adiciona Oliva.
“Ele começou difícil, muito pela ressaca de
2012, mas veio numa crescente e franca recuperação”, completa.
Porém, assim
como Xavier e Oliva, Figueiredo cita a questão do departamento de compras dos clientes
falando mais alto que o marketing como um dos problemas – e talvez sua
adequação a este novo modelo uma das receitas do sucesso de sua empresa em
2013.
“Fizemos vários ajustes e alterações em nossa operação, criando inclusive
uma mesa de compras interna como uma forma de remar a favor do cliente. As
agências que não fizerem contas estão fadadas ao fracasso. O grande desafio é
se adaptar ao novo modelo de negócios dos anunciantes, muito baseado em ROI e
rentabilidade”, analisa.
Projeções
“Teremos um primeiro
semestre bastante movimentado e com ótimos resultados, especialmente por termos
três grandes clientes envolvidos com a Copa e outros com a necessidade de
estabelecer conexões com as pessoas fora do ambiente do futebol. Mas, se
pudesse fazer uma previsão, veria o segundo semestre bastante enfraquecido, com
um momento de segurar custos”, complementa Rodrigo Rivellino, presidente da
Aktuellmix.
Oliva ressalta que, para seus
negócios, 2014 já se mostra extremamente promissor. “Em todas as minhas
empresas, fechamos o panorama do ano que vem superior ao que alcançamos em
2013.
O Banco de Eventos já vendeu, antes de começar 2014, 50% do que fizemos
em todo este ano”, revela. Em sua opinião, a Copa será positiva para o live
marketing, especialmente, por uma nova visão dos anunciantes.
“Os clientes
estão entendendo que não é suficiente só comprar uma cota na Globo, ou fazer
uma ação temática, se não houver uma ativação por trás disso”, afirma.
Figueiredo,
da Bullet, também crê em um bom impulso perante a Copa, inclusive diante das
marcas sem ligação oficial com o evento.
“Estamos sentindo um agito muito maior
dos não patrocinadores. Vejo dois tipos de anunciantes: os que não iriam fazer
nada e estão fazendo por causa da Copa; e os que só estão direcionando seus
esforços para o evento, sem necessariamente trazer novos investimentos”,
revela.
“Ela oferece subprodutos muito nichados, o que reduz um pouco as possibilidades. Porém, as empresas que souberem aproveitar as possibilidades, com ativações e ações paralelas – respeitando as regras da Fifa –, poderão crescer muito.”
“Acredito muito na retomada. Geralmente vemos, em ano de eleição, os clientes segurando os investimentos para entender o mercado. Mas, com o empurrão dado pela Copa, isso está mudando. Os ousados vão se destacar, exatamente por não ficarem aguardando. 2014 será o ano de arriscar, de quebrar paradigmas – especialmente esse mito de que não se investe em ano de eleição”, enfatiza o presidente da Ampro. (Propmark)
A SELEÇÃO DO PYR
Pyr Marcondes, da Revista Proxxima,
selecionou 15 importantes artigos
publicados em meios de comunicação de outros países. Reproduzo aslguns deles.
Os outros você poderá encontrar no site da Proxxima.
1.
Where Is Social TV Heading in 2014?
. Expect
More Investment in Second Screen and New Performance Indicators
(By: Jesse Redniss, cheief
strategy officer at Mass Referencie, in Advertasing Age) -- As we wrap up 2013, it looks like social
TV is being pushed to its tipping point. Not only are we starting to find hard
evidence proving the powerful return on investment of second-screen and social
TV, we're seeing real-time insights into what viewers are actually watching. Let's
take a quick look back at some key moments in 2013 and see if we can divine
what 2014 will have in store.
Prediction 1: Big boys grabbing all the toys. Throughout 2013, we've had flurries of mergers, acquisitions and partnerships in social TV. Over the last few weeks, it's become a blizzard. With increased validation by multichannel video programming distributors, the market is finally showing signs of maturation.
GetGlue was acquired by i.TV in November. Then i.TV, whose platform enables content discovery for AOL, Huffington Post and Entertainment Weekly, received funding from DirecTV earlier this month.
Other TV resource apps are wooing users -- and video programming distributors -- through cooperation. Individually, the apps offer cool features, but when bundled, they become game-changers like NextGuide, which offers engaging second-screen mashups, data and utility. NextGuide is working with companies including DirecTV, Dish, Comcast and Fox.
As the cable and satellite companies try to woo back the cord-cutters -- people who used to subscribe to a multichannel service like Time Warner Cable or AT&T but now watch shows and movies online or through services like Apple TV and Netflix -- we'll see major players continue with increased investment in and adoption of second-screen technologies in 2014. With that, consumers will have more access to great content and utility across all screens as the living room becomes a unified-screen experience. New tablets bundled into a premium-cable package upgrade or cable-subscription sign-up will be the norm.
Prediction 2: Big insight leads to big action. The biggest news this month has been Apple's acquisition of Topsy, immediately followed by DataSift's $42-million funding announcement. Both companies, social-analytics firms, collect and analyze thousands of pieces of social content every minute. While Apple's plans for Topsy are unclear, there's no denying the invaluable proof that social analytics can provide
In 2014, Big Data will lead to Big Insights and Big Action. We'll see new benchmarks and key performance indicators emerge. Expect to see a cost per touchpoint/tune-in, or CPT, a flexible metric that will measure physical engagement on touch screens. We will finally find a metric that proves both digital and social activity attribution and direct causation to tune-in. With powerhouse Comcast teaming with Twitter to roll out See It, a Comcast platform that connects Twitter conversations and promotions around content to the actual viewership of TV shows, movies and sports, we can see the CPT right around the corner.
Prediction 3: Power to the people. We will start to see content influenced by real-time social data and insights, which condense the research process into minutes, not weeks. We've seen the beginnings of this already with fan- voted endings and live audience voting.
Prediction 4: Agencies change the channel to transmedia strategy. For me, the union of Big Data with media strategy means that instead of just buying on-air ads, agencies will make more strategic buys, focusing on a balance of mass reach and networks with the most energized fans or the largest social footprint. The movement from strategic to adaptive marketing will create real-time campaigns that are relevant to consumers on a minute-by-minute basis.
Prediction 5. Second screen becomes almost second nature. When Dora the Explorer asks a question and pauses for an awkward four seconds, instead of yelling at the TV, children now are grabbing a tablet and answering the question. If you have young children, as I do, the targeted Facebook ads for Disney Junior "Appisodes" are ubiquitous.
These second-screen watch-along Appisodes aren't just fun and engaging, they're educational. Providing young children with a platform to touch, answer and engage with their shows, Dora and Boots can help teach your child how to count and spell, while you can track their progress on these apps. In 2014, this market will explode, funded by millennial digitally-native parents with infants and toddlers.
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The Future Of
Education Eliminates The Classroom, Because The World Is Your Class
Massive
Open Online Courses might seem like best way to use the Internet to open up
education, but you’re thinking too small. Technology can turn our entire
lives into learning experiences.
Written By Marina Gorbis
Marina Gorbis
the
Executive Director at the Institute for the Future and author of The Nature
of the Furure, in The Guardian
|
Dennis R Mortensen predicts that in the future,
newsrooms will be even more data-driven. Photograph: Frank Baron for the
Guardian
It's been a little more than two years since we
launched our predictive analytics platform for editors, and it has been an
amazing 24 months supporting their efforts to programme content on homepages,
section fronts and in social channels.
At about that same time, Andy Carvin of NPR was
covering the Arab spring
and he provided a model for the future of newsgathering by tweeting at
potential sources and confirming reports from more than 9,000km away. Many, if
not most journalists have now found their way on to Twitter and, like Carvin, are
using the conversation and its data with great success.
So what about this predictive data we use today? Is
it also a model for the future and, if so, where is it taking us? These past
two years have seen it adopted in hundreds of newsrooms globally, and we can
use this experience to consider the next 24 months, for what may be an even
bigger story of newsroom transformation. At Visual Revenue, we think it might
look like this…
Among the many changes and trends we've seen in
newsrooms around the world, what we cannot and must not overlook is human
nature. It's natural for every one of us to want to predict the best outcome –
for any situation – especially an editor, who is plugged in to a position of
regularly trying to find the best stories to promote. They make predictions
every day, multiple times per day.
But the editor continues to live in this stormy
place where predictions must happen faster and faster, with even more variables
and more channels of data – some reliable and some not – pressing them to
decide, to judge, and to predict. Do it instantly, or it's too late! The luxury
of time would be nice, but this job rewards the swift. There is no reward in
suggesting the best front page for yesterday's paper.
Thus, the emergence of data.
What we've seen in two years is that, when we arm
these editors with the right data, they grow more confident. Instead of making
50 daily updates to their homepage, they'll do 75. They take a more active hand
in sculpting not just content, but the behaviour of their audience, and they
courageously resurface content that otherwise may have been deemed
"old". Editors with data enthusiastically do a job that comes
naturally to them: exercising judgment of what their audience truly wants and
what content they will adore.
When we arm knowledgeable human editors with more
data, they don't race to the lowest common denominator, but rather toward
richer, better experiences. Good editors now embrace and devour the data to
find out, almost like Goldilocks, when their promotion is too soft or when it's
too aggressive. Then it is their intuition, skills and instinct that get things
to be just right.
When we arm editors with data – particularly with
more of the right social data – you will see them exploit social media and
social sharing, not to the benefit of Twitter or the social channel, but for
the purpose of driving people back to their property. They will discover,
select and craft content that drives people not just to re-tweet it, because
there is no direct value in that. They will use social channels as a discovery
engine for an audience that will one day fall in love with their content.
The newsroom of tomorrow will be decidedly and
enthusiastically even more data-driven. To the editors who lead this newsroom,
they will not equate this embrace to surrender; it will not lead to lowest
common denominator judgment. Data will drive decisions and accelerate
accomplishment; it will help differentiate brands and journalists, and provide
jet-engine propulsion to the exercise of good judgment on the part of editors.
This will not be because it can or it should, but
because it must. Data as a complement to human editorial judgment is what will
enable editorial teams to compete in the audience business. Advertisers have
long since and wholeheartedly bought into data, and they are using it so
aggressively through exchanges and programmatic buying that they are squeezing
every last ounce from publishers. This imbalance must be addressed, and it can
only happen with a combination of data-driven thinking and distinctive
editorial voices.
Tomorrow's newsrooms will be filled with clear
measures of editorial success and, sometimes, failure, plus plain unambiguous
directions on the steps to address them. What will not be so clear is the voice
that defines each property's response. That will lie in the hands of the editor
– exactly where it should be.
INTERVIVIEW
WITH MARC ANDRESSEN
In doing research for a post on “The Enterprise Cool
Kids” at the tail end of last year, I interviewed Silicon
Valley veteran Marc Andreessen about where he thought the enterprise
was headed.
While excerpts of that interview made it into the
post, the transcript of the entire interview was so good it deserved to be
published in its entirety.
************************
Alexia Tsotsis: Since people like me (millennials)
are putting pressure on our IT departments to buy products that we can actually
use and aren’t blinded by, what do you think the enterprise space will look
like in the next five years?
Marc Andreessen: Yeah. So let me maybe start with
sort of – top-down and bottoms-up is how we think about it, because both are
important — so let me start with historical context and then maybe go to the
stuff happening right now. Is that all set?
Alexia Tsotsis: Yeah, it’s perfect.
Marc Andreessen: So the computer industry started in
1950 and basically ran for 50 years with the same model, which was a model
where all of the new computers, all the new technology, all the new software
started out being sold for the highest prices to the biggest organizations.
So originally the customer was the Department of
Defense. It was the first customer for the computer. In fact, one of the big
first computers was called SAGE, which was a missile defense, the first
missile-defense computer, which was like one of the first computers in the
history of the world which got sold to the Department of Defense for, I don’t
know, tens and tens of millions of dollars at the time. Maybe hundreds of
millions of dollars in current dollars.
And then five years later computers became — they dropped
half in price and then the big insurance companies could buy them, and that’s
when Thomas Watson, who ran IBM at the time, was quoted as saying, “There’s
only a market need in the world for five computers.”
The reason that wasn’t crazy when he said it is
because there were only five organizations that were big enough to buy a
computer. So that’s how it started. And then IBM came along and productized the
mainframe, and then all of a sudden big normal companies — manufacturing
companies and banks — could start to buy computers. And then DEC came along and
came out with the minicomputer, and then all of a sudden smaller companies
could start to buy computers. And then the PC came out and then all of a sudden
individuals could start to buy computers. But the PC only ever got to hundreds
of millions of people. It never got to billions of people.
Now, the smartphone has come out and it can get to
billions of people.
And so it has always been this kind of trickle-down
model for 50 years. We think that basically about 10 years ago the model
flipped. And so we think that the model flipped to a model where, today, where
the most interesting and advanced new technology now comes out for the consumer
first. And then small businesses start to use it. And then medium-size
businesses start to use it, and then large businesses start to use it, and then
eventually the government starts to use it. But this is a complete change from
the way it has always worked.
Alexia Tsotsis: It’s grassroots versus trickle-down.
Marc Andreessen: Versus trickle-down. And the reason
is because – the reason fundamentally is because now that you have got these
things, you have — now that you have a computer in everybody’s hand, all of a
sudden all these barriers — it used to be these barriers to market entry were
so big, it used to be there just weren’t that many early adopters in the world.
To bring out a new technology for consumers first, you just had a very long
road to go down to try to find people who actually would pay money for something.
And now all of a sudden you have got this global
market of all these early adopters that have smartphones connected to the
Internet, and they can just pick up their things and run with them.
And of course consumers can make buying decisions
much more quickly than businesses can, because for the consumer, they either
like it or they don’t, whereas businesses have to go through these long and
involved processes.
So that’s the big, big, big change that’s happened.
And that’s been reflected in the entrepreneurial community, where
entrepreneurs, especially between 2000 and 2008, entrepreneurs really only
wanted to do — for the most part wanted to do consumer software, because that’s
the only software that they could actually get anybody to adopt. It became very
hard to get businesses to adopt new stuff.
In the last five years, there’s been this sort of
acknowledgment of the consumerization of the enterprise, which is consumer
product development, design methods applied to business software, of which SaaS
and cloud and all these things are examples. Salesforce.com, Evernote is an
example. So now you have got the rise of this new set of companies that are
sort of consumerized technology for businesses.
Then from a bottoms-up standpoint what you said is
exactly right, I think, which is that the new generation of employees grew up
on smartphones and tablets and touch and everything, social networking and
Twitter and everything else. And so if you take a typical mainframe or, even
these days, PC-based system and you give it to a 22-year-old college graduate,
it’s like beaming in products out of the Stone Age. Why would you do that? Why
would you force people to use all this old stuff?
And then that leads to the big thing that’s starting
to happen right now, which is this “Bring Your Own Device” movement, where more
and more companies are saying, well, basically, if I have to support
smartphones and tablets anyway, and my CFO is probably carrying around an iPad
and all my new employees are coming in with iPhones, so I have already got to
support this stuff, so then I might as well encourage it.
And I might as well basically have a model where
instead of issuing a company laptop to everybody or even a company phone, why
don’t I just let people bring in whatever device they want and just plug-in and
access it.
And then they get all excited, because then they
say, well, not only are my employees going to be happier and more productive,
but then I don’t have to buy them hardware anymore, so I can cut my budget. So
that’s the big thing that’s starting to happen right now.
Alexia Tsotsis: So how does it affect the way people
are building? I have about five companies that have made this list. Some of
them are yours — Okta, which is big on the Bring Your Own Device thing, because
you are logging in through Okta. Okta, Cloudera, Box, GitHub, Zendesk, and
Asana. Are there any that I have missed?
Marc Andreessen: We just invested in this company
called ItsOn, that we announced yesterday.
Alexia Tsotsis: Oh, the mobile –
Marc Andreessen: The mobile billing. The advantage —
the thing that that’s going to be able to do is do split billing in a new way,
between the business and the consumer. So on a single device you will be able
to cleanly build data usage by application. So your employer can pay for your
Salesforce.com and your Workday data usage on your phone and you get to pay for
your Facebook and your Hulu usage. So that will be another enabler for a lot
more of the Bring Your Own Device stuff.
Marc Andreessen: We have a bunch of stealth
investments. I mean, this is a big, big thing — big change for us, so we have a
bunch of stealth investments — I mean, companies that haven’t talked about what
they are doing yet.
Who else? I mean, there is a bunch, who else should
we have –
Alexia Tsotsis: Platfora.
Marc Andreessen: What’s that, Platfora? Yeah,
Platfora is the actual user interface layer on top of Hadoop. So sort of
Platfora and Cloudera kind of go hand in hand.
Actually — we have another one actually that is —
well, it sounds esoteric, but it actually is very relevant. We have a company
called Tidemark, which is in a category. It’s called Enterprise Performance
Management, which is kind of a weird term. It’s basically large-scale financial
planning and analysis for big companies.
The significance is it has a — I believe it only — I
don’t know if it only or primarily, but I think it only has an iPad UI. So it’s
the first complex financial system for big companies, where the assumption is
that the user is on an iPad.
That’s a really big deal, because that category of
software, line managers and businesses have never actually used that software
themselves. Instead they employ analysts to use the software who become highly
trained on the software.
By putting the iPad UI all of a sudden you can have
anybody in the business have access to all the financial analysis and planning.
Even in a very deep sort of sector of enterprise software where most people
would never see it, this change is having a big impact.
What else? Asana you mentioned.
Alexia Tsotsis: Asana, Box, Zendesk, these are the
companies that I am assuming I will be using four years from now to run my
business.
Marc Andreessen: Yeah, exactly! Exactly right! Then
of course Workday, of course, Salesforce.com, of course NetSuite, 37signals. We
probably have three or four others in our portfolio that I am blanking on, but
yeah, this is sort of the — and then by the way, the corresponding thing is
that a lot of this is on how you run a business and then how you do marketing, of
course; AdWords and Facebook and Twitter, all these systems and then all the
enabling systems for that; so HootSuite and Marketo and –
Alexia Tsotsis: GoodData.
Marc Andreessen: Oh, another one, GoodData. So
GoodData is at the intersection of kind of marketing and business. So GoodData
is an actual easy-to-use analytics package. It’s sort of like a supercharged
version of Excel that lets you suck in data, you can suck in all your Facebook
advertising campaigns, you can suck in all your Salesforce.com data, and you
can run — you can actually, yourself, as a small business person, actually
analyze and find friends and data.
Alexia Tsotsis: I have heard good things about them
and they just sent us a guest post.
Marc Andreessen: They are very good. So then you add
up all these companies and you are like, “Well, okay, so number one, they are
all basically new companies. I think who is not on that list are all the
existing companies that sell business software.”
Alexia Tsotsis: SAP, Oracle … I mean I wrote a post about this that
was supremely misunderstood and then today SAP came out with SAP Jam, which is
a competitor to Yammer and to Salesforce, but it’s their own socialized CRM, like
HR management software. I worry about this because it’s not going to work. You
can’t fight the future.
Marc Andreessen: Oh, right, right, right. I mean,
the joke about SAP has always been, it’s making 50s German manufacturing
methodology, implemented in 1960s software technology, delivered to 1970-style
manufacturing organizations, like it’s really — yeah, the incumbency — they are
still the lingering hangover from the dot-com crash.
So a lot of incumbent business software companies
did what a lot of big companies actually did and other industries, media
companies after the dot-com crash, which is they said, “Oh, thank God we don’t
have to worry about this Internet thing. It’s over. Stick a fork in it. It’s
not going to be a big deal.” And then it turned out that it actually wasn’t
over, and they still haven’t adjusted.
Alexia Tsotsis: Yes, and we are watching that now.
And so the other reason that I am very interested in delving deep into this
space is that it seems like IPOs like Workday, Palo Alto Networks are sort of —
they have metrics and analytics that Wall Street understands, more so than a
Facebook; like “We are going to sell X number of this in the next year.” So it
would seem like they are an antidote to, or at least less offensive than, social/consumer
Internet companies are to the public markets.
Marc Andreessen: For now. The whole market goes back
and forth in whether they prefer enterprise businesses or consumer businesses.
The argument in favor of consumer businesses is you don’t have these crazy end
of quarters like when the IT purchasing manager doesn’t buy the product and the
company misses the whole quarter.
The advantage of the consumer businesses is they
tend to be much broader-based, much larger number of customers, that tend to
over time be a lot more predictable. The advantage of the enterprise companies
is they are not as subject to consumer trend, fad, behavior.
But I would say the market is schizophrenic. So
right now we are in an era where the market wants enterprise companies. I am
just saying like wait a year, that will flip again; wait another year after
that, that will flip again.
It’s sort of the picks and shovels thing. Like
everybody — it’s like the consumer businesses get really hot and then everybody
realizes that there is lots of competition and that those models have — they
are complicated businesses and they have their issues, and then everybody gets
all excited about picks and shovels.
And everybody rediscovers the picks and shovels
analogy and says, ” Oh, the Gold Rush in California, the people that made all
the money were the guys who were selling picks and shovels to the prospectors.”
And then people realize the picks and shovels business is really hard, and then
everybody says, “Oh, we should invest in the consumer company because they” —
so it’s just –
Alexia Tsotsis: It’s cyclical.
Marc Andreessen: It’s cyclical. It’s deeply
cyclical. But we are in an environment right now, to your point, where there
has been huge rotation out of the consumer companies into the enterprise
companies.
Alexia Tsotsis: It seems like the consumer market is
starting to cool — I mean, not starting, but the signaling is there.
Marc Andreessen: Yeah. It’s unpredictable. All you
need is for one of the new enterprise companies to completely whiff a quarter
and their stock will collapse and then everybody will get all freaked out. I
mean, it’s just a continuous — the reality is every single business is hard.
Alexia Tsotsis: I love this.
Marc Andreessen: There are no easy businesses in the
world other than maybe Google, but other than that, there is no easy business
anywhere in the world. So what happens is Wall Street gets enamored by the
businesses that look like they are easy, until it turns out that they are not,
and then Wall Street gets disillusioned and freaked out, and then rotates into
the businesses that they think are going to be easy, and then they get endless
disappointment. It’s like a seventh or eighth marriage at some point.
At some point the problem isn’t with your seventh
wife. At some point the problem is with you.
Alexia Tsotsis: Is the solution “keep calm and carry
on,” or what is the solution to this?
Marc Andreessen: There is no solution; it’s a
permanent state of affairs. So this is a big part of what actually we do. A big
part of why venture capital actually is important and enduring is because the
public market is flighty and late-stage investors are flighty, and customers
for that matter are flighty, and so you can’t — if you are running one of these
companies you can’t — you just can’t rely on people being balanced. They are
just not going to be.
And so you have to have a level of determination to
just stick through the good times and the bad times. And you need to have
investors at the core of your company who are going to support you through
that.
The big advantage that we have as a venture capital
firm over a hedge fund or a mutual fund is we have a 13-year lockup on our
money. And so enterprise can go in and out of fashion four different times, and
we can go and invest in one of these companies, and it’s okay, because we can
stay the course.
And then what happens is everything tends to get
better, all the products tend to get better, all the companies tend to get
better over time if they are working hard at it. So we are fine. Like if
everything we are investing in goes out of fashion, we are not going to change
anything we do, because we can’t change anything. We are already invested in
these companies; we can’t sell our stock. We don’t have to sell our stock. So
we just say, we will go back to work. And then at some point it really gets
exciting again.
Alexia Tsotsis: I guess the trick is to be
hyper-aware.
Marc Andreessen: So the big thing we try to do is be
aware of the difference between the reality and the psychology, and the reality
tends to progress in a certain way and then psychology tends to whip all over
the place.
It was very educational for a lot of us to go
through the dot-com crash, because you remember, in 2002, like there were a
number of universal truths asserted in 2002; the Internet didn’t matter,
consumer Internet business was dead. Larry Ellison in 2002 came out and gave a
speech and said the correct model for enterprise software, enterprise
computing, will last for 1,000 years.
He said all these kids that were trying all this new
stuff and it didn’t work, and now we know it didn’t work, and so the model is
going to be the existing IBM and Oracle for the next 1,000 years. And everybody
kind of said, hmm, you know, that makes a lot of sense, like all that innovation
stuff didn’t work, and so –
Marc Andreessen: Exactly, this is the fact. People
reach a point where they start to get a little bit too rich, maybe a little bit
too old, and they start to say these things.
And then so here we sit 10 years later and we are in
the middle of a complete reinvention of everything in enterprise computing, and
it’s like, okay, like that’s the reality. People happen to be excited about it
again at the moment. That’s great. I am happy for that. But wait two years and
they will be depressed about it again, but that won’t keep it from happening.
It will still happen.
Alexia Tsotsis: It’s just like the fashion industry.
So because it’s heavily fashionable now, do you see it being over in a year?
Marc Andreessen: No, I don’t mean to make a specific
prediction. I don’t know if it’s a year, two years, four years. Look, all of
the products are going to keep getting better. All of the trends that we are
talking about are going to keep continuing. Nothing is going to stop
consumerization of the enterprise. Nothing is going to stop Bring Your Own
Device. Nothing is going to stop Software-as-a-Service. Nothing is going to
stop cloud. All those things are just going to keep going.
I am just saying people are going to be — they are
all excited about them now. At some point again they will be unexcited about
them and then at some point after that they will be excited about them again.
So it’s hard to draw conclusions about the importance of the trends or the
progress of the trends by the current level of press coverage, the current
level of Wall Street enthusiasm.
Alexia Tsotsis: So beyond the press coverage, beyond
the fickleness of trends, beyond the application layers — because most of those
companies are just apps — what are the real opportunities you see in the
enterprise stack as it stands right now?
Marc Andreessen: Well, there is a whole bunch. So
there is a big thing — there are a couple of big things that are happening. So
one of the really big things that’s happening is, historically the best
enterprise technology was only — it’s a trickle-down thing — the best business
technology was only ever available to the biggest companies.
And so if you were a Fortune 500 company with a big
IT department, you had a huge advantage over a small business that was trying
to compete with you, because you just had so much more budget and staff and
professionals and expertise and access to all these big vendors and you could
spend tens and millions of dollars on all this stuff.
So it was very easy for — in the old world it was
very easy for big companies to use IT as a weapon against small companies.
The classic was Walmart versus local retailer,
right? Walmart’s advantage in logistics and in pricing and in data analytics
was just so great that they could kill small retailers at will.
Today all the consumerized enterprise stuff is as
easily usable by the small business as it is by the large business. In fact,
it’s probably more easily usable by the small business than it is by the large
business, because with a small business it’s like you can just use it, like you
don’t have to go through a long process, you don’t have to have a lot of
meetings, you don’t have to have committees, you don’t have to have all this
stuff, you can just start picking up and using it.
So the best technology for inventory management and
for financial planning and for sales-force management and for online marketing
can now be used just as easily or more easily by a small business. There is an
opportunity here for a shift of the balance of power for big businesses to
small businesses.
And then for vendors, the companies we fund, there’s
an opportunity to really dramatically expand the market, because a company like
Oracle, as successful as it is, it only really has about 5,000 customers that
really matter worldwide. Whereas, a company like Box or a company like GitHub
could have 500,000 customers or 5 million customers that really matter, and
that’s a huge change.
So market expansion, small business versus big
business, what else? Oh, the shift, the other big one, the shift from CAPEX to
OPEX. So the shift from buying a lot of servers and databases and software
licenses and networking equipment, the shift instead to just renting it all. So
the shift towards cloud services.
So we don’t have — no company that we invest in
anymore actually ever buys any hardware. I mean, they buy their laptops and
that’s basically it. And increasingly they might not buy their laptops, because
their employees will just bring their own devices. But they don’t buy servers.
They don’t buy storage devices. They don’t buy any of this stuff, they just
rent on AWS. And they don’t buy sales-force automation software, they rent on
Salesforce.com.
And so having sort of a much lighter-touch way for
businesses to be able to get funded, you just need a much smaller budget. And
that’s why you see these — you see it in the startup world, you see three or
four kids with laptops who are able to go do amazing things on a global scale
for no money. And I think businesses are going to figure out more and more how
to do that as well.
Alexia Tsotsis: Do you think that the biggest
inefficiencies are at the network layer, the database layer, or the storage
layer currently?
Marc Andreessen: All the above. They are all
changing. I think they are all changing.
Alexia Tsotsis: What do you think about the
interplay between the enterprise market becoming more efficient and the
explosion of the consumer market because you don’t have to pay for something
like storage?
Marc Andreessen: I don’t know, it’s sort of all
intertwined. I mean it’s all — because a lot of what businesses do is then offer
consumer services based on all these changes. So it’s kind of all — that’s why
I say it’s kind of all happening at the same time, a lot of the same stuff.
I would say the consumer Internet companies — in a
lot of ways if you go inside the consumer Internet companies and you see how
they run, it’s how all their businesses are going to run. They are going to be
doing all of the same kinds of things. The big businesses are just in the
process of trying to figure out how to catch up.
So everything, Hadoop and scale-out architectures
and cloud services, and the whole thing it’s all — and use of new technologies
like Box and GitHub, the consumer Internet companies all are just built this
way. And then if you go inside a big consumer product’s company or a big
manufacturing company, they are all trying to figure out how to make the jump.
But it’s all kind of the same stuff.
Alexia Tsotsis: So which of the big incumbents do
you think are most likely to get disrupted by this new wave of the enterprise
cool kids?
Marc Andreessen: Yeah, this is the part where I get
into the most trouble.
Alexia Tsotsis: That’s why we save it for the end.
Marc Andreessen: Yeah, exactly! I don’t know if I am
going to — let’s see, I am going to try and figure out if I am even going to answer
the question.
So I would say for sure — like the systems
companies, like the companies that provide hardware, the server companies and
networking companies, the bad news for them is the end customers are not going
to buy as much stuff; the good news is the cloud companies are buying a lot of
stuff.
So for every server that’s not bought at a
manufacturing company, there’s a server being bought at Amazon. So it’s a
change in purchasing pattern for all the gear, but the gear is still being
bought.
I think it’s at the software layer where the big
disruption happens. I think it’s application software in particular and just
sort of an extended infrastructure software. It’s like anything for which there
is a — any piece of installed software for which there’s a web or a cloud
equivalent, I think is in real trouble, and I think that’s just now becoming
clear.
The other thing that’s happened is 2012 seems to be
the year of the actual SaaS tipping point, like where big companies are now
saying, you know what, it’s fine, like I can do it, I can do Salesforce, I can
do Workday. Because there used to be lots of issues around can I trust the
security issues or liability issues, and an awful lot of big companies are now
saying, “You know what, I am going to save so much money, the service is going
to be so much better, my users are going to be so much happier, more
productive. I have got to make this stuff work on iPhones anyway, so I have got
to do something new.”
“My old software vendors are charging me these huge
upgrade and maintenance prices. I can switch to SaaS for less than the cost of
the maintenance on the old software.” Like, at a certain point it becomes
–”Oh,” and then on security it’s like, “Yeah, I may have concerns about SaaS
security, but it turns out I have the concerns about my own internal security
anyway.”
So every one of these companies has had an employee
steal a laptop that has 25 million customer records on it, and they are like,
“Well, okay, if I can’t even lock that down, then why am I that worried about
whether somebody is going to break into Salesforce.com?” And by the way,
Salesforce.com has gotten much better at security.
So there is a bunch of new technologies coming out
that are going to make cloud and SaaS even more secure, and I think are going
to end up making — I think cloud and SaaS are going to end up being a lot more
secure than anything inside the firewall. So that’s the other thing that’s
about to happen.
Alexia Tsotsis: So which enterprise companies are
doing their best to adapt to just this tidal wave of trends and which ones are
just completely failing?
Marc Andreessen: The problem is I have conflicts on
this issue, because I am on the HP board in particular, so I can’t really —
unfortunately I am kind of gagged on the topic of the big companies.
Alexia Tsotsis: Are you happy with how HP is doing?
Marc Andreessen: This is exactly what I can’t talk
about. I just can’t talk about it. So the problem is I can’t talk about HP and
I can’t talk about HP’s competitors, so it’s just a no-fly zone for me.
Alexia Tsotsis: I respect that.
Marc Andreessen: So I have to stick to the startups.
Alexia Tsotsis: Let’s see, what about other
companies that aren’t in your portfolio?
Marc Andreessen: Although I have a lot of opinions.
You mean startups?
Alexia Tsotsis: What about startups that aren’t in
your portfolio, because you said that only 10, 15 companies a year are
responsible for 97 percent of the returns. Which enterprise companies that
aren’t in your portfolio are you interested in?
Marc Andreessen: So let’s see, there is this
category of kind of outsourced work.
Alexia Tsotsis: TaskRabbit.
Marc Andreessen: Well, there’s TaskRabbit and Zaarly
and companies like that on the consumer side; and then on the business side
there’s eLance and oDesk and RentACoder. So these companies that are kind of
for — in the sort of mechanical term, distributed workforces and outsource work
being run online.
So like oDesk, oDesk you can actually have remote
contractors working on a project, and one of the features is that it actually
takes snapshots of their screen every five minutes. You can see if — anybody
who actually manages anybody, number one that sounds spooky, but number two,
“Wow, that sounds great, like, I sure wish I can do that.”
So there is sort of the whole category of an
outsourced workforce that sort of — it goes back to what you said about the
employees is, you will have — it feels a lot like in the new economy you will
have a lot more contractors. You will have a lot more people with sort of fluid
careers contracting on a project basis, and then all this technology is going
to be an enabling layer for that.
So anybody on their laptop, anywhere in the world,
being able to tap in and be able to get work and do work, whether it’s for
small companies or big companies like that. There is a whole layer of software
there. We haven’t seen anybody really punch through on that yet, but I am very
fascinated by it. We haven’t made an investment there yet. That’s one layer.
Let me think, what else haven’t we done? I mean,
Cloudera is I think a good — we haven’t actually done an investment at that. We
haven’t done an investment at the Hadoop layer. We have done — Platfora is our
investment, which is the intelligence layer above Hadoop, but Cloudera
definitely deserves to be on the list.
Zendesk and kind of its generation of companies are
definitely for real, or so it appears.
What else? We have been pretty active. I mean, we
have been trying to take down mostly good companies. We haven’t done anything
yet with this whole category of marketing, the new marketing software so like
Marketo and HootSuite and companies like that, we haven’t really done anything
yet, but that’s a big deal.
It’s sort of like — if you are starting a new
company it’s so obvious that you would want to do most of your marketing on
Google and Facebook and Twitter, whereas a lot of the existing companies still
haven’t wrapped their heads around that.
Education — there is actually going to be more and
more. So actually companies are going to get a lot more interested in education
for two reasons.
Number one is, a lot of companies need to actually
educate their customers or their partners, and a lot of that has to happen
online.
And then the other thing is companies are having —
if you talk to anybody running a company, they are having real trouble hiring
enough qualified people. So companies are going to have to take a more direct
role in educating the candidates or educating their current employees.
So the sort of model of employees just show up and they
are either educated or they are not is not working very well. There’s lots of
mismatches. It’s one of the reasons unemployment is running as high as it is,
is people just don’t have the skills they need for the jobs.
So I think employers are going to have to get a lot
more actively involved in making sure that the supply of candidates is actually
educated and that they can hire somebody who doesn’t yet know what they need to
know and actually educate and train them, and a lot of that is going to happen
with the new technology.
So we have this company Udacity as an example,
that’s going to be, I think, important in all of that.
Alexia Tsotsis: I think the model there is if
someone shows up and they have got 80 percent of the skills.
Marc Andreessen: Yeah, let’s teach them — right,
exactly, the employer says let’s teach them the other 20 percent. And it’s
like, well, instead of literally sending them to college, which presumably
didn’t work the first time around or whatever, let’s just go ahead and provide
them with the online training. Let’s set them up with their tablet at home with
high-definition video. They can develop their remaining skills, or be able to
retrain people once they are in the jobs.
The other is there is this real issue, like for some
people it feels great to never be tied to a specific employer and to always be
doing contract work and be changing jobs every two years, and it feels like
it’s fun and exciting and exhilarating. For a lot of people that’s really
scary. And so the lifetime employment promise that the big companies used to be
able to make was very compelling for a lot of people because it felt safe.
So now you are in a world where the big companies
can’t deliver — even if they wanted to deliver on lifetime employment, they
can’t, and so then they have got sort of two choices.
One is, do they start to basically be a lot rougher
with their — they start to do a lot more layoffs, a lot more restructurings. I
remember IBM — I don’t think IBM had a layoff for 50 years. And I was actually
at IBM — I was an intern at IBM when they were ramping up for their first
layoff I think they had ever done, and, like, the level of freak out in the
company was beyond belief. And people had no idea what to do if they got laid
off from IBM. And it turns out their skills weren’t actually very useful to
work for any other company, because IBM was so unique in how it ran.
So I think the companies have a real question about
how do they develop their workforces, how do they make sure that their
employees stay relevant for the purpose of staying inside a company for a
longer period of time? And then how do you get the workforce over time to be a
lot more flexible and adaptable, so that if you have to layoff a ton of people,
or if you have to get out of a line of business, or if you have to expand into
a new business, how do you get your current employees to adapt better to that?
Alexia Tsotsis: Do you think that’s the most
ripe-for-disruption area in the enterprise currently?
Marc Andreessen: I don’t know if it’s the most, but
it’s a big issue for every company. It’s a big issue for companies, because
companies have hundreds and thousands of employees, it’s like, yeah.
Alexia Tsotsis: What are the top three issues that
startups don’t exist for yet, because that sounds like one that a startup
doesn’t exist for …
Marc Andreessen: Sort of. Education is a big
component of it, yeah, it’s possible, it’s possible. I don’t know. We will wait
for the entrepreneurs to answer that question.
Alexia Tsotsis: Probably the biggest enterprise cool
kid is GitHub?
Marc Andreessen: They are a big one, yeah.
Alexia Tsotsis: And you made a major investment?
Marc Andreessen: Yeah. We think it’s the largest
investment ever done.
Alexia Tsotsis: How did you convince them to take
your money?
Marc Andreessen: That’s the key thing. So they were
beating off venture capitalists with a stick. So they actually — I don’t know
if you remember this, they used to have on their website, they used to say —
they had four metrics that they would put on their website. They had, I think,
it was number of users, number of projects, number of code check-ins, and
amount of venture capital that they had raised, and that final number was
always zero, and they were really proud of that.
The GitHub guys did an amazing job. It’s very rare
actually to find a main — it’s very rare to find an important company that
never raised any money. It’s very rare that they actually successfully
bootstrapped, because it’s just so hard to do if you can’t invest any money.
So what they did was incredibly impressive. They
reached a point though where they decided that they had the opportunity to
become a very big and important company. And again, I would say there was a
top-down and a bottom-up reason for that.
The top-down reason was they are the place, we
think, and they believe, they are the place where all the software code wants
to live. They are the place where all the open source code increasingly lives.
All other code increasingly uses a ton of open source code. And so all the
software basically wants to be in the same place, and it wants to be in the
place where all the open source software is.
So they have an opportunity to be the main company
that provides the systems for developing software, number one, which is just a
very big opportunity, and they really decided to go for it, and that requires
investment on their part.
And then the bottom-up reason was because they have
enterprise customers lining up, like they have enterprise customers bombarding
them with interest in buying services on GitHub. And they did not have — at the
time we invested they didn’t yet have any sort of sales or marketing kind of
motion to be able to do it on. They didn’t have a Salesforce, they didn’t have
the sort of pricing plans — the whole thing to be able to do that — and we have
a lot of experience with that.
Alexia Tsotsis: So who are the enterprise companies
and do they have –
Marc Andreessen: Tons, it’s like the who’s who. I
mean, they gave us access. One of the things they did in the diligence process
was they gave us access to the email box that had all the incoming messages
from all the CIOs and purchasing managers and all these big companies. And it’s
literally like, “Hi! I am from big bank X and we already have like 600 people
on GitHub and we want to buy an enterprise license. Who do we call and where do
we send the check?” And they just had the email queue up this, and they didn’t
have — they weren’t — like it’s just sitting there.
And so we are working with them to help them build
out the sales and marketing capability to be able to really go get all that
business.
Alexia Tsotsis: And that’s how it will make a
billion dollars a year?
Marc Andreessen: Yeah, yeah. Well, I don’t know, we
will see how. I mean, aspirationally, yes. It should be a very big business.
Historically companies in that market have been very successful. Big one,
Rational is a big company that IBM bought a while back that’s in the same
market.
And then even companies, Mercury Interactive was a
big company that HP bought that was in a similar kind of market. And then in
the old days you had companies like Borland and Lotus that were very big in
these markets. So this is sort of the new version of all that. So if it works
it should be very — I mean, it’s working, so it should be very big.
Alexia Tsotsis: So we are watching the collapse of
Zynga and Groupon and LivingSocial in the consumer space. Where is the
bloodbath going to be, if there is one, in the enterprise space?
Marc Andreessen: I don’t know. Probably in the
second and third tier. I mean, usually when you have a funding boom, categories
usually get overfunded.
So probably it’s in the second- and third-tier
competitors. We actually get yelled at for this a lot, but we really believe
it. So the big technology markets actually tend to be winner take all. There is
this presumption — in normal markets you can have Pepsi and Coke. In technology
markets in the long run you tend to only have one, or rather the number one
company in — the number one company in any consumer products — cars, the number
one company in cars is, I don’t know, Toyota or whoever it is.
Alexia Tsotsis: I think it’s Toyota.
Marc Andreessen: Fifteen percent or 18 percent
market share. The number one soft drink has only 60 percent versus Pepsi, but
like what is Coke as a percentage of all drinks, it’s, I don’t know, maybe 10
percent.
The big companies, though, in technology tend to
have 90 percent market share. So we think that generally these are
winner-take-all markets. Generally, number one is going to get like 90 percent
of the profits. Number two is going to get like 10 percent of the profits, and
numbers three through 10 are going to get nothing.
And the problem is, of course, there is too much
venture capital, and so companies three through 10 still get funded. So there
are probably lots of sort of second- and third-tier companies that are getting
funded right now that won’t succeed, but that won’t have anything to do with
whether or not the winner succeeds.
Alexia Tsotsis: Which is all the venture capitalists
–
Marc Andreessen: Well, the venture capitalists who
are successful in investing in the winners will be very happy with this. The
venture capitalists who are investing in the losers will be very sad. But
everybody will get freed, because at some point there will be a bunch of
companies — a bunch of startups that will go bankrupt, and then everybody will
say, that must mean the whole sector is going down.
I just think people get confused. People get
confused about — it’s really funny watching the stock. Like the stock market
does this all the time. It’s like one Internet advertising company will have a
bad quarter and the other Internet advertising companies’ stocks will all drop.
Alexia Tsotsis: It’s tethered.
Marc Andreessen: Maybe, but maybe it’s because the
other ones are now taking market share away from the one that had a bad
quarter. So I find the markets all have trouble processing cause and effect in
the short-term and people get all confused.
Alexia Tsotsis: What is the solution to that? It’s
so perplexing.
Marc Andreessen: That’s permanent. I think it’s
permanent. I think it’s human nature. There are certain things that can’t be
fixed, and I think that’s one of them.
Alexia Tsotsis: One would argue that the enterprise
has come back into fashion, because the market is cooling on the Instagram deal
being a billion dollars and now being $700 million. The market is cooling on
all these photo-sharing apps and just ways to update your friends about your
whereabouts.
Is the only reason the enterprise is sexy because it
actually makes money and has results, or is there some overlaying tide of
innovation that’s happening that’s exciting people simply because it’s
culture-changing?
Marc Andreessen: I think it’s all the above. I think
the changes are real. The businesses are good, which is nice. And then I think
it’s also sector rotation. We talk to a lot of the big hedge funds, mutual
funds. It’s really funny. We are talking about big hedge funds, mutual funds,
about six months ago they all started saying, well, you know, we really think
there is going to be a rotation from consumer and enterprise, and we are going
to really get ahead of that. And I am like, yeah, you and 10 other guys in the
last two weeks have told me the same thing. It’s like, good job, you are way
out ahead on the leading edge on this.
I get to the point where I am just like — my running
joke has been, it’s like little kids, like everybody out of the consumer pool,
everybody into the enterprise pool. So everybody out of the waiting pool,
everybody into the hot tub.
What happens when you have capital flowing in a
rotation is, if all the capital starts to leave one sector and go to another
sector, then all the stock prices rise in the sector that all the capital is
going into, because everybody is buying those stocks.
And then everybody says, wow, look at how much those
stocks are going up. We should invest in those stocks. And so the up cycle
starts perpetuating.And the down cycle similarly — a lot of reasons people have
been selling out of the consumer stocks is because they have been going down,
because people have been selling out. So the cycle is perpetuating.
Alexia Tsotsis: So what should the smartest
entrepreneur do? You have $1.2 billion to spend. Where are you spending it?
Marc Andreessen: Investing. So the smartest
entrepreneurs I think generally ignore all this. We really look for the
entrepreneurs who don’t pay any attention to this. We really look for the
entrepreneurs who say the following, they say: “I have this really good idea
and I know it’s a good idea for the following eight reasons, and I have thought
about it and I have worked in the field, and I know what I am doing, and I have
talked to the customers and I have figured it out, and I am going to do it. I
am just going to flat-out do it. And I am going to do it whether you fund me or
whether you don’t fund me or I don’t get funded. I am still going to do it.”
That’s the entrepreneur we are looking for.
Sometimes that entrepreneur is in a sector that’s
completely dead, and that entrepreneur is going to say, I know that everybody
thinks that this sector is just dead, and in fact that’s probably why now is a
good time for me to do this — is because I am not going to have very much competition.
Well, so a lot of these companies you talk about
now, like Workday and GitHub and Box, got formed and funded when everybody
thought enterprise was dead. Just like the consumer companies like Facebook and
Twitter got funded and everybody thought the consumer stuff was dead.
So sometimes you get the entrepreneurs who are
actually counter-cyclical. They are doing it precisely because nothing else is
happening in that sector, and that means the big opportunities are just wide
open.
On the other hand, sometimes you get the
entrepreneurs who say, “I know I am doing the 36th workforce collaboration
system in the consumer side; Google was the 36th search engine, and I know it’s
1999, and I know the whole sector is overfunded, but I have a better idea. I know
how to do it better, I know how to do it different. I have learned from the
mistakes that everybody else is making, and I am going to be the winner.”
And so we will fund either one. We fund companies in
the hot sectors and we fund companies in the not-hot sectors. The only
difference is the pricing, and the pricing varies basically by like 4x. But
what we have just found or what we have sort of tried to learn from history is
you can’t — for what we do you can’t really time the stuff. And the last thing
you want to do is look at what’s happening in the public market today. And this
is the thing that’s weird about how venture capital works — a lot of venture
capital investments are decided based on whatever the NASDAQ is doing.
Alexia Tsotsis: Are you seeing down rounds because
the NASDAQ is down?
Marc Andreessen: No, we have not seen down rounds
yet. We have not seen down rounds yet, but consumer rounds that are happening
now — consumer growth rounds are happening now at 2-4x lower prices than they
were six months ago.
And the enterprise pricing is up a lot. Enterprise
pricing a year ago was probably half what it is today. Maybe a third in some
cases, and that made us happy at the time, but it’s all good.
Alexia Tsotsis: Last question — your top five
enterprise cool kids?
Marc Andreessen: I think they are all on your list.
Alexia Tsotsis: They are on my list?
Marc Andreessen: Yeah, yeah.
KURZWEILL ON CREATING A MIND
I just got
done reading Ray Kurzweil's How
to Create a Mind, his latest on how machines
will soon (2030ish) pass the Turing test, and then basically become like robots
envisaged in the 60's, with distinct personalities, acting as faithful butlers
to our various needs.
And then, today over on The Edge, Bruce Sterling is saying that's all a pipe dream, computers are still pretty dumb. As someone who works with computer algorithms all day, I too am rather unimpressed by a computer's intelligence, but Kurzweil made me a little more appreciative of what they can do.
He notes that IBM's Watson won a Jeopardy! contest by reading all of Wikipedia, a feat clearly beyond any human mind. Further, as Kurzweil notes, many humans are pretty simple, and so it's not inconceivable a computer can replicate your average human, if only average is pretty predictable. Sirri is already funnier than perhaps 10% of humans.
Human's have what machines currently don't have, which is emotions, and emotions are necessary for prioritizing, and a good prioritization is the essence of wisdom. One can be a genius, but if you are focused solely on one thing you are autistic, and such people aren't called idiot-savants for nothing.
Just as objectivity is not the result of objective scientist, but an emergent result of the scientific community, consciousness may not be the result of a thoughtful individual, but a byproduct of a striving individual enmeshed in a community of other minds, each wishing to understand the other minds better so that they can rise above them. I see how you could program this drive into a computer, a deep parameter that gives points for how many times others call their app, perhaps.
Kurzwiel notes that among species of vole rats, those that have monogamous bonds have oxytocin and vasopressin receptors that give them a feeling of 'love', and those where dads are just sperm donors don't. Hard wired emotions dictate behavior. Perhaps computers can have emotions, you can put in something for sadness when they aren't called by other programs or people, a desire to see users with physical correlates to fertility like smooth skin and tone bodies. But it's one thing to program an aversion to solitude, another to desire a truly independent will.
Proto humans presumably had the consciousness of dogs, so something in our striving created human consciousness incidentally. Schopenhauer said "we don't want a thing because we have found reasons for it, we find reasons for it because we want it." The intellect may at times to lead the will, but only as a guide leads the master. He saw the will to power, and fear of death, as being the essence of humanity. Nietzsche noted similarly that "Happiness is the feeling that power increases." I suppose one could try to put this into a program as a deep preference, but I'm not sure how, in that, what power to a computer could be analogous to power wielded by humans?
Kierkegaard thought the crux of human consciousness was anxiety, worrying about doing the right thing. That is, consciousness is not merely having perceptions and thoughts, even self-referential thoughts, but doubt, anxiety about one's priorities and how well one is mastering them. We all have multiple priorities--self preservation, sensual pleasure, social status, meaning--and the higher we go the more doubtful we are about them. Having no doubt, like having no worries, isn't bliss, it's the end of consciousness. That's what always bothers me about people who suggest we search for flow, because like good music or wine, it's nice occasionally like any other sensual pleasure, but only occasionally in the context of a life of perceived earned success.
Consider the Angler Fish. The smaller male is born with a huge olfactory system, and once he has developed some gonads, smells around for a gigantic female. When he finds her, he bites into her skin and releases an enzyme that digests the skin of his mouth and her body, fusing the pair down to the blood-vessel level. He is then fed by, and has his waste removed by, the female's blood supply, as the male is basically turned into a parasite. However, he is a welcomed parasite, because the female needs his sperm. What happens to a welcomed parasite? Other than his gonads, his organs simply disappear, because all that remains is all that is needed. No eyes, no jaw, no brain. He has achieved his purpose, has no worries, and could just chill in some Confucian calm, but instead just dissolves his brain entirely.
A computer needs pretty explicit goals because otherwise the state space of things it will do blows up, and one can end up figuratively calculating the 10^54th digit of pi--difficult to be sure, and not totally useless, but still pretty useless. Without anxiety one could easily end up in an intellectual cul-de-sac and not care. I don't see how a computer program with multiple goals would feel anxiety, because they don't have finite lives, so they can work continuously, forever, making it nonproblematic that one didn't achieve some goal by the time one's eggs ran out. Our anxiety makes us satisfice, or find novel connections that do not what we originally wanted but do what's very useful nonetheless, and in the process helped increase our sense of meaning and status (often, by helping others).
Anxiety is what makes us worry we are at best maximizes an inferior local maximum, and so need to start over, and this helps us figure things out with minimal direction. A program that does only what you tell it to do is pretty stupid compared to even stupid humans, any don't think for a second neural nets or hierarchical hidden markov models (HHMMs) can figure stuff out that isn't extremely well defined (like figuring out captchas, where Kurzweil thinks HHMMs show us something analogous to human thought).
Schopenhauer, Kierkegaard, and Nietzsche were all creative, deep thinkers about the essence of humanity, and they were all very lonely and depressed. When young they thought they were above simple romantic pair bonds, but all seemed to have deep regrets later, and I think this caused them to apply themselves more resolutely to abstract ideas (also, alas, women really like confidence in men, which leads to all sorts of interesting issues, including that their doubt hindered their ability to later find partners, and that perhaps women aren't fully conscious (beware troll!)). Humans have trade-offs, and we are always worrying if we are making the right ones, because no matter how smart you are, you can screw up a key decision and pay for it the rest of your life. We need fear, pride, shame, lust, depression and envy, in moderation, and I think you can probably get those into a computer. But anxiety, doubt, I don't think can be programmed because logically a computer is always doing the very best it can in that's its only discretion is purely random, and so it perceives only risk and not uncertainty, and thus, no doubt.
The key, as Minsky always told me, was uncertainty, true uncertainty as discussed by Keynes and Knight. If it is truly non-quantifiable, then a computer can not understand it, and they will never empathize with us correctly, never accurately have a 'theory of mind' that comes naturally for humans. After all, without uncertainty, there really isn't doubt, which Schopenhauer said was the essence of consciousness. So, the search for AI, and a model of 'real risk', seemed joined at the hip.
And then, today over on The Edge, Bruce Sterling is saying that's all a pipe dream, computers are still pretty dumb. As someone who works with computer algorithms all day, I too am rather unimpressed by a computer's intelligence, but Kurzweil made me a little more appreciative of what they can do.
He notes that IBM's Watson won a Jeopardy! contest by reading all of Wikipedia, a feat clearly beyond any human mind. Further, as Kurzweil notes, many humans are pretty simple, and so it's not inconceivable a computer can replicate your average human, if only average is pretty predictable. Sirri is already funnier than perhaps 10% of humans.
Human's have what machines currently don't have, which is emotions, and emotions are necessary for prioritizing, and a good prioritization is the essence of wisdom. One can be a genius, but if you are focused solely on one thing you are autistic, and such people aren't called idiot-savants for nothing.
Just as objectivity is not the result of objective scientist, but an emergent result of the scientific community, consciousness may not be the result of a thoughtful individual, but a byproduct of a striving individual enmeshed in a community of other minds, each wishing to understand the other minds better so that they can rise above them. I see how you could program this drive into a computer, a deep parameter that gives points for how many times others call their app, perhaps.
Kurzwiel notes that among species of vole rats, those that have monogamous bonds have oxytocin and vasopressin receptors that give them a feeling of 'love', and those where dads are just sperm donors don't. Hard wired emotions dictate behavior. Perhaps computers can have emotions, you can put in something for sadness when they aren't called by other programs or people, a desire to see users with physical correlates to fertility like smooth skin and tone bodies. But it's one thing to program an aversion to solitude, another to desire a truly independent will.
Proto humans presumably had the consciousness of dogs, so something in our striving created human consciousness incidentally. Schopenhauer said "we don't want a thing because we have found reasons for it, we find reasons for it because we want it." The intellect may at times to lead the will, but only as a guide leads the master. He saw the will to power, and fear of death, as being the essence of humanity. Nietzsche noted similarly that "Happiness is the feeling that power increases." I suppose one could try to put this into a program as a deep preference, but I'm not sure how, in that, what power to a computer could be analogous to power wielded by humans?
Kierkegaard thought the crux of human consciousness was anxiety, worrying about doing the right thing. That is, consciousness is not merely having perceptions and thoughts, even self-referential thoughts, but doubt, anxiety about one's priorities and how well one is mastering them. We all have multiple priorities--self preservation, sensual pleasure, social status, meaning--and the higher we go the more doubtful we are about them. Having no doubt, like having no worries, isn't bliss, it's the end of consciousness. That's what always bothers me about people who suggest we search for flow, because like good music or wine, it's nice occasionally like any other sensual pleasure, but only occasionally in the context of a life of perceived earned success.
Consider the Angler Fish. The smaller male is born with a huge olfactory system, and once he has developed some gonads, smells around for a gigantic female. When he finds her, he bites into her skin and releases an enzyme that digests the skin of his mouth and her body, fusing the pair down to the blood-vessel level. He is then fed by, and has his waste removed by, the female's blood supply, as the male is basically turned into a parasite. However, he is a welcomed parasite, because the female needs his sperm. What happens to a welcomed parasite? Other than his gonads, his organs simply disappear, because all that remains is all that is needed. No eyes, no jaw, no brain. He has achieved his purpose, has no worries, and could just chill in some Confucian calm, but instead just dissolves his brain entirely.
A computer needs pretty explicit goals because otherwise the state space of things it will do blows up, and one can end up figuratively calculating the 10^54th digit of pi--difficult to be sure, and not totally useless, but still pretty useless. Without anxiety one could easily end up in an intellectual cul-de-sac and not care. I don't see how a computer program with multiple goals would feel anxiety, because they don't have finite lives, so they can work continuously, forever, making it nonproblematic that one didn't achieve some goal by the time one's eggs ran out. Our anxiety makes us satisfice, or find novel connections that do not what we originally wanted but do what's very useful nonetheless, and in the process helped increase our sense of meaning and status (often, by helping others).
Anxiety is what makes us worry we are at best maximizes an inferior local maximum, and so need to start over, and this helps us figure things out with minimal direction. A program that does only what you tell it to do is pretty stupid compared to even stupid humans, any don't think for a second neural nets or hierarchical hidden markov models (HHMMs) can figure stuff out that isn't extremely well defined (like figuring out captchas, where Kurzweil thinks HHMMs show us something analogous to human thought).
Schopenhauer, Kierkegaard, and Nietzsche were all creative, deep thinkers about the essence of humanity, and they were all very lonely and depressed. When young they thought they were above simple romantic pair bonds, but all seemed to have deep regrets later, and I think this caused them to apply themselves more resolutely to abstract ideas (also, alas, women really like confidence in men, which leads to all sorts of interesting issues, including that their doubt hindered their ability to later find partners, and that perhaps women aren't fully conscious (beware troll!)). Humans have trade-offs, and we are always worrying if we are making the right ones, because no matter how smart you are, you can screw up a key decision and pay for it the rest of your life. We need fear, pride, shame, lust, depression and envy, in moderation, and I think you can probably get those into a computer. But anxiety, doubt, I don't think can be programmed because logically a computer is always doing the very best it can in that's its only discretion is purely random, and so it perceives only risk and not uncertainty, and thus, no doubt.
The key, as Minsky always told me, was uncertainty, true uncertainty as discussed by Keynes and Knight. If it is truly non-quantifiable, then a computer can not understand it, and they will never empathize with us correctly, never accurately have a 'theory of mind' that comes naturally for humans. After all, without uncertainty, there really isn't doubt, which Schopenhauer said was the essence of consciousness. So, the search for AI, and a model of 'real risk', seemed joined at the hip.
While most companies weren't looking, social
business remade the economy
Summary: Although many companies today are struggling to apply
social media to the way they operate, a successful new crop of 'collaborative
economy' startups seems to show that traditional business will be fundamentally
transformed instead.
The evidence has been steadily seeping
into the edges of business thinking for years: The online world has clearly and
systematically changed the rules of business, and companies must adapt or risk
irrelevance. This often seemed self-evident to many of us, even if the ranks of
the Fortune 500 and Global 2000 didn't actually seem to change very much as a
result. But the times, they have recently changed.
It wasn't until rather recently that a
broad swath traditional businesses started to be challenged at their very core
by the realities of social business, a set of relatively new concepts that are
both embodied by and taken from social media that seemed to imply great changes
in the way we work, think, and live.
Admittedly, old media and software --
to hold up two industries almost instantly impacted by the global Internet --
were particularly disrupted early on, by social media and open source
respectively, in such a profound way that they no longer look nearly anything
like they once did. In sharp contrast to these two examples, most other
industries just didn't witness anywhere near the same dramatic threat to their
own business models for well over a decade.
However, that now finally seems to be
changing. The next-generation
digital business seems to have arrived in
scale. With the advent of a potent new generation of high-velocity online
startups aimed much more deliberately at reformulating the basis of what many
types of traditional businesses do, the revolution originally entailed
by social business does appear to be
happening, but not quite as envisioned.
While it was initially believed that
existing market leaders could simply convert their own leadership position in
the old economy into a similar one in the new digital economy, it increasingly
looks like it will instead be led by digital upstarts that are now pushing the
boundaries of just about every traditional type of industry and market niche.
And fortunately or unfortunately, depending on who you ask, very few classical
enterprises seem to be involved this revolution.
The Collaborative Economy: A social
business revolution
How exactly is this happening and
where? One of the most complete conceptions of how this is currently taking
place was recently synthesized by well-known Altimeter analyst Jeremiah Owyang, who has dubbed this next new digital/social revolution the 'Collaborative
Economy.'
The basic idea of the Collaborative
Economy, like so many major shifts, is actually pretty simple: The world has
started moving beyond the simple mass sharing of ideas and media over the
Internet. Instead, we have now begun sharing products and services directly
with each other en masse using the same social media principles.
Owyang believes, and early evidence is starting to support, that this will be
much more disruptive than the first wave of social media was.
Social
technologies radically disrupted communications, marketing, and customer care.
With these same technologies, customers now buy products once and share them
with each other. Beyond business functions, the Collaborative Economy impacts
core business models.
He goes on to observe that traditional
enterprises don't have to stand idly by and wait for startups to empower the
marketplace to meet its own needs:
Companies
risk becoming disintermediated by customers who connect with each other. The
Collaborative Economy Value Chain illustrates how companies can rethink their business
models [DH: my emphasis] by becoming a Company-as-a-Service,
Motivating a Marketplace, or Providing a Platform
A typical example of a high impact
Collaborative Economy startup is Airbnb, the well-known site where anyone can rent out spare rooms or
empty houses for anyone else to use, without the need for an intermediary
business that provides the physical facilities. As a clear shot across the bow
of the hospitality industry, Airbnb will provide on a peak day placements for
up to 200,000 people per night. In comparison, the global hotel megachain
Hilton has only 600,000 rooms as noted
Thomas L. Friedmen in a recent column about
this phenomenon. Thus the size of some of these new startups is now starting to
challenge traditional market leaders, often bending or breaking local laws,
customs, and regulations along the way, which were never designed for the social
business era.
Other examples abound in many
industries including transportation (Uber, Lyft), finance (LendingClub), workforce (oDesk), dining (Feastly), corporate real estate (LiquidSpace, ShareDesk), shopping (Yerdle), venture capital (Kickstarter), and countless others, of which these are just a tiny but
representative sample.
The real point is that in-the-large it
appears to be a broad demographic digital business trend. Owyang's research
pegs the current
value of the Collaborative Economy at $26
billion today, with other data showing it growing overall at a 25% year-over-year
rate. Plotted forward five or ten years, and it is evident that the
Collaborative Economy will become a major portion of the world economy sooner
or later, and very probably the former.
Part of the reason that the timing
appears to be right for these big ideas is that in a consumption-based society
we individually now posses so much in terms of usable resources, and yet they
are also typically quite underutilized. The sharing economy reaches directly
into this vast and largely untapped stored value that consumers now control by
helping them make much better use of what they have.
The implications of all this in terms
of efficiency, reuse, environmental impact, productivity, value creation, and
other important economic, social, and civic factors are potentially enormous.
The corollary, however, may be that there is much less room in the economy for
traditional businesses which tend to be much less resource-rich, innovative, or
cost effective by comparison. In short, they may simply not compete strongly in
the collaborative economy, because of a much more labor and resource-intensive
legacy approach to meeting market needs.
Much has been made over the extremely rapid
change in today's technological landscape,
and how slowly companies are adapting to it. For example, well-known data shows
that the average
lifespan of an S&P 500 company has
plummeted from 75 years in 1937 to just 15 years today, and has continued to
drop steadily. Part of this is an indictment of how poorly companies have been
absorbing new technology in a way that is fundamentally useful to the future of
their business. The other obstacle to change is the sheer residual value of
following the dying path they are on. In other words, the Innovator's
Dilemma for the digital era.
As John Hagel and John Seely Brown were
recently quoted in the Wall Street Journal,
there are two overarching trends that are pressuring businesses in the digital
age where location doesn't matter and market share is a relentlessly zero sum
game of who has the biggest ecosystem:
There
are two dominant narratives about the institutional changes we are experiencing
and neither one of them gives anyone much respite: The first is that companies
will fragment to smaller and smaller entities and even down to individual
providers; the second is a winner take all world where only the largest
survive. We believe that both of these narratives are too simplistic. We see a
world where both of these narratives co-exist and are mutually reinforcing
rather than conflicting. Scale and fragmentation interact in a symbiotic
relationship where the growth of each is what drives the growth of the other.
What are corporations to do in response?
While the track record of companies in
making the transition to the world of social business has been a checkered one,
I've long identified incremental
success stories here. In speaking with Owyang
about the emergence and threat of the Collaborative Economy to the industrial
age generation of companies, I have challenged him on what the prescription is
to successfully transform. Unfortunately, though he too believes it can be done
by some, but not by all, the road ahead is as varied as the company and
industry. But looking at the few success stories there are (and there are
some), these key points stand out as the corporate mindset needed to transition
successfully to social business:
·
Don't compete with your customers, cooperate with them.
Easier said that done in terms of corporate culture, but when Collaborative
Economy startups are pitting millions of your own customers against you,
there's no reason that companies can't decide to play the exact same economic
card, at least while there's still some time.
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Design for change, give up non-essential control, and learn the power laws of
networks.
Networked social businesses focus on cultivating
communities, fostering co-creation, and optimizing shared value, wherever
it lies, instead of just creating and selling things. These are also the core
skills of Collaborative Economy startups.
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Rethink the structure and processes of your organization to
transition gently but swiftly to a social business.
How organizations are resources and operate dynamically is very different in
the social economy, learn the rules and way forward.
Naturally, this is just a high-level
set of factors for changing with the economic times and facing fast-moving new
competitors using a very new rule set. The reality will likely be grittier,
more challenging, and surprising to the typical classical industrial age
business.
Yet, the greater the changes taking
place in the marketplace, then the greater the opportunity. The message here is
that it's probably later for your industry than you think. Most businesses will
have to learn innovative and effective ways to adapt to the Collaborative
Economy in order to survive and thrive, even in the medium term. Fom a customer
and corporate perspective both, that may not at all be a bad thing.
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Pew:
47% of US Facebook users, or about 30% of all Americans, get news from the
social network
Given that
Facebook is the world’s largest social network with over 1.15 billion
users, it’s no surprise that many turn to the platform for
news. In the US, about half of adult Facebook users, or 47 percent, get news
from the social network.
Facebook has
over 128 million monthly active users in the US and more than 101 million daily
active users in its home country. Extrapolating the previous figure, about 30
percent of the US population gets news from the social network.
These latest figures come
from a survey conducted August 21 to September 2 by the Pew Research Center in
collaboration with the John S. and James L. Knight Foundation. A “nationally
representative sample” of adults 18 years of age or older was used, according
to Pew: 5,173 respondents, 3,268 of whom are Facebook users, of which 1,429 are
Facebook news consumers.
Yet all this
begs the question, how did Pew pick out Facebook news consumers? News was
defined as “information about events and issues that involve more than just
your friends or family” and Facebook news consumers were defined as those who
answered that they “ever get news or news headlines on Facebook.”
All that being
said, Pew found most US adults do not go to Facebook seeking news out. In fact,
as you can see in the chart above, the vast majority of Facebook news consumers
(78 percent) get news when they are on Facebook for other reasons. Furthermore,
Just 4 percent say it is the most important way they get news.
In other words,
Facebook is big enough now that it can be used to share news to users who don’t
actually go out and seek it. In fact, while only 38 percent of heavy news
followers who get news on Facebook say the site is an important way they get
news, that figure rises to 47 percent among those who follow the news less
often.
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