Advertising and content have always been bound together - in print, on television, and on the web. Sure, you can skip the ad - just flip the page, or press 'ffwd' on your DVR. But great advertising, as I've long argued, adds value to the content ecosystem, and has as much a right to be in the conversation as does the publisher and the consumer.
The 'old' Internet is shrinking and being replaced by walled gardens over which Google's crawlers can't climb. Sure, Google can crawl Facebook's 'public pages,' but those represent a tiny fraction of the 'pages' on Faceboo, and are not informed by the crucial signals of identity and relationship which give those pages meaning.
'Dependent web' platforms such as Twitter, Facebook, Google and Yahoo are where people go to discover and share new content. Independent sites are the millions of blogs, community and service sites where passionate individuals 'hang out' with like-minded folks. This is where shared content is often created.
We speak of 'software eating the world,' 'the Internet of Things,' and we massify 'data' by declaring it 'Big.' But these concepts remain for the most part abstract. It's hard for many of us to grasp the impact of digital technology on the 'real world' of things like rocks, homes, cars, and trees. We lack a metaphor that hits home.
Facebook's data trove is enviable, and its moves into nearly every aspect of our lives - from payment to media, will create even more of it. The company also has created a huge base of developers for its platform, but the ecosystem is incomplete compared to vertically integrated OSes like iOS, Mac or Windows.
I started my career as a liberal arts major from Berkeley, wrote about enterprise IT for a few years, then followed my passion for the digital narrative into graduate school as well (also at Berkeley, the Oxford of the West or, perhaps, the Harvard - sorry Stanford!). My first project out of grad school was 'Wired' magazine.
Marketing is your battle plan for the sales team - it's about defining the landscape. Marketing is doing cohort analysis and understanding exactly what possible customers are out there. It's understanding not only which customers will respond to what messages, but also how customers will become clients if you include certain product features.
Inasmuch as there is a useful purpose to what we do as VCs, I tend to think it's our duty not only to mentor entrepreneurs and executive teams, but also to learn from them and the others involved. We can then pass on lessons to aid the startup ecosystem and help businesses succeed and grow their impact.
A recipe I've seen work in early-stage startups is a small tight-knit group of passionate people who are obsessed with their vision of how to fix a particular industry. Conversely, teams composed of people with a lot of specialized experience at running a large business are not as likely to do very well in the first year or two of a startup.