This is an intersection of technical chops with marketing – as defined in Andrew Chen’s post.
By Romy Misra (Director of Analytics, Visual.ly)
There has been considerable debate off late of the Growth Hacker being the new VP of marketing, kicked off by this Andrew Chen blog post. It looks like it’s on it’s way to be the the next big thing after the “data scientist”.
Data Scientists took off a few years ago. The current state is that most companies, including a lot of startups, are hiring data scientists with little knowledge of what to do with them. I’ve had companies admitting they don’t know why they’re collecting the data but they are. Everyone is collecting data. Everyone wants
Marketing in Silicon Valley requires a scientific approach.
By Julie Zhou (Growthmaster, Hipmunk)
Math was my favorite subject in high school. After college, I was primed for the well-trodden path to investment banking where I could play with numbers all day. Instead, when Google came calling in search of marketers, my career took an unexpected turn.
Marketing? The department first to get budget cuts in tough times? Why was a company that had grown into a global powerhouse by living and breathing data hiring marketers?
Years later, I had learned that marketing was unmistakably a science – it was the science of discovering what people loved
By Laura Klein (Principal, Users Know)
The other day, I posted something I strongly believe on Twitter. A few people disagreed. I’d like to address the arguments, and I’d love to hear feedback and counter-arguments in the comments where you have more than 140 characters to tell me I’m wrong.
My original tweet was, “I don’t trust designers who don’t want their designs a/b tested. They’re not interested in knowing if they were wrong.”
Here are some of the real responses that I got
By Ellen Beldner (Director of User Experience, Groupon)
A/B testing is useful, important and a valuable part of the software production process. Note that I didn’t say part of the “design” process.
You can use A/B testing to compare two radically different versions of an idea or to optimize within a single design. A/B testing can move the needle a bit, and it can serve as a cover-your-ass sanity check before launching something. But it alone won’t get you to an entirely new zone of user adoption, happiness, or conversion rates. Unless you’re a design thinker and understand why