To some extent, companies might be trying to use too much data? Who knows.
Life Time Value capture in the analytics space is sufficiently difficult. Let's say you're an analytics customer:
Early stage customer: Use any one of the 100 integrations analytics companies listed on segment.com's website. You DO NOT need to track hundreds of parameters. Conversations with customers have 100x the value of tracking the small things at this stage....usually.
Mid-Stage Customer: Maybe you choose one of the 100 companies that makes the most sense. You start paying for it.
Having these early and midstage companies as customers is tough. The vast majority of them fail.
Big Customer: SnowPlow Analytics? Splunk? Tableau?
That being said, I think there's businesses to be built, but only semblances of unicorns and minotaurs.
15,000 web and mobile apps are coming out tomorrow. What % of them are analytics related applications? (Hint: A larger one than you might think). Just have a gander at the applications that are listed on promotehour.com and startuplister.com's list of app launch sites. There's now 100+ launch sites.
To win big in VC money, you have to take risks, the analytics space seems well established with a slew of best practices that are extremely well known. Ie. not risky enough to warrant pouring VC-istan money into.
Software eats the world and the education system. It's becoming increasingly easy to find developers. https://gh-prod-ruby-images.s3.amazonaws.com/uploads/image/f...
To some extent, companies might be trying to use too much data? Who knows.
Life Time Value capture in the analytics space is sufficiently difficult. Let's say you're an analytics customer:
Early stage customer: Use any one of the 100 integrations analytics companies listed on segment.com's website. You DO NOT need to track hundreds of parameters. Conversations with customers have 100x the value of tracking the small things at this stage....usually.
Mid-Stage Customer: Maybe you choose one of the 100 companies that makes the most sense. You start paying for it.
Having these early and midstage companies as customers is tough. The vast majority of them fail.
Big Customer: SnowPlow Analytics? Splunk? Tableau?
That being said, I think there's businesses to be built, but only semblances of unicorns and minotaurs.
15,000 web and mobile apps are coming out tomorrow. What % of them are analytics related applications? (Hint: A larger one than you might think). Just have a gander at the applications that are listed on promotehour.com and startuplister.com's list of app launch sites. There's now 100+ launch sites.
To win big in VC money, you have to take risks, the analytics space seems well established with a slew of best practices that are extremely well known. Ie. not risky enough to warrant pouring VC-istan money into.