Is there a minimum database size, web site traffic and lead activity for predictive content to provide relevant information ?
Stephen Susina might have some insights here
Generally, predictive marketing is based on opportunities and accounts more so than leads and activities. We used Everstring, and they built a model that was largely built on our closed-won deal data, late stage opportunity data (finalist stage, legal review) coupled with their proprietary database of external intent signals.
They recommended we provide 200 opportunities from the previous two years on which to base our model. There is an assumption that the 200 opportunities represented a significant diversity of accounts. We didn't quite have a one-to-one opportunity-to-account ratio in our mix, but our model was based on 200+ opportunities representing more than 150 different accounts.
The model they built for us was ~85% accurate in the trial period, and 92% accurate in the first full year. In other words, 85% of our closed won business (based on revenue) during the trial period was from an account rated A or B, and 92% of our revenue in the first full year was from an A or B rated account.
There's another use case where they can build a model using a seed list of accounts (they recommend at least 100) external to your current database. Say you're launching a new product--you don't have any closed/won data to use as the base for your model, but you've identified a target list of prospects--maybe a customer list of a competing product. .
Thx a lot Steve!
What about Marketo predictive content feature?
Ohhhh.. This was my fault for highlighting Steve here (although they were some great insights on predictive, Steve!)
Marketo's predictive content is another one of those mysterious, proprietary beasts to me. When I used RTP it had some of the same elements of predictive, though probably more rudimentary. Unfortunately we didn't have much success with it because there were no insights into how well it was performing -- just total clicks, not number of impressions we were seeing (Impressions of Recommendation Bar )
Not a fault, Steve's elements are very useful
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