Behavioral Intelligence vs. Traditional Analytics: Where the Gap Is Closing
Traditional analytics tells you what happened. Behavioral intelligence tells you why — and predicts what will happen next.
Deep-dives on product analytics, behavioral intelligence, and building for growth-stage SaaS.
Traditional analytics tells you what happened. Behavioral intelligence tells you why — and predicts what will happen next.
Most instrumentation bugs are schema bugs in disguise. This is the step-by-step guide we give to every new Prodlytix customer.
PLG is a go-to-market motion, not just a signup flow. The analytics discipline behind a successful PLG strategy is distinct from traditional SaaS metrics.
The aha moment isn't a feeling — it's an event sequence. Here's how Prodlytix's auto-discovery engine identifies the specific behavioral path that predicts long-term retention.
Every team thinks they have a north star metric. Most have a revenue metric. There's a meaningful difference — and the gap shows up in how you build your product.
Time-to-value is not the same as time-to-activation. The distinction matters enormously for onboarding design.
When 40% of users drop off at step 3, there are exactly four root causes worth investigating.
Your event schema is a contract with your future self. Here's what we've learned from the most common instrumentation mistakes.
Slicing users by plan tier or geography is useful. Slicing them by what they actually did in your product gets you much closer to the truth.
Retention curves tell you what's happening. Behavioral sequences tell you why.
You shouldn't need to be a data engineer to understand why users churn.
The ML pipeline behind Prodlytix's auto-discovery engine — and the three dead ends we hit before we got it right.
We analyzed activation funnels across dozens of B2B SaaS products. The difference between top-quartile and median activation rates is almost always a single event sequence.