What separates a top-quartile self-serve funnel from an average one, stage by stage?
The gap is almost never at the top. Average and excellent companies convert visitors to signups within a couple of points of each other, but the great ones activate at roughly double the rate and it compounds through every stage after. On free to paid, a strong free trial funnel lands near the mid-teens while freemium sits in single digits, so comparing yourself to the wrong model will make a healthy business look broken. The other quiet separator is net revenue retention, because top-quartile PLG companies grow meaningfully from existing accounts expanding on their own, which means their pricing is tied to something that grows with the customer. If you benchmark one thing, benchmark activation, because it is both the largest gap and the most fixable.
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Poyar replaces the sales funnel with a five stage new user journey (discover, start, activate, convert, scale) and attaches benchmark ranges to each. It is how you find out which stage is actually broken.
Benchmarks from 500 plus products: 34 percent average, 36 percent for SaaS. If you have ever wondered whether your number is bad or normal, this is the answer, and it is free.
It settles the freemium versus trial argument with numbers from 150 plus companies rather than opinion: freemium brings 33 percent more signups but converts at half the rate. That trade-off is the whole decision.
A short, specific list of what to instrument on a self-serve funnel, including time to activation and time to convert, which are the two most people forget to track at all.
Poyar walks the benchmark spread stage by stage and, more usefully, explains where the median and the top quartile actually diverge. That is the whole question here, and hearing him narrate the data beats reading the percentile table cold.
