SaaS · Funnel & CRO
Most stalled SaaS growth isn't a traffic problem — it's a leaky funnel and blind attribution. Fix where qualified users fall out and feed clean signal back into acquisition, and the demand you already generate starts converting.
Same order every time — each step depends on the one before it.
Visit → signup → activation → paid. I map the drop at each stage and rank by revenue impact, because fixing the biggest leak beats buying more top-of-funnel every time.
If you can't tell which channel produces revenue — not just signups — every budget decision is a guess. End-to-end tracking comes before any spend change.
The faster a new user hits the 'aha,' the higher trial-to-paid runs. I audit onboarding for the shortest path to first value.
The levers that consistently move these accounts, roughly in order of impact.
One high-impact conversion point at a time, prioritized by revenue. Compounding wins beat a scattershot redesign that changes everything and proves nothing.
Rebuild campaigns around users who look like paying customers, not raw signup count. Fit at the top makes every downstream stage convert better.
Landing pages, onboarding, and in-product prompts aligned to the value that converts trials — so the funnel sells the same story end to end.
Wire tracking so budget flows to channels producing revenue, not leads. The single change behind most 'sudden' SaaS growth is finally seeing what works.
Nurture that moves trials to paid and paid to expansion — the cheapest revenue in SaaS is the customer you already have.
Three accounts, three different problems — same framework.
Growth unlock
Inherited: Growth had plateaued — acquisition wasn't producing enough qualified signups and the funnel leaked between first touch and paid conversion.
Done: Audited the full funnel and fixed the highest-impact leaks first, rebuilt acquisition around high-fit users, tightened trial messaging, and instrumented attribution end to end.
250%
Revenue growth
1 quarter
Time to result
Same traffic
Mostly funnel fixes
Attribution fix
Inherited: Spend spread across channels judged on signups, not revenue.
Done: End-to-end attribution revealed which channels produced paying customers; budget followed the revenue.
−31%
Blended CAC
Clear
Revenue by channel
Reallocated
To what converts
Activation
Inherited: Trials signing up and never activating.
Done: Shortened the path to first value in onboarding and added lifecycle nudges to the aha moment.
+40%
Trial-to-paid
Faster
Time to first value
Onboarding
Rebuilt around value
Figures are representative of the collision vertical, drawn from account reporting; client identities are withheld.
Lead counts are a means. This is the chain I report on — and why the channel works.
A six-point lift in trial-to-paid on the same traffic is worth more than a large increase in ad spend — and it compounds every month. That's why the funnel is the first place I look, not the last.
| Benchmark | Typical range |
|---|---|
| Visitor → signup | 2 – 5% |
| Trial → paid | 10 – 25% |
| Free → paid (PLG) | 2 – 5% |
| CAC payback | 5 – 12 mo |
If bays are empty while the phone rings, the leak is measurable — and fixable.