The problem isn't your product. It's step 4.

$28-32K/month lost at one onboarding step · Fixable in 2 weeks · $4,997

Somewhere between signup and 'aha moment,' you're losing 40-70% of people who were interested enough to try. Your team thinks the product is too complex. The real problem is specific - and every fix so far has been a guess.

Root cause in 10 days · Fix live in 2 weeks · Money-back guarantee

Find the Drop-Off → Watch the breakdown ↓

Built for CPOs & growth leads at $3M-$80M ARR B2B SaaS

3 minutes · No opt-in required

87% of users at one company never found the feature that drives 1.8x higher retention.

The feature existed. The discovery path didn't. Nobody on the team even knew the number - because analytics didn't cover it.

Your onboarding has 5 touchpoint layers: in-app flow, email sequence, empty states, help docs, CS triggers.

They're almost certainly contradicting each other. The welcome email arrives 6 hours late. The tour pushes the wrong feature. Day 7 email assumes activation that 70% haven't completed.

One B2B SaaS was losing $28-32K/month from a single onboarding step.

Half the users were blocked by an API prerequisite they didn't have credentials for. Not disengaged - stuck. The team would have spent months on 'simplification.' The actual fix took 4 days.

THIS IS YOUR FUNNEL

Five signs your activation is bleeding money.

You have analytics coverage on steps 1-3. After that, nothing.

Most teams instrument the beginning of onboarding and stop. The drop-off is in the steps nobody's watching.

Your activation metric is 'logged in.'

80% of churned users 'activated' by this definition. The real activation event is buried 3 steps deeper and nobody's tracking it.

Every user type gets the same onboarding.

Solo users, mid-market teams, and enterprise accounts all see the same flow. What works for solo practitioners actively breaks enterprise onboarding. Enterprise users churn at 3x the rate.

Your Day 7 email assumes activation that hasn't happened.

'Now that you've set up your dashboard...' But only 30% have. The other 70% get an email that confirms: this product isn't for me.

Your team's hypothesis: 'product is too complex.'

That diagnosis leads to an expensive, months-long simplification project. The real cause is usually something specific: a prerequisite step, a missing discovery path, a sequencing problem.

What the bleed actually costs.

Step 4

where users hit a wall nobody was watching

An API prerequisite blocked half the users who reached it. Not disengaged - stuck. The cost was invisible because analytics didn't cover anything past step 3.

87%

of users never found the highest-value feature

The feature existed. The discovery path didn't. The expansion revenue from that one feature was worth more than the entire paid acquisition budget.

enterprise churn rate when forced through solo-practitioner onboarding

Three user types. One flow. The product team blamed product-market fit. It was a sequencing problem.

What changes in 2 weeks.

	TODAY	AFTER 2 WEEKS
Funnel visibility	Steps 1-3 instrumented. Then nothing.	Full funnel by step, cohort, segment, acquisition source
Activation definition	'Logged in' (80% of churners 'activated')	Real activation event, tied to retention and expansion
Drop-off cost	Unknown - you know it's bad, not how much it costs	Revenue impact quantified per step, per segment
Root cause	'Product is too complex'	Specific: step 4 prerequisite / missing discovery / wrong email timing
User segmentation	Everyone gets the same flow	Distinct paths per user type (solo, mid-market, enterprise)
Time to fix	6-month simplification project	4-day engineering implementation (after 10-day analysis)

THE PROCESS

10 days to root cause. 2 more weeks to live fix.

DAYS 1-4 · FUNNEL RECONSTRUCTION

We reconstruct your full activation funnel from raw event data. Every step measured by drop-off rate, segmented by user type, cohort, plan, and acquisition source. Where does your funnel actually break - and for whom?

DAYS 5-8 · ECOSYSTEM AUDIT

All 5 onboarding layers reviewed: in-app flow, email sequence, empty states, help docs, CS triggers. We map where they contradict each other, where timing is off, and where the discovery path to your highest-value feature is missing.

DAYS 9-10 · ROOT CAUSE + FIX SPEC

Specific diagnosis with revenue impact. Engineering spec for the fix. Prioritized by impact vs. effort.

WHY WE FIND WHAT YOUR TEAM MISSED

Your team is too close. The answer is in data they've never seen.

ProductQuant rebuilds activation funnels from raw event data - not from in-app tour analytics. We look at every touchpoint layer simultaneously: what the product shows, what the emails say, what the docs explain, and where they contradict each other.

The reason internal teams miss the root cause: they optimize the layer they own. Product optimizes the tour. Marketing optimizes the emails. Nobody optimizes the ecosystem - because it crosses team boundaries. That's exactly why it's broken.

We've found five-figure monthly leaks hiding in single onboarding steps. We've tripled feature discovery rates. We've eliminated half the dropout at a single step. Not by redesigning the product - by fixing the specific thing that blocks the specific user at the specific moment.

50%

dropout eliminated at single step

10 days

to root cause

onboarding layers audited

THE WORK

Specific results from specific engagements.

ACTIVATION SPRINT

50%

dropout eliminated

18% → 31%

activation rate

2 weeks

end-to-end

E-COMMERCE SAAS

40+

missing events found

13% → 40%+

feature discovery rate

1.8x

retention multiplier

$2.5M

opportunity identified

If we can't find meaningful activation gaps, full refund.

We've audited activation funnels at dozens of B2B SaaS companies. Every single one had gaps worth more than the engagement fee. But if we don't find them - you pay nothing.

Find the Drop-Off - $4,997 →

Questions.

Or book a call →

What access do you need?+

Read-only analytics access + event logs. If your tracking is sparse, we reconstruct what we can from database queries and session data. We scope this in a 30-minute call before you pay.

Our analytics are really bad - will this still work?+

Yes. Bad analytics is where the biggest gaps hide. One company had coverage on 3 steps and nothing after. That's where $2.5M was hiding.

Do we need to fix our analytics first?+

We work with what you have. If the audit reveals tracking gaps (it usually does), the fix spec includes the events needed.

What if the fix is bigger than a 4-day engineering change?+

The report sizes every issue by impact vs. effort. Some fixes are 4 days. Some require a multi-sprint effort. You get the full prioritized roadmap either way.

What's the investment?+

$4,997 for the Activation Deep Dive. 10-day delivery. Money-back guarantee. Most expensive thing we've found so far: $32K/month from one step. The audit has paid for itself every time.