I deconstruct your full user journey — from first ad impression to product activation and retention — and fix every checkpoint where you're losing people. Acquisition. Activation. Retention. All of it.
Your full funnel — every stage is a potential leak
Sound familiar?
You've scaled paid spend, improved content, and pushed SEO. Visitors are coming. But conversion from visit to trial isn't moving. The problem isn't awareness — it's the five friction points between your ad and your signup button that nobody's mapped.
Activation is your real conversion problem. Users create an account, see the dashboard, get confused about what to do next, and leave. You see the 30-day retention curve. You can't see why it bends where it does.
Week 2 or week 4 — it's predictable, which means it's fixable. The pattern tells you where the aha moment isn't happening. Without behavioral data layered over that cohort view, you're running onboarding experiments in the dark.
GA4 tells you about traffic. Mixpanel tells you about feature usage. Neither tells you why users aren't converting, what's causing your activation gap, or which churned users left before touching your core feature. You have data. You don't have insight.
Most SaaS onboarding flows are designed by engineers to expose functionality. They're not designed to guide someone from confused newcomer to confident power user. The difference shows directly in your activation rate and time-to-value.
The most expensive place to lose a potential customer is after they've clicked your ad and landed on your site. Improving conversion at the bottom of your funnel is almost always higher ROI than improving CTR at the top. Most teams have it backwards.
Most SaaS teams invest in acquisition while activation and retention bleed users out the other side. Fixing the bottom of your funnel almost always beats scaling the top. The math is simple — the measurement isn't. That's where I come in.
The baseline problem
These are patterns I see in nearly every SaaS funnel audit — not edge cases.
Most free trials end not because users decided to leave — but because they never found a reason to stay. They hit the product, got confused, and quietly churned. You counted them as signups. They were always leads.
The majority of users who sign up never complete the first meaningful action in your product. Every incomplete onboarding is a user you paid to acquire who never had a chance to become retained.
Improving your activation rate by even 10% can outperform doubling your paid acquisition budget in terms of revenue impact. The teams winning in SaaS right now are obsessing over activation, not ad spend.
Where I focus
I work across the full AARRR funnel — from the first ad to retained power users. Each stage gets the same depth of analysis and the same rigor of execution.
Map and fix every friction point between your paid traffic and your signup confirmation. Most SaaS teams improve CTR when they should be improving what happens after the click.
Find exactly where users get confused, stall, and leave. Map the path your best users take to activation — then rebuild your onboarding to guide everyone there faster.
Your retention curve tells a story. I translate it into specific user behaviors, churn triggers, and feature adoption gaps — then build the roadmap to fix each one systematically.
You can't fix what you can't see. I build the analytics infrastructure that gives your team a live view of every AARRR stage — not pageview counts, but the metrics that actually drive growth decisions.
How it works
Three phases, each building on the last. Every recommendation tied to a specific metric and a specific friction point — not a generic best practices list.
Full user journey audit — from the first touchpoint to feature adoption. Every checkpoint documented, every friction point flagged, every instrumentation gap identified. You get a complete picture of what your funnel actually looks like, not what you think it looks like.
Behavioral analysis, cohort diagnostics, and funnel modeling. I show you exactly where users drop off, which fixes will move your activation and retention metrics most, and the order to tackle them in — tied to revenue impact, not gut feel.
Prioritized CRO roadmap execution, tracking implementation, and ongoing measurement. Every change tracked against your activation and retention metrics. Monthly review to assess what's working and reprioritize based on the data, not assumptions.
Why me, not a generic analytics agency
A generic web analytics agency tracks pageviews. I track the specific user journey events that predict whether someone becomes a retained, paying customer.
| Generic Analytics Agency | Working with Hichem | |
|---|---|---|
| Funnel scope | ✗Website only — traffic, sessions, bounce rate | ✓Full AARRR — ads through retention and revenue |
| Product context | ✗No understanding of SaaS activation or onboarding | ✓Built around SaaS growth mechanics — aha moment, activation, churn |
| Instrumentation | ✗Standard GA4 setup — pageviews and session data | ✓Custom event taxonomy tied to your user journey milestones |
| Retention focus | ✗Not in scope — acquisition and traffic only | ✓Cohort analysis, churn triggers, feature adoption mapping |
| CRO approach | ✗Landing page best practices — generic, not SaaS-specific | ✓Onboarding flow, signup form, and activation journey optimization |
| Reporting | ✗Sessions, pageviews, CTR — vanity metrics | ✓Activation rate, time-to-value, retention by cohort, MRR impact |
| Access | ✗Account manager + 48–72hr response window | ✓Direct access, async-first, transparent on every decision |
★★★★★ Rated 4.8/5 from 26+ clients
Let's talk
Book a free 30-minute journey audit call. I'll review your current funnel, identify your biggest acquisition and activation gaps, and show you where to start — no pitch, no retainer required.
30 minutes. No agency pitch. Just an honest map of where your funnel breaks.