Your board asked why activation is down. Your team spent three days and guessed.

You have analytics tools. You have dashboards. You don't have answers. Every product decision is an argument settled by whoever's loudest — because the data isn't clean enough to settle it.

10 days · $3,497 · Money-back guarantee

Get the 10-Day Audit → Watch the breakdown ↓

For B2B SaaS companies at $5M–$30M ARR

THE 3-MINUTE BREAKDOWN

Jake McMahon walks through why most SaaS analytics setups break down — and the 10-day fix.

One company tracked 47 events. 3 answered a question anyone cared about.

The other 44 were broken, duplicated, or tracking actions nobody used for decisions. Their team filed data requests, waited days, and shipped without the answer.

Another company's activation metric was 'logged in.' 80% of churned users had 'activated.'

Real activation was buried 3 steps deeper. But nobody knew because tracking stopped at step 3. The metric was meaningless — and every decision made from it was wrong.

The cost isn't the analytics tool. It's every decision you're making without data.

At one e-commerce SaaS, $2.5M in revenue opportunity was sitting in 3 measurement gaps. Their activation funnel had coverage on the first 3 steps and nothing after. The money was there. The analytics couldn't see it.

THIS IS YOU

4 signs your analytics aren't helping you make decisions.

Your PM filed a data request last Tuesday. It's still in the queue.

PMs without SQL can't self-serve. PMs with SQL don't trust the data. The data team is buried in tickets with no time for actual analysis.

Product roadmap is decided by whoever argues loudest.

Without clean data to settle debates, the VP of Sales says 'our biggest prospect needs Feature X.' 3 sprints later, that prospect didn't close — and the team lost 6 weeks of planned work.

Activation is defined as 'logged in.' Most churned users 'activated.'

The metric is meaningless. Real activation is buried several steps deeper. But nobody knows because tracking stops early.

You changed which metrics you show the board. Again.

Changing reported metrics signals you're either still figuring out your business model or trying to obscure underperformance. Your board notices both.

The tool works. The setup doesn't.

You're paying for an analytics platform. Your engineers set it up. But the dashboards don't answer the questions your team actually argues about — so decisions run on opinion, engineering fields ad-hoc data requests, and every sprint starts with 'I think' instead of 'the data shows.'

Every sprint

Decisions made without the data that's already there

Ad-hoc

How your team answers data questions — Slack messages to engineering instead of dashboards

Week 1

The last time anyone updated the dashboards your team built during setup

THE SHIFT

From flying blind to every question answered.

	BEFORE	AFTER 10 DAYS
Data requests	PM files ticket, waits days	Self-serve dashboards — your team answers questions without engineering
Product decisions	Loudest voice wins	Evidence-first — data settles the debate
Activation metric	'Logged in' — meaningless	Real activation defined, tracked, segmented by cohort
Event tracking	Events firing, no naming convention	Every event mapped to a business question
Board meetings	Weekend building the deck from 5 tools	Metrics live, board-ready, updated automatically
Feature ROI	Ship and hope	Every release measured against retention, activation, expansion

THE PROCESS

3 steps. 10 days. Your team answers their own questions.

DAYS 1–2 · STACK ASSESSMENT

We get read-only access to your analytics platform. Review every event, every dashboard, every integration. Map what's working, what's broken, and what's missing.

Stack Assessment — so your team knows exactly where to focus

DAYS 3–7 · EVENT AUDIT + GAP ANALYSIS

Every event reviewed — which are useful, which are broken, which critical actions have zero tracking. The valuable part: the biggest measurement gaps, each connected to a decision your team can't currently make.

Event Audit — so your team can prioritize fixes by impactGap Analysis — so your team sees the revenue sitting in blind spots

DAYS 8–10 · FIX ROADMAP + WALKTHROUGH

For each gap: exact event names, properties, dashboard specifications, and implementation steps. Prioritized by business impact vs. engineering effort. 60-minute walkthrough — we answer questions and help your team plan the first fixes.

Implementation Roadmap — so your engineers know exactly what to build next60-min Walkthrough + Recording

Read-only access. NDA available. Nothing exported.

Read-only access only.

We review your analytics platform through a read-only viewer account. No write access. No codebase access.

NDA before we start.

Standard mutual NDA signed before any access is granted. Your data, your terms.

Nothing stored or exported.

We work inside your platform. No screenshots, no data exports, no local copies. The audit deliverables reference your data — they don't contain it.

Access revoked after delivery.

Once the walkthrough is complete, remove our access. The deliverables are yours to keep.

Your team could do this. They haven't.

Not because they're not good enough — because they're inside the system. Your analysts built the tracking. They can't see what's broken because they've been working around it for months.

An outside review catches the patterns your team has normalized. We've reviewed analytics setups at B2B SaaS companies across healthcare, e-commerce, fintech, and dev tools. The same problems appear repeatedly — broken event naming, activation metrics that don't predict retention, dashboards that answered week-1 questions and haven't been updated since.

This takes us 10 days. It would take your team 6–8 weeks between shipping features, because they'd be rebuilding the thing they built — without the benefit of seeing how other companies solved the same problems.

[Jake photo placeholder]

Jake McMahon.

Product analytics for B2B SaaS. Background in behavioural psychology and big data analytics. I've designed event taxonomies, built churn prediction queries, connected Stripe revenue data to product usage, and shipped production dashboards that teams actually open.

Most recent project: redesigned the analytics system for a healthcare SaaS. They had 47 dashboards — most untouched since setup. We consolidated to 12 that sprint planning runs on every Monday. CS now gets a weekly at-risk list instead of finding out when customers cancel.

B2B SaaS
focus

PostHog / Amplitude / Mixpanel
audited

HogQL
native

THE WORK

What happened when the data started answering questions.

B2B HEALTHCARE SAAS

BEFORE

47 dashboards — most untouched since setup
Events tracked button clicks, not outcomes
No activation event defined
Sprint planning ran on opinion

AFTER

12 dashboards — opened daily by product and CS
Every event tied to a business question
Churn predicted — CS gets a weekly at-risk list
Monday standup runs on 3 screens

47 → 12

dashboards consolidated

Daily

dashboard usage after rebuild

4 weeks

from audit to live system

If we can't find at least 5 specific, prioritized fixes — you pay nothing.

Each recommendation comes with the exact events to add, the dashboard to build, and the implementation steps your engineers need. If we can't find 5 that are worth your time, full refund.

Get the 10-Day Audit — $3,497 →

Questions.

Or book a 15-minute call →

What access do you need?+

Read-only access to your analytics platform (Amplitude, Mixpanel, PostHog, or Segment). No codebase access. No engineering time required during the audit. We review what you already have.

What if our analytics are really bad?+

That's usually when the audit is most valuable. The worse the setup, the bigger the gaps, the more opportunity sitting in blind spots.

Our team could do this internally. Why hire you?+

Your team built the current setup — they've been working around its gaps for months. An outside review catches the patterns they've normalized. We've also seen how other companies at your stage solved the same problems, which gives us a reference point your internal team doesn't have. The audit gives them a prioritized roadmap so they can stop firefighting and start building.

What happens after the audit?+

You get a prioritized roadmap your engineering team can follow. Most teams implement the top fixes themselves within 2–4 weeks. If you want us to implement everything — rebuild the event taxonomy, ship the dashboards, set up experimentation — that's a separate engagement. We'll tell you what it involves and what it costs during the walkthrough. No pressure either way.

Does this work for Amplitude / Mixpanel / PostHog / Segment?+

Yes. We've audited all 4 platforms and hybrids. The problems are almost always the same — broken events, missing coverage, dashboards nobody uses — regardless of which tool you're on.

Can I talk to someone before committing?+

Yes. Book a 15-minute intro call. We can discuss your setup, answer questions, and decide together whether the audit makes sense. No access required until you're ready.