POSTHOG POWER-UP — DECISION-READY ANALYTICS

Jake McMahon — ProductQuant

8+ years B2B SaaS · Behavioural Psychology + Big Data (Masters)

Your PostHog tracks everything. It should tell you what actually matters.

Your engineers set up PostHog for deployment coverage — every button, every page view. Coverage isn’t strategy. To get value, you need to track 30–50 strategic events, not 300 generic ones. Every event should answer a question the team argues about in sprint planning — so those arguments end with data.

Start Your Power-Up → Free Health Check first ↓

Read-only PostHog access only · Mutual NDA available · Delivered in 14 days

Works with PostHog

WHAT CHANGES IN 14 DAYS

Event Taxonomy From 300 button clicks to 50 events that answer real questions

6 Dashboards Sprint planning runs on screens, not opinions

HogQL Library 15 saved queries — one click, not a Slack message to engineering

Churn Signals Behavioral scoring — CS knows who’s drifting before they cancel

Experiments 2–3 A/B tests configured and running this week

Basic · Full · 14-day delivery

We build a clear PostHog dashboard that answers your team's questions.

You get a simple list of the 30-50 events that matter most. Your team stops guessing and starts making decisions with data.

PRODUCT TEAM

"Did our new checkout button actually increase sales?"

We build a 'Purchase Completed' event that tracks exactly that. Now you see the real impact of your design change, not just how many times the button was clicked.

MARKETING DIRECTOR

"Which blog post brings in the most sign-ups?"

We connect reading a specific article to a new user account. You can finally see which content is worth the budget and which isn't.

CEO REVIEW

The weekly report shows what moved the needle.

Instead of 300 confusing charts, you get one page with 3 key metrics. You instantly know if last week's work was successful.

ENGINEERING SPRINT

"Should we fix the search bar or build a new filter first?"

We track how many people use each feature. The data shows which problem affects more users, so the team knows what to build next.

YOUR POSTHOG INSTANCE IS TRACKING EVERYTHING AND ANSWERING NOTHING

PostHog is installed — nobody uses it

“We’re paying for PostHog. Events are firing. But when someone asks a product question, the answer comes from a spreadsheet or a Slack thread — not from PostHog. The tool exists. The system around it doesn’t.”

Head of Product — B2B SaaS

Funnels built on noisy data

“300 events, half of them auto-captured page views and generic button clicks. The funnels measure activity, not intent. We can’t tell whether users are activating or just clicking around.”

VP Engineering — Series A

Set up once, never revisited

“PostHog was configured during onboarding. Nobody’s touched the tracking plan since. The product has changed, the features have changed, the user journey has changed — the analytics haven’t. We’re measuring last year’s product.”

Product Manager — B2B SaaS

Data questions route through engineering

“Every time someone on the product team needs a number, they Slack an engineer. The engineer runs a query, sends a screenshot, and goes back to their sprint work. We lose engineering hours and still don’t have self-serve analytics.”

Engineering Lead — Growth stage

WHAT THIS TYPICALLY UNCOVERS

You have 300 events. Fewer than 30 predict retention, expansion, or churn.

Most of your events measure activity, not intent.

In our experience, teams tracking 200+ events typically have fewer than 30 that answer a question the business cares about. The rest are auto-captured page views and generic button clicks that make dashboards noisy and funnels unreliable.

Your dashboards answer week-one questions, not sprint-planning questions.

Dashboards built during PostHog setup reflect what mattered at launch — not what your team argues about now. The audit typically surfaces 3–4 dashboards that nobody has opened in weeks because the questions moved on.

Churn signals are in the data — nobody is watching for them.

Behavioral patterns that predict cancellation 30–60 days ahead typically exist in PostHog event data already. The gap is that nobody has written the HogQL query that surfaces them as a weekly at-risk list for CS.

Feature flags are configured for rollouts, not experiments.

PostHog’s experimentation infrastructure is built in and already available. Teams that use feature flags for safe rollouts are one step away from running real A/B tests — but without experiment design, sample size calculations, and guardrail metrics, the flag is just a deploy tool.

WHY THIS IS DIFFERENT

Your PostHog tracks page views and button clicks. It should be telling you which accounts are expanding and which are about to cancel.

“Set up tracking” is advice that assumes every event is worth measuring. It isn’t. The Power-Up starts by asking which questions your team argues about in sprint planning — then designs the taxonomy, dashboards, and queries that answer those questions. Events that don’t map to a decision get removed, not renamed.

Your PM gets dashboards they open every Monday. Your engineer gets the taxonomy spec to implement. Your CS lead gets a churn risk list they can act on before the cancellation email arrives. Each deliverable is formatted for the person who uses it — not for the person who commissioned it.

TIMELINE

From kickoff to live dashboards.

DAYS 1–6

Audit + Redesign + Build

Read-only PostHog access. Every current event reviewed. 30–50 strategic events specified. 6 production dashboards built. 10–15 saved HogQL queries configured.

→

DAYS 8–12

Experiments + Churn (Full tier)

2–3 A/B experiments configured. Cohort definitions for retention analysis. Churn risk scoring query. Session replay triage strategy.

→

DAY 14

Handoff + Walkthrough

Tracking implementation guide with code snippets. 60-min (Basic) or 90-min (Full) recorded session. Growth Opportunity Map delivered.

Day 14: Monday standup opens with a dashboard that answers last week’s biggest product question.

WHAT’S INCLUDED — BASIC

Your team makes product decisions from data, not gut.

NOTE: The price will be clearly shown in the pricing cards and deliverables context, so it doesn't need to be in the section H2.

Day 1–3 · Foundation

Event Taxonomy Redesign

Your team stops drowning in button-click data and starts measuring the outcomes that predict retention, expansion, and churn.

Every current event reviewed: keep, rename, merge, delete, or missing
30–50 strategic events replacing the ones you have
Naming conventions and property schemas for each event
Rationale: what business question each event cluster answers

Day 3–6 · Dashboards

6 Production Dashboards

One screen open in Monday standup, and your team knows exactly what happened last week — no ad-hoc queries, no “I think.”

Activation: where signups convert (or don’t) into active users
Feature adoption: which features retain vs. which are ignored
Retention: cohort-level retention by segment
Onboarding, engagement, and revenue — all on separate screens

Day 6–8 · Queries

HogQL Query Library (10–15 queries)

The 15 most common data questions your team asks — answered in one click, not a Slack message to engineering.

Saved queries built for your specific product and business model
Named by the question they answer, not the SQL they contain
Accessible to everyone — product, CS, engineering — without HogQL knowledge

Day 12–14 · Handoff

Tracking Implementation Guide + 60-min Strategy Walkthrough

Your engineers implement the new taxonomy in a single sprint. Your team understands not just what was built, but why each dashboard exists and what decisions it drives.

Engineers implement the right events on the first pass — no back-and-forth
The first 5 events you ship unlock the dashboards your team has been missing
60-minute recorded walkthrough — share with your whole team
Growth Opportunity Map: what we found beyond analytics

Full Tier Add-Ons — $7,997

Know who is churning before they do, and run real experiments to stop it.

Everything in Basic, plus the infrastructure to run experiments and surface churn risk — before your CS team has to react to it.

2–3 A/B Experiments Configured

Start testing this week — not “when we get around to setting up experimentation”

Cohort Definitions for Retention Analysis

See how different segments retain — not just “overall retention” which hides the real story

Churn Risk Scoring

Know which accounts are drifting toward cancellation 30–60 days early — so CS intervenes, not reacts

Session Replay Triage Strategy

Watch the 5% of recordings that reveal why users churn or never come back — instead of thousands of random sessions

Full tier also includes a 90-minute team training (recorded). Product, engineering, and CS all walk away knowing how to use the system — not just the person who commissioned it.

On cost of delay: every week your PostHog setup stays in deployment mode is a week where product decisions run on opinions instead of data. The analytics to fix it are already in your PostHog instance, unmeasured.

FIT CHECK

Your dashboards exist but nobody opens them weekly. That changes in 14 days.

GOOD FIT

3–18 months on PostHog — events firing, dashboards ignored

Head of Product or Engineering Lead owns analytics

The situation

You picked PostHog because it’s open-source and flexible. Your engineers set it up during deployment. Dashboards exist but nobody opens them weekly — because they answer the questions that mattered during setup, not the ones your team argues about in planning.

What changes

Dashboards your team actually opens replace the ones they ignore
Data questions take one click, not a Slack message to engineering
Sprint planning runs on numbers, not opinions

PostHog starts earning the decision you made to use it.

GOOD FIT

Migrating from Amplitude / Mixpanel — want to do it right

VP Product or CTO leads the migration decision

The situation

You’re moving off Amplitude or Mixpanel — cost, control, or both. The migration is the chance to redesign your tracking, not just re-implement the same event taxonomy in a different tool. The Power-Up ensures you land with a system that works, not a copy-paste of what you had.

What changes

New taxonomy designed before migration, not retrofitted after
PostHog configured for B2B account-level tracking (group analytics), not just individual users
Migration done once — not redone when the dashboards don’t answer the right questions

Migration lands with a system that answers your actual questions from day one.

NOT A FIT

Pre-product, no PostHog, or analytics isn’t the constraint

Wrong stage or wrong problem

When this doesn’t apply

If you haven’t shipped a product yet, there’s no PostHog data to work with. If you’re not on PostHog and don’t plan to be, the deliverables are tool-specific and won’t transfer. And if your team’s bottleneck isn’t analytics — if decisions are clear but execution is slow — better dashboards won’t fix the constraint.

Better starting points

PostHog Implementation

Full PostHog setup from scratch — taxonomy, dashboards, and instrumentation.

Analytics Audit

Platform-agnostic audit of your analytics stack and tracking quality.

Focused Sprint

Answer a specific product question with data in 5 days.

What the Power-Up doesn’t cover

The Power-Up delivers the analytics architecture — taxonomy, dashboards, queries, and experiment infrastructure. Your engineering team implements the new event taxonomy. If you need ongoing analytics support after the 14 days, that’s a different engagement.

Implementing the new event taxonomy in your codebase — your engineers ship the changes
Ongoing dashboard creation as your product evolves — the Power-Up builds the foundation
Continuous experiment design — the sprint configures initial experiments, your team runs them forward

For ongoing analytics support → Growth LAB

Jake McMahon — ProductQuant

Jake McMahon

8+ years building retention, activation, and growth programs inside B2B SaaS · Behavioural Psychology + Big Data (Masters)

I run this engagement myself. Not a team of analysts, not a templated audit process. I’ve spent years inside PostHog instances for B2B SaaS teams — redesigning event taxonomies, writing HogQL churn scoring queries, building dashboard systems that people actually open, wiring up Stripe data, and configuring experiments. The work on this page comes from actual PostHog projects, not documentation.

The reason most PostHog setups don’t work isn’t technical. It’s that nobody had a clear opinion about what to measure before the engineers started tracking things. That’s the gap the Power-Up closes.

I won’t do this:

Deliver dashboards your team won’t open
Audit an event taxonomy without rebuilding it
Build tracking that answers last year’s questions
Produce generic “best practice” output that could apply to any B2B SaaS

What do you need from our team during the 14 days?

A 30-minute kickoff call at the start, a 30-minute check-in at the midpoint if needed, and the walkthrough call at the end. PostHog viewer access. If you’re doing the Full tier, editor access is needed to build and configure experiments (or we can walk your engineer through the setup in the walkthrough). Total time commitment for your team: 2–3 hours across 14 days.

Teams Jake has worked with

PRICING

Choose the foundation that matches your immediate need.

Basic — Decision-Ready Analytics

$4,997

one-time · 14 days

Event taxonomy redesign (up to 50 events)
6 production dashboards (activation, feature adoption, retention, onboarding, engagement, revenue)
HogQL query library (10–15 saved queries)
Tracking implementation guide with code snippets
60-minute strategy walkthrough + recording
Growth Opportunity Map appendix

Guarantee: if your team isn’t opening the dashboards weekly within 30 days of delivery, we rebuild them — free.

Start Your Power-Up → $4,997

Full — Experiments + Churn Scoring

$7,997

one-time · 14 days

Everything in Basic
2–3 A/B experiments designed and configured
Cohort definitions for retention analysis by segment
Churn risk scoring (behavioral signal query)
Session replay triage strategy
90-minute team training (product, engineering, CS) — recorded

Guarantee: same as Basic, plus if the churn scoring query doesn’t surface at least one at-risk account in the first month, we extend the engagement at no cost until it does.

Start the Full Power-Up → $7,997

Dashboards your team opens weekly within 30 days — or we rebuild them free. If you chose the Full tier and the churn scoring query doesn’t surface at least one at-risk account in the first month, we extend at no cost until it does. The deliverable either works or we fix it.

Data Security

Read-only access only. Mutual NDA available — we sign same day. No data downloaded, stored, or exported. Access revoked after delivery.

Viewer role only — cannot create, modify, or delete anything in your PostHog project
Mutual NDA template available before sending the invite — signed same day
No data exported or downloaded — analysis is done inside your PostHog instance
Access revoked after delivery — we remind you to revoke viewer access
Self-hosted PostHog supported — we work from screenshots or screen-share if preferred
Your data is never referenced in marketing without written permission

Questions.

Or book a call →

Do we need the free Health Check first? +

No. You can start directly with the Power-Up. The Health Check is useful for teams who want to understand the problems before committing to the fix. If you already know your PostHog setup isn’t working, you don’t need a review to confirm it.

What access do you need to our PostHog project? +

Basic tier: viewer role only (most restrictive PostHog access — cannot create, modify, or delete anything). Full tier: editor access is needed to build dashboards and configure experiments. If you’re uncomfortable with editor access, we can do the dashboard and experiment setup in a screen-share session and walk your engineer through the configuration. NDA available before you send any invite.

Why can’t we just do this ourselves? +

Your engineers could do this — they set up PostHog, they can read the docs, they could audit the taxonomy, redesign the dashboards, and configure experiments. But they haven’t, because they have a roadmap to ship. Analytics cleanup will never be the priority over the next feature. It will sit in the backlog with a “we should really fix our tracking” comment for the next 6 months. This takes us 14 days from kickoff to live dashboards. Your team’s version takes 3–6 weeks — if it ever happens — because the moment an engineer sits down to do it, a higher-priority ticket lands in the sprint.

How do you handle B2B account-level tracking in PostHog? +

Most PostHog implementations track at the person level — individual user events tied to a user ID. For B2B SaaS, this is the wrong model. When five people from one account use your product, you care about account-level retention, not individual user retention. We configure PostHog’s group analytics (posthog.group('company', companyId)) so you can track activation, retention, and churn at the account level instead of aggregating individual user events and hoping the math works out. We also use custom HogQL power calculations for experiments with variable baselines — so experiments run long enough to be conclusive, not just until someone gets impatient.

We’re on self-hosted PostHog. Does this still work? +

Yes. If your PostHog instance is on a private network, we work from screenshots or a screen-share recording instead of direct access. The output is identical — the event taxonomy, dashboards, HogQL queries, and implementation guide all apply the same way. It adds a small coordination overhead but doesn’t change what you get.

We just set up PostHog. Is it too early for the Power-Up? +

The best time to redesign your taxonomy is before your engineers have implemented 200 events your product depends on. If you’ve just adopted PostHog, starting with a strategic taxonomy design (instead of retroactively auditing one) is faster and cheaper. The Power-Up applies directly. The earlier you do it, the less technical debt you accumulate.

What happens after the 14 days? +

Everything we built stays with you. Dashboards, queries, implementation guide, Growth Opportunity Map. If you want ongoing support — new dashboards as your product evolves, monthly experiment design, async data questions answered within 24 hours — the PostHog Advisory retainer ($4,997/mo, 3-month minimum) picks up where the Power-Up leaves off.

Can we start with the Event Taxonomy Audit ($997) instead? +

Yes. The $997 Event Taxonomy Audit is the taxonomy redesign portion of the Power-Up extracted as a standalone deliverable. Your engineers can implement it themselves, or you can use it as a foundation for the full Power-Up. If you later do the Power-Up, the $997 is credited toward the engagement — you don’t pay for the taxonomy twice.