POSTHOG IMPLEMENTATION

Jake McMahon
Jake McMahon — ProductQuant
8+ years B2B SaaS · Behavioural Psychology + Big Data (Masters)

Your PostHog tells you exactly where users are activating, where they’re dropping off, and what to fix next.

PostHog implementation, audit, and migration for B2B SaaS teams. Three paths depending on where you are: audit an existing setup, build clean from scratch, or migrate from your current analytics platform without losing history.

Book a 30-minute call → See what’s included ↓

Your team opens PostHog to answer questions — not to wonder if the numbers are right — or full refund

WHAT YOU HAVE AT THE END

Clean event taxonomy Consistent naming, property standards, and a tracking plan the team can maintain
Dashboards that answer questions Activation funnels, retention curves, and feature adoption — built for decisions, not reports
Group analytics working Account-level and user-level views separated, so your CS and product teams see what they need
Team trained and independent PMs and analysts can answer product questions without engineering every time
Migration validated Dual tracking and reconciliation before cutover — no data loss, no surprises

Fixed-price audit, build, and migration paths.

We build a PostHog setup that shows you exactly what to fix.

We install, check, or move your analytics. You get clear reports that tell your team where to focus.

CUSTOMER SUPPORT

A support agent asks, 'Why are users stuck on this step?'

Your PostHog setup shows a video replay of users getting confused on the same page. The support team finds the bug and tells the engineers exactly where to look. This fixes problems faster.

WEEKLY REPORTING

The CEO asks, 'Are our new features actually being used?'

A dashboard automatically shows how many people clicked the new button versus the old one. You get a clear answer without digging through data. This helps decide what to build next.

PRODUCT LAUNCH

A product manager says, 'We need to track sign-ups from this campaign.'

We build a simple tracker that counts sign-ups from the new ad. You see the number go up in real-time on a chart. This proves the campaign is working.

ENGINEERING

An engineer asks, 'Did our fix actually reduce the error rate?'

Your setup compares the error count before and after the code change. The chart shows a clear drop. This confirms the fix worked and saves testing time.

DELIVERY
Independent team

A working PostHog setup your team can use independently, with no ongoing dependency on us.

KEY OUTCOME
Decisions, not dashboards

Your team opens PostHog to answer product questions — where users activate, where they drop, what cohorts reveal.

FIXED PRICE
Fixed Per Path

Fixed price per path. Audit, greenfield implementation, or full Mixpanel migration.

Teams Jake has worked with

Gainify
Guardio
monday.com
Payoneer
thirdweb
Canary Mail

THE SETUP IS LIVE. THE QUESTIONS ARE STILL UNANSWERED.

PostHog is installed but nobody trusts the numbers

“We set up PostHog during the launch sprint. Events are firing, dashboards exist. But every time someone pulls a number for a meeting, someone else questions whether it’s right. We’ve stopped using it for anything important.”

Head of Product — B2B SaaS

Migration keeps getting pushed because nobody wants to own the risk

“Our current analytics costs are getting out of hand. Everyone agrees we should move to a new platform. But nobody wants to be the person who broke the metrics. The migration has been on the roadmap for six months.”

VP Engineering — Series A

Group analytics missing — account-level questions go unanswered

“CS keeps asking which accounts are engaging and which are going quiet. We have user-level event data but no account rollup. So every churn conversation is based on Salesforce notes and gut feel, not product data.”

Product Manager — B2B SaaS

THREE PATHS — ONE OUTCOME

A PostHog setup your team trusts enough to make decisions with.

Audit Path
PostHog Audit
$2,997

Your PostHog is already running but the data quality is low enough that nobody acts on it. This maps what’s broken, what’s missing, and what to fix first.

  • Event audit — what fires correctly, what misfires, what is absent
  • Group analytics review — account-level vs. user-level separation
  • Dashboard assessment — which charts drive decisions and which are noise
  • Ranked fix list — prioritised by impact and implementation effort
  • Tracking plan gaps documented with a spec for what to add next
Build Path
Greenfield Implementation
$5,997

Starting fresh or rebuilding from scratch. The goal is an event taxonomy that survives growth without a retrofit six months later.

  • Event taxonomy designed before a single event fires
  • Tracking plan — every event, property, and trigger documented
  • Client-side and server-side implementation
  • Activation funnel, retention, and feature adoption dashboards
  • Feature flags and A/B testing with guardrail metrics
  • Team training and operating cadence at handoff
Migration Path
Mixpanel → PostHog Migration
$9,997

Moving from Mixpanel or Amplitude without losing history, metrics, or team confidence in the numbers.

  • Event mapping — source events translated into clean PostHog taxonomy
  • Historical data transfer — events, properties, and user profiles
  • Dashboard recreation — key charts rebuilt with PostHog HogQL
  • Dual tracking and reconciliation before cutover
  • Cutover plan — nothing switches until the new system is validated
  • Team training so nobody is flying blind after migration day

What this looks like in practice: A common scenario is having PostHog installed but missing group analytics. Customer Success flags churn risk based on notes, not product data, because dashboards don't roll up to accounts. The audit identifies the core gaps—like missing group identify calls—and the fix list prioritizes changes that let the team answer account-level questions without engineering.

HOW THE SPRINT RUNS

A clear process to a PostHog setup your team can use independently.

DAYS 1–3

Access & Diagnosis

Read-only access to PostHog and your existing analytics stack. Current events, dashboards, and data flows mapped. What fires correctly, what misfires, and what is absent documented before anything is changed.

→
DAYS 4–10

Build or Migrate

Taxonomy designed. Events implemented or migrated. Dashboards built. For migrations, dual tracking runs in parallel and reconciliation confirms the new data matches the source before cutover is planned.

→
DAYS 11–14

Validation & Handoff

Data validated against known benchmarks. Dashboards reviewed with the team. Documentation left in a format your PM and analyst can maintain. Operating cadence agreed so the setup doesn’t drift.

Outcome: your team opens PostHog and gets answers, not questions.

FIT CHECK

B2B SaaS teams with PostHog in place — or about to be.

GOOD FIT
B2B SaaS team that has PostHog but can’t rely on it for decisions
Existing setup · data quality gap · any path

The situation

You have PostHog running — or you’re choosing it now. Either the data is noisy enough that product decisions still happen in spreadsheets, or you need to move from Mixpanel without the migration becoming a six-month project. The common thread: your team should be able to open PostHog and answer a product question in five minutes, and right now that’s not the case.

What you leave with

  • A PostHog setup your team trusts enough to act on
  • Activation funnels, retention curves, and group analytics that answer account-level questions
  • Documentation and training so the setup survives after the sprint

Your PM can answer “where are users dropping off?” without filing an analytics request.

NOT A FIT
Pre-product, no analytics at all, or PostHog isn’t the tool being used
Wrong stage or wrong stack

When this service doesn’t apply

If you haven’t shipped a product yet, there’s no instrumentation to build against. If your stack is entirely built around a different data pipeline and the team works in a different analytics paradigm, the implementation scope is different. And if you’re not planning to use PostHog — for product analytics, feature flags, or session replay — this engagement is the wrong starting point.

Better starting points

No analytics at all — start with the Activation Deep Dive to understand what to track before you build the system around it

Data warehouse first — a different engagement covers Segment, dbt, and BI tooling

Jake McMahon

Jake McMahon — ProductQuant

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

I run this myself. The event audit, the taxonomy design, the migration mapping, the dashboard build — all of it. Not handed off to a junior. Not delivered as a recommendations deck.

Most PostHog implementations break at the same point: events are named inconsistently, group analytics are missing, and dashboards were built to look busy rather than answer a specific question. The team stops trusting the numbers. Then PostHog becomes expensive wallpaper. The fix is not more charts — it is a clean taxonomy, a tracking plan that survives team changes, and dashboards designed around the questions your PM actually asks.

I won’t do this:
  • Build dashboards before the event taxonomy is stable enough to trust
  • Recommend cutover during migration before dual tracking confirms the data matches
  • Deliver documentation that only makes sense to me — everything is formatted for whoever maintains it next
  • Run the audit and hand you a problem list without ranking what to fix first
What if your current PostHog setup is a mess?
That is the typical starting point for the audit path. We map what exists before touching anything. The audit documents every event that fires — what it is, whether it fires correctly, what properties it sends, and whether it’s being used in any dashboard. From there, the ranked fix list tells you what to tackle first. You don’t need a clean setup to start. You need a clear picture of what’s broken.

Teams Jake has worked with

Gainify
Guardio
monday.com
Payoneer
thirdweb
Canary Mail

PRICING

Three fixed-price paths. No retainer, no hidden scope.

Audit
PostHog Audit
$2,997
5-day sprint
  • Full event audit — correct, broken, and missing
  • Group analytics review
  • Dashboard assessment
  • Ranked fix list with effort estimates
  • Tracking plan gaps documented
Build
Greenfield Implementation
$5,997
14-day sprint
  • Event taxonomy designed from scratch
  • Full tracking plan documented
  • Client-side and server-side implementation
  • Activation, retention, and feature adoption dashboards
  • Feature flags and A/B testing guardrails
  • Team training and handoff documentation
Migrate
Mixpanel → PostHog Migration
$9,997
14-day sprint
  • Event mapping from source taxonomy
  • Historical data transfer
  • Dashboard recreation in PostHog
  • Dual tracking and reconciliation
  • Validated cutover plan
  • Team training post-migration

Everything built stays with your team permanently. No ongoing dependency.

Book a 30-minute call →

Guarantee: If your team cannot use the PostHog setup to answer key product questions within the first 30 days, we will keep working at no additional cost until it does. If the project's core outcome is not achievable, we will tell you in the first week and refund any payment.

Questions.

Common questions before teams decide which path fits their situation.

Or book a call →
Do you work on existing PostHog setups? +
Yes. The audit path is built for setups that are already live but not clean enough to trust for decisions. It ends with a ranked fix list your team can act on without us involved.
Can you migrate from another analytics platform? +
Yes. Migration includes event mapping, historical data transfer, dashboard recreation, dual tracking, and reconciliation before cutover. Nothing switches until the new PostHog setup is validated against your source system. If the data doesn’t match during reconciliation, we fix it before the team ever sees the discrepancy.
How much engineering time does this need from our side? +
For the audit, none. For implementation and migration, a briefing at the start and a handoff session at the end. The taxonomy design, event implementation, and dashboard build happen on our side. Your engineers review and merge the instrumentation changes — they don’t need to drive the project.
What does the guarantee cover? +
Your team opens PostHog to answer product questions — not to wonder if the numbers are right — or full refund. If the setup genuinely can’t reach that standard due to constraints in your existing architecture, we tell you in the first week and agree a scope that is achievable. We don’t deliver on day 14 and claim the brief was met when it wasn’t.
Do you include training and documentation? +
Yes. Every engagement ends with a handoff session, a tracking plan formatted for whoever maintains it, and a dashboard walkthrough so PMs and analysts can answer questions independently. The operating cadence — how often to review the taxonomy, how to add new events cleanly — is documented too.
What if we’re not sure which path we need? +
The 30-minute call is for exactly this. We look at your current PostHog state, what questions your team needs answered, and which path gets you there fastest. The audit is the right starting point if you have an existing setup and aren’t sure what’s broken. Migration is right if costs or limitations of your current platform are the driver. Greenfield is right if you’re starting clean.

PostHog that answers product questions — not one that makes you question the answers.

Audit your existing setup, build clean from scratch, or migrate from your current platform without losing history. Fixed price, and a guarantee tied to whether the tool actually works.

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Book a 30-minute call → See the three paths ↓