POSTHOG CONSULTING — B2B SAAS SPECIALISTS

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

PostHog setup that produces decisions, not just data.

Most PostHog setups are technically running but analytically broken. Wrong event names, dashboards nobody trusts, funnels that show impossible numbers. ProductQuant designs the taxonomy, builds the dashboards, and hands over a PostHog setup your team can actually use — production-ready in 2 weeks.

Get Your Free Health Check → See PostHog Services ↓

Free PostHog Health Check · No obligation · Paid engagements from $2,497

WHAT GETS FIXED

Event taxonomy Naming conventions, properties, user identity — designed before a single event fires
Funnel accuracy Activation and conversion funnels that reflect actual user behaviour
Retention analysis Cohort views that surface churn signals before the cancellation email
Feature flags & A/B tests Experiment infrastructure configured for reliable, actionable results
HogQL queries Custom analysis beyond the standard UI — at-risk lists, expansion signals

From $2,497 · 2–3 weeks · full documentation handover

DELIVERY
2 weeks

Standard PostHog Setup Sprint from scoping call to production handover, including documentation and team training.

BUILT IN PRODUCTION
300+

PostHog charts built across client work — custom HogQL queries, Stripe and Customer.io integrations, Postgres database connections, HIPAA-compliant PHI-free event strategy, and Mixpanel migrations with years of historical data preserved.

STARTING POINT
Free

Every engagement starts with a free PostHog Health Check. You see exactly what’s broken before committing to anything.

WHY TEAMS COME TO US

PostHog is running but the data isn’t trustworthy

“We have PostHog set up and it’s firing events. But our activation funnel shows a 140% conversion rate in one step and nobody can explain it. We made decisions based on that number for six months before someone finally questioned it.”

Head of Product — B2B SaaS, Series A

Engineers set up tracking but nobody owns the taxonomy

“Every new feature gets tracked differently depending on who built it. We have three different naming conventions across the product. Some events have user IDs, some don’t. Building a retention cohort means spending two days cleaning data first.”

Growth PM — PLG SaaS, $15M ARR

Switching from Mixpanel and don’t know where to start

“We want to move off Mixpanel to cut costs and get feature flags in the same tool. But the migration seems risky — we’re worried about losing historical data or having a blind period where neither tool is reliable.”

CTO — Vertical SaaS, $25M ARR

Self-implemented PostHog two years ago and it’s turned into data debt

“We built the initial setup fast. Now we have 400 events, half of them are duplicates or deprecated, and the dashboards are so out of date that nobody looks at them. We need someone to assess what’s worth keeping and rebuild the rest properly.”

VP Engineering — B2B SaaS, $40M ARR

CLIENT WORK

PostHog in production

Healthcare SaaS — Migration
90%
analytics cost reduction

Mixpanel to PostHog: 906K Events, HIPAA-Compliant

A HIPAA-regulated healthcare forms platform migrated 4 years of Mixpanel data to PostHog — preserving full event history, cutting analytics costs from $60K/year to under $3K, and establishing a PHI-free instrumentation architecture from day one.

Read case study →
Healthcare SaaS — Compliance
8
PHI exposure categories found & remediated

HIPAA Analytics Audit: PHI Exposure Found and Fixed

A billing spike triggered a full analytics compliance audit. Eight categories of Protected Health Information were being captured by the existing analytics setup without anyone flagging it. Full PHI-free remediation strategy built and implemented.

Read case study →
Healthcare SaaS — Implementation
114
events · 13 dashboards · 37 UX issues

Production Analytics from Scratch: Events, Dashboards, UX Findings

Full PostHog implementation for a healthcare SaaS — 114 custom events, 13 dashboards covering activation, retention, and feature adoption, Stripe and Customer.io integrations, HogQL query library, and 37 UX issues surfaced from session data.

Read case study →

WHAT YOU GET

Every engagement produces five permanent assets

Taxonomy
Event Taxonomy Document

A complete naming convention, property schema, and event dictionary. Every event explained: what it fires, what properties it captures, why it exists. New engineers can onboard to the instrumentation in an afternoon.

  • Naming conventions that scale without collisions
  • User and group identification strategy documented
  • Critical events mapped to activation and retention milestones
  • Property standards enforced so queries are consistent
Dashboards
Core Dashboard Set

Dashboards built to answer specific business questions, not generic templates. Activation funnel, retention cohorts, feature adoption, and churn signal views. Every chart has a stated business question it answers.

  • Activation funnel from signup to first value event
  • Retention cohorts by plan, channel, and acquisition date
  • Feature adoption map for your most critical product areas
  • At-risk indicators based on your specific usage patterns
Experiments
Experiment Infrastructure

Feature flags and A/B test setup configured for reliable results. Sample size calculator calibrated to your traffic, hypothesis template for your team, and the first 3 experiment designs ready to run.

  • Feature flags implemented and tested in production
  • Experiment result views built with correct significance thresholds
  • First experiment backlog with hypotheses, metrics, and sample sizes
Custom Analysis
HogQL Query Library

For complex analyses that the standard PostHog UI cannot produce. At-risk account lists, expansion revenue signals, and custom cohort definitions built in HogQL and documented so your team can extend them.

  • Weekly at-risk list query (accounts showing decline signals)
  • Expansion revenue indicator query
  • Custom cohort definitions matching your ICP characteristics

Everything stays with your team permanently. All taxonomy documents, dashboards, queries, and experiment templates are handed over with full documentation. There is no lock-in and no ongoing dependency on ProductQuant unless you want it.

THE PROCESS

How a PostHog engagement works

01

Free PostHog Health Check

Before any paid work starts, a free health check reviews your current PostHog setup: event coverage gaps, funnel accuracy, dashboard quality, taxonomy consistency, and tracking drift. You get a prioritised list of what to fix. No obligation. Most teams learn something useful from this even if they decide not to proceed.

02

Taxonomy Design Session

A working session to design the complete event taxonomy before implementation begins. Naming conventions, user identification strategy, critical event map, property standards, and the distinction between what to track now and what to add later. This session prevents the naming drift that breaks analytics over time.

03

Implementation and QA

Every event implemented against the taxonomy with server-side verification. Properties validated against the schema. Edge cases documented. A tracking QA checklist run across the product to catch instrumentation gaps before they become data debt. If migrating from another tool, a parallel-run period is built in to validate coverage before cutover.

04

Dashboard and Analysis Build

Core dashboards built against specific business questions: activation funnel, retention cohorts, feature adoption, churn signals. HogQL queries written for anything the standard UI cannot produce. Experiment infrastructure configured with feature flags and A/B test views, sample sizes calibrated to your traffic levels.

05

Handover and Team Training

A live training session covering how to extend the taxonomy, add new events correctly, QA tracking changes, and interpret the dashboards. Full documentation package: taxonomy document, event dictionary, dashboard guide, HogQL query library. Your team owns the setup from day one of handover.

Jake McMahon — PostHog consultant

Jake McMahon, ProductQuant

WHO DOES THE WORK

Jake McMahon

Founder, ProductQuant · MSc Big Data & Business Analytics · BSc Behavioural Psychology · 8+ years B2B SaaS

Jake has implemented PostHog for B2B SaaS teams across healthcare, HR, fintech, and developer tools. Every engagement is run personally — not delegated to a junior analyst. The depth of PostHog expertise comes from applying it to real growth problems: churn prediction, activation analysis, A/B testing infrastructure, and data warehouse integration.

The behavioural psychology and data science background means PostHog setups are designed for the questions that actually drive decisions: what behaviour predicts retention, where activation is breaking, and which experiments are worth running. Not just technically correct instrumentation — analytically useful instrumentation.

ProductQuant has published more PostHog implementation content for B2B SaaS than any other consultancy. The approaches documented in those posts are the same ones applied in client engagements.

PostHog implementation Event taxonomy HogQL Feature flags A/B testing Churn prediction Activation analysis Mixpanel migration

POSTHOG SERVICES

PostHog setup, done properly

PostHog Setup — Full Scope

PostHog Implementation

from $2,497
2–3 weeks · fixed scope · full documentation handover

With the right instrumentation you know where to focus and why — which means faster activation, expansion, and monetization without adding headcount. A clear picture of what drives growth in your product is the foundation for scaling to higher margins, better unit economics, and a valuation that rewards your increased growth rate.

  • Event taxonomy design — naming conventions, property schema, user identification strategy
  • Full instrumentation and QA across your product, verified against the taxonomy
  • Core dashboards: activation funnel, retention cohorts, feature adoption, churn signals
  • Feature flags and A/B testing infrastructure, sample sizes calibrated to your traffic
  • Custom HogQL query library for analysis the standard UI cannot produce
  • Migration support if switching from Mixpanel or Amplitude (parallel-run approach)
  • Live training session and complete documentation package your team keeps permanently
See full scope →

Scope and final price confirmed after the free Health Check.

Add-on — Ongoing Retainer

Growth LAB

PostHog gives you the instrumentation layer. Growth LAB adds the ongoing analysis, experimentation, and churn prediction on top — product analytics, marketing analytics, and growth strategy running together every month.

$6,997/mo
See Growth LAB →

WHO IT’S FOR

PostHog consulting works best in specific situations

Good fit
Teams starting PostHog from scratch

The best time to get the taxonomy right is before any events are in production. A pre-implementation design session prevents the naming drift and data debt that plagues most self-implementations within 12 months.

Good fit
Teams with PostHog running but data they don’t trust

An audit and rebuild is faster than it sounds. The Health Check identifies which parts of the setup are salvageable, which need fixes, and which need to be replaced. Most existing setups can be repaired rather than rebuilt from zero.

Good fit
Teams migrating from Mixpanel or Amplitude

The parallel-run approach eliminates the data-loss risk that makes most teams nervous about migrations. You keep both tools firing until PostHog coverage is verified, then cut over. PostHog implementation cost savings are typically substantial within the first year.

Not a fit
Teams that need a full-time embedded analyst

PostHog consulting is a project engagement, not a full-time hire. If you need someone running daily analysis, building ad-hoc reports, and attending every product meeting, a dedicated hire or a longer-term Growth LAB retainer is the right model.

Not a fit
Consumer apps with millions of daily events

ProductQuant focuses on B2B SaaS between $10M and $80M ARR. Consumer products at high event volume have different instrumentation challenges and a different analytics stack profile. The PostHog approach here is designed for B2B user behaviour, not consumer event volume.

POSTHOG VS ALTERNATIVES

How PostHog compares for B2B SaaS

Feature PostHog Mixpanel Amplitude
Native feature flags ✓ Included — —
A/B testing built-in ✓ Included — Add-on
Session replay ✓ Included — —
Self-hosting option ✓ Open source — —
Data warehouse export ✓ Native ✓ Native ✓ Native
SQL query access (HogQL) ✓ HogQL JQL (limited) SQL charts (limited)
Pricing at 10M events/mo ~$0–$450 ~$2,000+ ~$2,500+
Funnel and retention analysis ✓ Strong ✓ Strong ✓ Strong
Setup complexity Medium Low Medium

Pricing estimates as of April 2026. Actual costs vary by plan and usage volume. See PostHog, Mixpanel, and Amplitude pricing pages for current rates.

For B2B SaaS teams at $10M–$80M ARR, PostHog is generally the best choice because of native feature flags, A/B testing, and session replay in a single platform at a fraction of Mixpanel or Amplitude pricing. The setup complexity is real but solvable with proper taxonomy design.

PostHog vs Mixpanel → PostHog vs Amplitude →

Start with a free PostHog Health Check

Get Your Free Health Check →

No obligation. Most teams find at least one critical tracking gap they weren’t aware of.

POSTHOG RESOURCES

From the PostHog implementation library

IMPLEMENTATION & SETUP
PostHog Setup Guide for B2B SaaS
Event taxonomy, user identification, core dashboards, and the first experiment — the full setup process in one place.
Guide ~18 min →
PostHog Tracking QA Checklist
15-point checklist for verifying that instrumentation is accurate and complete before building dashboards on top of it.
Checklist ~8 min →
PostHog Autocapture: When to Use It and When to Avoid It
How autocapture works, the data quality tradeoffs, and how to combine it with custom events for a clean taxonomy.
Guide ~10 min →
COMPARISONS & MIGRATION
PostHog vs Mixpanel: Which Is Right for B2B SaaS?
Features, pricing, migration complexity, and when each tool actually makes sense for teams at $10M–$80M ARR.
Comparison ~14 min →
PostHog vs Amplitude vs Mixpanel: Full Comparison
Three-way comparison across features, pricing, analytics depth, and B2B SaaS fit. With a decision framework.
Comparison ~16 min →
Mixpanel to PostHog Migration: The Parallel-Run Approach
How to migrate without data loss or a blind period. The parallel-run methodology that makes migrations low-risk.
Guide ~12 min →
ANALYSIS & HOGQL
Using HogQL Like a Product Analyst
Custom queries for at-risk account lists, expansion signals, and cohort definitions the PostHog UI alone cannot produce.
Deep-dive ~20 min →
Building a Churn Early Warning Dashboard in PostHog
Retention analysis, HogQL signals, and behavioural indicators that surface at-risk accounts before the cancellation email.
Tutorial ~15 min →
PostHog Funnels: Answering the Right Business Questions
How to configure PostHog funnels to answer specific product questions, not just measure conversion rates.
Guide ~11 min →
View all 83+ PostHog posts →

FAQ

Common questions

Anything not covered here, book a 15-minute call and ask directly.

Book a call →
What does PostHog consulting include? +
PostHog consulting covers event taxonomy design, dashboard setup, funnel and retention analysis configuration, feature flag implementation, team training, and ongoing analytics QA. The goal is a production-ready PostHog setup that your team can own and extend. See the deliverables section above for the full list of assets produced in every engagement.
How long does PostHog setup take? +
A standard PostHog Setup Sprint takes 2 weeks from scoping call to handover. This covers event taxonomy, core dashboards, funnel configuration, and team training. Complex implementations with data warehouse integration, full A/B testing infrastructure, or migration from another tool typically take 3–4 weeks.
How much does PostHog consulting cost? +
PostHog implementation starts at $2,497 for the full scope: event taxonomy, dashboards, feature flags, A/B testing infrastructure, HogQL queries, and team handover. Final price is confirmed after the free Health Check based on your product complexity, team size, and whether migration from another tool is involved. Ongoing support is available through the Growth LAB retainer at $6,997/month.
Do you offer a free PostHog health check? +
Yes. The free PostHog Health Check reviews your current setup — event coverage, dashboard quality, funnel accuracy, taxonomy consistency, and tracking gaps — and produces a prioritised fix list. There is no obligation to proceed with paid work. The health check itself is useful regardless of whether you continue with ProductQuant.
Why hire a PostHog consultant instead of doing it in-house? +
The setup decisions made in week one — event naming conventions, user identification strategy, funnel definitions — determine whether your data is trustworthy for the next 3 years. Engineers can implement PostHog technically correctly but analytically poorly. A specialist who has done this across multiple B2B SaaS products designs the taxonomy for the decisions your team will actually need to make — not just for the events that are easy to track.
Is PostHog better than Mixpanel or Amplitude for B2B SaaS? +
For most B2B SaaS teams at $10M–$80M ARR: yes. PostHog includes feature flags, A/B testing, and session replay natively in a single platform, and costs a fraction of Mixpanel or Amplitude at equivalent event volumes. The setup is more complex than Mixpanel, which is why proper taxonomy design and implementation support matter. Teams that need the simplest possible out-of-the-box setup sometimes prefer Mixpanel. Teams that want data ownership, open-source flexibility, and an all-in-one experimentation platform consistently choose PostHog.
Can you help migrate from Mixpanel or Amplitude to PostHog? +
Yes. Migrations start with a parallel-run period where both tools fire simultaneously, which lets you verify PostHog coverage before cutting over. This eliminates the data-loss risk that makes most teams nervous about migrations. Most Mixpanel-to-PostHog migrations take 3–4 weeks including the parallel-run validation period. See the migration guide for the full approach.
What is PostHog HogQL and do you work with it? +
HogQL is PostHog’s SQL-like query language that gives direct access to your event data for analysis beyond what the standard UI can produce. ProductQuant uses HogQL to build churn prediction queries, weekly at-risk account lists, expansion revenue signals, and custom cohort definitions for clients. If your team has analytics needs the standard PostHog dashboards cannot address, HogQL is usually the solution — and the query library is documented and handed over as part of every implementation.

Ready to get PostHog working properly?

Start with the free Health Check. Bring your current PostHog setup — or bring a blank slate. Either way, you’ll know exactly what to fix and what it will take.

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