PostHog, Implemented Like Engineering
PostHog is easy to install and hard to trust. Autocapture turns on in minutes; a taxonomy your team actually believes in six months from now takes real design work.
We are an implementation and measurement engineering practice that works with PostHog - not a marketing or SEO shop, and not an official PostHog partner. The work is event architecture, migration engineering, self-hosted deployment and operations, and feature-flag or session-replay instrumentation done the way a data engineering team would do it.
If you are comparing PostHog to Amplitude, Mixpanel, or GA4, or moving off one of them onto PostHog, that is exactly the work we do - and we run a dedicated Amplitude practice too, so migration questions get answered from both sides.
Get a Straight Read on Your PostHog Setup
Send us what you have - a live instance, a migration you're scoping, or a self-hosting question - and we will reply with an engineering answer.
What We Actually Build
Event Architecture & Taxonomy
A written event and property taxonomy before instrumentation ships - naming conventions, required properties, and a clear line between what autocapture should handle and what needs an explicit event. See autocapture vs. explicit events for the decision framework we use.
- event naming standards teams can maintain without us
- property schemas that survive a product redesign
- a documented boundary between autocapture and explicit tracking
Migration Engineering
Moving analytics history and go-forward tracking onto PostHog from Amplitude, Mixpanel, GA4, Heap, or another tool - event mapping, parallel-run verification, and a rollback plan, not a one-way cutover. Start at the migration hub.
- event and property mapping from the source platform
- parallel-run verification before the old tool is switched off
- a rollback plan that is actually usable, not theoretical
Self-Hosted Deployment & Ops
Scoping and running self-hosted PostHog - infrastructure sizing, upgrade cadence, backup and restore drills, and the operational cost picture weighed honestly against PostHog Cloud.
- infrastructure sizing against real event volume
- upgrade and patching cadence
- an honest cost comparison against Cloud, not a foregone conclusion
Feature Flags, Replay & Instrumentation
Feature flag rollout design and session replay configuration that matches how the product is actually used - flag hygiene, rollout percentages tied to real risk, and replay sampling that respects both signal and privacy.
- flag naming and cleanup discipline
- rollout plans sized to blast radius, not guesswork
- replay sampling and masking configured for the actual product
Comparing Platforms Before You Commit?
We build the comparison and alternatives guides from the same engineering lens - what each platform actually does differently, not marketing copy.
Guides, Comparisons & Migrations
PostHog pricing
Usage-based tiers explained, and what actually drives the number.
Read →Feature flags
Rollout design, flag hygiene, and cleanup discipline.
Read →Session replay
Sampling, masking, and what replay is actually good for.
Read →Self-hosted PostHog
The deployment and operations angle, costed honestly.
Read →Autocapture vs explicit events
The event-architecture decision framework.
Read →Alternatives & competitors
The landscape by job to be done, PostHog included honestly.
Read →PostHog vs Amplitude
Open-source product analytics vs the incumbent suite.
Compare →PostHog vs Mixpanel
All-in-one platform vs a focused analytics tool.
Compare →PostHog vs Google Analytics
Product analytics vs. web analytics - different jobs.
Compare →Hotjar alternative
Session replay and heatmaps, minus the separate bill.
Read →Pendo alternative
Product analytics and in-app guidance, compared honestly.
Read →Migration guides
Amplitude, Mixpanel, GA4, Heap - every direction, one method.
Read →Capability Guides
Sending events: API & schema
Capture API vs SDK, personal vs project keys, and how ingestion actually works.
Read →Reverse proxy setup
First-party ingestion so ad blockers and ITP stop dropping events.
Read →Multi-project feature flags
One flag, consistent across every linked project - not three kept in sync by hand.
Read →Session recording rules
Trigger rules, sampling, and retention - deciding what actually gets recorded.
Read →Error tracking & alerts
Grouping, alert thresholds, and monitoring that doesn't get muted in a week.
Read →Health checks
Authorized URLs and web vitals - the two-minute checks worth running.
Read →Data warehouse integration
Joining external sources against product events without a second ETL pipeline.
Read →Customer analytics (B2B mode)
Account-level journeys and profiles, not just person-level funnels.
Read →Revenue analytics
Connecting billing data to usage - and reconciling it against your books.
Read →Ad platform integrations
Microsoft Ads, Amazon Ads, and CDP sources - sources vs destinations, mapped correctly.
Read →LLM observability
Tracing Claude Agent SDK and LLM calls alongside regular product events.
Read →Attribution troubleshooting
Why a campaign shows "none" - the diagnostic order that actually works.
Read →Frequently Asked Questions
Frequently Asked Questions
Do you sell PostHog SEO or growth marketing?
No. We are an implementation and measurement engineering practice - event architecture, migration engineering, self-hosted operations, and feature-flag or session-replay instrumentation. If you need SEO or growth marketing, that is a different vendor; we work with PostHog, we do not market with it.
Are you affiliated with PostHog Inc.?
No. Webclat is an independent practice that works with PostHog. We are not an official PostHog partner, reseller, or representative, and nothing here should be read as PostHog's own guidance or endorsement.
What does 'implemented like engineering' mean in practice?
A written event taxonomy before any tracking code ships, a migration plan with a rollback path, self-hosting decisions scoped against real operational cost, and feature flags or session replay wired to match the product's actual usage patterns - not a autocapture-and-hope default.
We already run PostHog. Do you only do net-new builds?
Most engagements are exactly the opposite: an existing PostHog instance with drifted event names, an autocapture setup nobody trusts, or a self-hosted deployment that needs an operational owner. Migrations from another platform are the other common entry point.
Talk to an Engineer, Not a Sales Deck
Most PostHog questions are engineering questions - event architecture, migration scoping, self-hosting ops, feature-flag rollout design. Tell us where you are and we will reply with a straight answer, not a pitch.