starter.wiki

Observability

Product Analytics

Choose an event and identity model for funnels, cohorts, activation, retention, and aggregate product journeys.

Recommendation

Choose the analytics operating model before the vendor.

Integrated product suites, governed behavioral analytics, focused event analysis, and autocapture-first workflows fit different questions and governance capacity.12

For: Web and mobile product teams measuring activation, adoption, conversion, and retention

Main trade-off

Richer behavioral analysis can answer more product questions while increasing event-taxonomy, identity, privacy, retention, and usage-cost responsibility.1234

Why there is no single default: The evidence does not establish a universal winner; identity, taxonomy, privacy, adjacent products, event volume, and team workflow materially change the answer.

Decision criteria

Start with the product questions and identity model, then test whether the team can operate the required taxonomy and privacy controls.

  1. Question and identity

    Define users, accounts, anonymous identity, activation, adoption, funnels, cohorts, and retention before instrumentation.3

  2. Capture and taxonomy

    Choose explicit events, broader capture, schema review, naming ownership, sensitive-field controls, and data-quality workflows.4

  3. Operating boundary

    Decide whether replay, experiments, flags, surveys, activation, CDP, or warehouse workflows should share the provider.1

  4. Privacy and cost

    Model consent, deletion, regions, retention, event and replay volume, governance tier, support, and export.13

Product analytics routes

All four candidates answer product-behavior questions; website acquisition analytics remains a separate Task.

Analytics should share an integrated product suite

Evaluate PostHog.

Product analytics can sit beside replay, experiments, flags, surveys, and related product workflows.

Verify: Model total usage and ensure suite consolidation is deliberate rather than accidental.1

Governed behavioral analysis across teams matters

Evaluate Amplitude.

Reusable cohorts, journeys, shared analytics, and taxonomy planning fit a cross-functional operating model.

Verify: Plan entitlements, account analysis, retention, and governance ownership require validation.2

A focused event-analysis workflow is preferred

Evaluate Mixpanel.

Events, users, properties, funnels, retention, and flows form a direct analysis model.

Verify: Identity, taxonomy, privacy, region, and adjacent-tool needs remain explicit.3

Autocapture-first discovery is justified

Evaluate Heap.

Broader capture can help teams explore interactions before every event is explicitly designed.

Verify: Autocapture does not remove taxonomy, sensitive-data, privacy, retention, and cost responsibilities.4

Official resources

Verify current capabilities, collection boundaries, privacy controls, retention, and commercial terms in the official documentation before implementation.

DocumentationAmplitude Analytics
DocumentationWhat is Mixpanel
DocumentationWhat is Heap

Sources

Official product documentation supporting the decision routes and boundaries on this page.

  1. 1
    PostHog product analytics

    PostHog · Accessed Official

  2. 2
    Amplitude Analytics

    Amplitude · Accessed Official

  3. 3
    What is Mixpanel

    Mixpanel · Accessed Official

  4. 4
    What is Heap

    Heap · Accessed Official