Hub for self-hosted product analytics and session replay on PostHog, OpenReplay or Umami: event tracking, funnels and replays kept in your own infrastructure, and where industry and scale change the build.
For SaaS product teams: event tracking plans, funnels, retention and feature adoption on self-hosted PostHog or OpenReplay, keeping customer data out of third-party tools for enterprise deals, and the event volume where self-hosting stops being practical.
For digital banking and fintech apps: masking card numbers, balances and personal data at capture, excluding payment pages, retention limits, DORA third-party risk and the access controls that keep replays from becoming a data leak.
For patient portals, telehealth and digital health apps: keeping protected health information out of event properties and replays, self-hosting so no tracking vendor receives ePHI, HIPAA safeguards for the analytics stack and what to measure instead.
For EU companies keeping behavioral data in the EU: self-hosting OpenReplay or PostHog on EU infrastructure versus EU cloud regions of SaaS tools, what third-party CDNs and SDKs still transfer, and documentation for data protection reviews.
Why session replay and identified product analytics need consent in the EU, how to gate SDKs behind a consent tool, handling access and erasure requests for recordings, retention periods and the records of processing to keep.
Configuring self-hosted session replay so sensitive data never leaves the browser: capture-time masking by selector, input redaction, private-by-default mode, network payload filtering, and testing that masking holds after front-end releases.
For iOS, Android and React Native teams: mobile SDKs and native replay in OpenReplay, event tracking in PostHog, offline event buffering, app store privacy disclosures, and keeping mobile and web analytics in one self-hosted stack.
What happens as event volume grows: PostHog's guidance that open-source deployments suit about 100k events a month, ClickHouse sizing, OpenReplay storage and retention, and when to choose a warehouse-based design or a managed service instead.
For teams that want product events in their own warehouse: collecting events with an open-source pipeline into ClickHouse or PostgreSQL, modeling funnels and retention in SQL, dashboards in Superset or Metabase, and experiment analysis with GrowthBook.
A requirements checklist for self-hosted product analytics and session replay: functional must-haves, hosting and data residency, identity and access, privacy and retention, integrations, operations and support, so a team can compare self-hosted options before choosing a platform.
Questions to put in an RFP or vendor brief for self-hosted product analytics and session replay: platform and edition fit, licence obligations, migration of existing data, hosting model, security evidence, support terms after go-live and how the fixed scope is defined.
Cost structure for self-hosted product analytics and session replay: subscription pricing published by SaaS vendors against self-hosted infrastructure, implementation, support and internal staff time, which drivers move each line, and when bringing in an implementation partner costs less than building alone.
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