Analytics

PostHog session replay: privacy-respecting implementation

Replay is powerful and invasive. We mask inputs, block sensitive routes, and align retention with GDPR consent categories.

Veloria AnalyticsSep 9, 20257 min read
PostHogSession ReplayPrivacyGDPR
PostHog session replay: privacy-respecting implementation

Key takeaways

  • 01

    Default to mask — unmask only what's essential for debugging.

  • 02

    Legal and product must agree on replay scope before enabling in EU.

  • 03

    Use replay for reproduction, not performance monitoring.

PostHog session replay privacy is one of the questions we hear most from product and engineering teams in 2026. The gap between a polished demo and a production system is where most projects stall.

We've shipped this across Flutter apps, SaaS backends, and analytics stacks for startups and enterprises. Here's what works, what breaks, and how we approach it on real client projects.

What matters in practice

For posthog session replay: privacy-respecting implementation, the details that look optional in a slide deck become blockers in week six of a build. We standardize patterns early so teams don't reinvent the wheel on every sprint.

  • data-mask='all' on payment, health, and profile edit forms
  • Blocklist /settings/billing and /admin/* from recording entirely
  • Replay only after analytics consent — not bundled with essential cookies
  • 90-day retention default; legal hold process for dispute investigations

Common pitfalls we see

Teams often move fast on the happy path and skip instrumentation, error handling, or review gates. That works for a hackathon — not for an app with paying users and compliance requirements.

We bake in logging, fallbacks, and explicit ownership before launch. The extra day upfront saves a week of firefighting after release.

The bottom line

Treat PostHog session replay privacy as part of your product architecture, not a side task. When it's designed in from discovery — with clear metrics and maintainable code — your team ships faster and sleeps better after launch.

About the author

Veloria Analytics

Data & Product Analytics

We implement Firebase, PostHog, MoEngage, and GA4 instrumentation — turning product events into dashboards teams actually use.

Work with us

Want to discuss this topic or build something similar?

Veloria Tech ships production-grade mobile, web, and AI products — from architecture through launch and beyond.