Compare BigHoot and PostHog on conversion analysis, EU-first hosting, AI-assisted replays, and per-project pricing. Find your fit.
PostHog is built primarily for engineering-led product analytics, including event analysis, feature flags, experiments, and release workflows. BigHoot focuses on finding conversion problems through Heatmaps, Session Replays, Smart Funnels, attribution, Rage Clicks, and Watchtower alerts. Your choice depends on whether product usage or conversion performance is the main question.
Choose BigHoot if your marketing, e-commerce, or agency team wants to identify why visitors abandon key journeys without building extensive event models. It is designed for conversion analysis, visual behavior data, funnel diagnosis, and proactive alerts. PostHog is more suitable when developers manage analytics and need product experimentation in the same stack.
PostHog covers a broader engineering-oriented product analytics scope, with detailed Events, feature flags, experiments, and product usage analysis. BigHoot is narrower by design: it connects behavioral evidence with conversion outcomes. If feature adoption and releases drive your decisions, PostHog fits better. If checkout, lead, or campaign performance matters more, consider BigHoot.
Both platforms provide replay capabilities, but their analysis workflows differ. BigHoot combines Session Replays with Heatmaps, Rage Clicks, funnel context, and AI-assisted summaries to help teams prioritize conversion issues. When comparing session replay tools, consider whether you want recordings as raw evidence or a workflow that connects recordings directly to drop-offs and frustration signals.
BigHoot uses an EU-first hosting approach and includes privacy-focused defaults such as input masking in Session Replays. This can reduce the configuration needed for GDPR-compliant analytics. However, no analytics platform makes your entire setup compliant by itself. Your consent configuration, lawful basis, retention settings, disclosures, and data processing agreement still need review.
PostHog pricing is usage-based across metered products such as Events and recordings, which can suit teams that want granular consumption billing. BigHoot uses per-project packages with defined limits, making project-level cost allocation easier for marketing teams and agencies. Compare current plan limits against expected traffic and recording volume before deciding.
You can run both tools in parallel because they serve different decision needs. Keep PostHog for product events, experiments, or feature flags while testing BigHoot on important conversion journeys. Start with a few high-value funnels, compare findings, and then decide which data belongs in each platform. Historical event migration is often less useful than clean future tracking.