DevOps & OpsPostHog
The all-in-one product analytics platform engineers deploy themselves and actually trust.
PostHog is an open-source product analytics and experimentation platform in the product intelligence category, combining event tracking, session recording, feature flags, A/B testing, and funnel analysis in a single self-hostable or cloud-hosted product. It is used by product engineers, growth engineers, and product managers at software companies from early-stage startups through Series B and beyond, often as the first serious analytics investment after a product has found initial traction. The core problem it solves is the fragmentation of product data across four or five disconnected SaaS tools, each with different event schemas and privacy exposure, which makes it slow and error-prone to understand how users actually move through a product. PostHog's integrated toolset means feature flags and A/B tests share the same event data as funnels and retention charts, so teams can ship a flag, measure conversion, and roll back without switching contexts. Its self-hosting option and EU cloud give teams with privacy or compliance requirements a credible path that Mixpanel or Amplitude cannot offer.
Product engineers and product managers at software companies with between 5 and 200 engineers who are past the "are people using this at all" stage and need to understand behavioral patterns at the feature level. The clearest signal to adopt PostHog is when the team is maintaining separate contracts with Mixpanel, LaunchDarkly, and FullStory and realizing the data does not connect, or when a compliance requirement makes sending user data to third-party analytics vendors a legal problem.
$50,000 in credits for 1 year
Subject to partner eligibility criteria. Savings estimates reflect maximum potential value.
PostHogin depth.
Integrated Feature Flags and A/B Testing
Feature flags in PostHog share the same user identity and event data as all analytics, so experiments are analyzed against real behavioral funnels rather than isolated flag metrics. Teams can run a multivariate test, see impact on retention or activation, and make a confident rollout decision without moving data between tools.
Session Recording and Heatmaps
Session replays capture exactly what users did before dropping off a funnel or triggering an error, linking directly to the analytics event that flagged the drop. This collapses the feedback loop between quantitative metrics and qualitative debugging from days to minutes.
Self-Hostable Open Source Core
PostHog's core product is open source and can be deployed on any cloud or on-premises infrastructure, keeping all user data inside the team's own environment. This is a hard requirement for healthcare, fintech, and enterprise SaaS products handling sensitive user data under GDPR, HIPAA, or SOC 2 scopes.
SQL Access to Raw Event Data
PostHog gives teams direct SQL access to the underlying event tables via its built-in query interface. Engineers can write arbitrary queries against raw events rather than being limited to the dashboard UI, which matters when answering nuanced product questions that prebuilt charts cannot express.
Product Analytics Suite
Funnels, retention curves, user paths, cohort analysis, and lifecycle charts are all built in and share a unified event model. Teams do not need to re-implement analysis logic across separate tools or maintain a custom data pipeline just to answer basic product questions.
PostHog connects with data warehouses including BigQuery, Snowflake, and Redshift for event export, and integrates with Slack for alerts, Sentry for error correlation, and Zapier for workflow automation. In a typical software team's stack it replaces or consolidates Mixpanel or Amplitude for analytics, LaunchDarkly for feature flags, and Hotjar for session recording into a single data layer.
Commonuse cases.
Understanding where users drop off in an activation flow
A product team instruments key steps in their onboarding with PostHog events, builds a funnel, and immediately sees which step has the highest drop-off rate. They watch session recordings of users who abandoned at that step and identify a confusing UI element within a single afternoon, without waiting for a data analyst or exporting CSVs.
Running a controlled rollout of a new pricing page variant
Engineers create a feature flag in PostHog targeting 20% of new visitors, define a conversion goal, and let the experiment run for two weeks before checking statistical significance against their activation metric. The flag, the event data, and the analysis all live in one place, so the product manager and engineer see the same numbers without any data reconciliation.
Maintaining analytics under GDPR or strict data residency requirements
A European SaaS company self-hosts PostHog on their own AWS infrastructure in Frankfurt, keeping all user behavioral data within the EU and under their own data processing agreements. This satisfies enterprise customer due diligence questionnaires that explicitly ask where analytics data is processed.
Three stepsto activate.
Check eligibility
Each partner maintains independent qualification criteria. We assess your profile and determine which offers you qualify for.
Schedule a briefing
Book a call with our partnerships team to discuss your stack requirements and walk through the activation process.
Activate credits
Once approved by the partner, credits are deployed to your account. Timelines vary by partner.
BearPlex maintains partnerships with leading technology providers to facilitate access to exclusive programs for our clients. All offers are subject to each partner's independent eligibility requirements, approval processes, and terms of service. Savings figures represent maximum potential value and may vary based on qualification, usage, and partner-specific criteria. BearPlex acts as a facilitation partner and does not guarantee approval or specific credit amounts. Offer availability and terms may change at the partner's discretion.
