Is PostHog privacy-first like BetterMeter?

PostHog is privacy-conscious and offers a cookieless mode, but identification is central to how product analytics works: person profiles, user journeys and session replay all depend on knowing who did what. BetterMeter starts anonymous and treats identity as something you switch on. Neither default is wrong; they serve different jobs.

Yes, and the split is natural. PostHog for in-product behaviour, BetterMeter for acquisition, AI traffic, crawlers and the developer-tool surfaces. They are separate SDKs and do not interfere.

← All comparisonsComparison

BetterMeter vs PostHog

All-in-one product analytics for engineers: replay, flags, experiments, LLM tracing.

PostHog is much larger than BetterMeter in surface area and it is not close. Session replay, feature flags, experiments, surveys, a data warehouse and LLM observability all sit behind one SDK, with a free tier of a million events a month.

The two products answer different questions. PostHog is built to tell you what users do inside your product. BetterMeter is built to tell you where traffic comes from in an internet where a growing share of it is machines.

The privacy defaults differ too, and that difference is structural rather than cosmetic. PostHog identifies users, because product analytics needs to. BetterMeter is anonymous unless you deliberately turn identity on.

Side by side

Every comparison on this site answers the same twelve rows, so you can carry a row from one page to the next. means partial: possible, but not what the product is built to do.

BetterMeter compared with PostHog, capability by capability
Capability	BetterMeter	PostHog
Website analytics	Yes: One script tag. No cookies or browser storage by default. Included on Free.	Yes: Web analytics alongside a full product-analytics suite.
CLI tool analytics	Yes: trackCommand() and wrapCommander() in the Node SDK. Starter plan and up.	Partial: Custom events from any SDK; no CLI model out of the box.
MCP server analytics	Yes: trackTool() and wrapMcpServer() in the Node SDK. Starter plan and up.	Partial: Custom events; LLM observability targets model calls.
API endpoint analytics	Yes: trackApi() and expressMiddleware() in the Node SDK. Starter plan and up.	Partial: Custom events you define and maintain yourself.
AI assistant referral attribution	Yes: Ten platforms named separately, including ChatGPT, Claude, Perplexity, Gemini, Google AI Overview and Copilot. Included on Free.	Partial: Referrers are captured; no named assistant report.
AI crawler and bot reporting	Yes: 126 crawler signatures across 12 categories, 20 of them AI crawlers, reported rather than silently filtered. Included on every plan, Free included.	No: Bots are filtered from analytics, not reported.
Ad spend joined to CRM revenue	Yes: Meta ad spend joined to HubSpot deals on click IDs, not on email matching.	Partial: Warehouse joins are possible; marketing attribution is thin.
Queryable by an AI assistant	Yes: A CLI, an MCP server and a Claude Code skill ship with the product.	Yes: PostHog ships MCP and AI tooling of its own.
Cookie-free by default	Yes: Anonymous by default. Identity and durable ad attribution are opt-in.	No: Cookies and person profiles by default; a cookieless mode exists.
Self-hosting	No: Hosted service only. There is no open-source or self-hosted edition.	Partial: Self-host options exist; the cloud is the main path.
Data region	United States. There is no EU region yet.	Cloud and self-host options. Check PostHog for current regions.
Entry price	Free for 10,000 events a month, covering web analytics, AI referrals and the full crawler report. CLI, MCP and API analytics start at $16 a month.	1,000,000 events a month free, then usage-based.

PostHog details checked against public vendor pages on 2026-08-24. Pricing and features change: check PostHog directly before deciding.

Where PostHog wins

Reasons to choose them instead

Session replay, feature flags, experiments and surveys. BetterMeter has none of these and is not building them.
A free tier a hundred times larger than BetterMeter's.
LLM observability for your own model calls, which BetterMeter does not do.

Where BetterMeter wins

What they do not measure

Anonymous by default, with no person profiles unless you switch identity on.
AI assistants and AI crawlers are named, first-class reports rather than raw referrers and filtered bots.
CLI, MCP and API events are modelled for you instead of being custom events you design and maintain.
Meta ad spend joins to HubSpot deals on click IDs, which is a marketing question PostHog leaves to your warehouse.

Which one should you use?

Pick PostHog if the question is what users do inside your product and you want replay, flags and experiments in one place. Pick BetterMeter if the question is where your traffic comes from in an AI-mediated internet, and if anonymous-by-default is a requirement rather than a setting.

Questions people actually ask

Is PostHog privacy-first like BetterMeter?: PostHog is privacy-conscious and offers a cookieless mode, but identification is central to how product analytics works: person profiles, user journeys and session replay all depend on knowing who did what. BetterMeter starts anonymous and treats identity as something you switch on. Neither default is wrong; they serve different jobs.
Can I use both?: Yes, and the split is natural. PostHog for in-product behaviour, BetterMeter for acquisition, AI traffic, crawlers and the developer-tool surfaces. They are separate SDKs and do not interfere.