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Who it is for

Product analytics for founders who do not want a tracking team

You shipped a signup flow. You need to know which step died. You do not need Google Analytics explorations, a tag-manager project, or a product OS.

Standard $19/mo · 1M events · 5 apps

One product, a few conversion steps, and nobody whose job title is “analytics.” Mark goals in HTML. Read the funnel. Free until you outgrow the Free quota.

The question GA4 never answers quickly

Founders ask: people hit pricing, then what? GA4 answers sessions, engagement rate, and ads-shaped reports. EventDash records a 3–4 step funnel from an 11 KB cookieless script. Mark signup with data-ed-goal. See drop-off. That is the whole product for a one-person team.

HTML attributes instead of a tracking ticket

You do not need GTM to track a button. Add data-ed-goal="signup_clicked" on the element. Designers can ship a conversion without a ticket to engineering. Custom events and the JavaScript SDK still exist when you outgrow attributes.

What this is not

Not a pageview widget (keep Plausible or Fathom if traffic is the only job). Not PostHog or Mixpanel if you already live in replay, flags, or cohort boards. Not a Google Ads measurement suite. EventDash sits in the middle: product steps, no cookies, $19 when you exceed the free 100k events.

Questions

Do I need Google Tag Manager?

No for many click conversions. Install the tracker, mark buttons with data-ed-goal. Scroll uses data-ed-scroll. Events beyond that use the JavaScript SDK.

Is the free plan enough to start?

100k events/month, 1 app, no card. That covers an early landing and signup flow. Standard is $19/month for 1M events when you outgrow it.

Will this replace GA4 for ads?

No. EventDash answers product drop-off on your own site. Google Ads attribution still lives on GA4 or an ads pixel.

Can I ask the numbers from Cursor?

Yes. Connect read-only MCP with an edt_ or edr_ token. Tracking keys in the script cannot read analytics. Long version: /blog/ask-analytics-from-cursor.

Related: vs Google Analytics · vs Plausible · vs PostHog · glossary