Analytics and monitoring decision

Usermaven

A capable engineer can build a usable subset (event collection, identity stitching, attribution, simple dashboards) over several weeks, but reproducing the full product (AI insights, polished ad/CRM syncs, white-label enterprise features, ad-blocker bypass and scale) is larger work and likely not worth reimplementing for teams that need those features now.

Visit website
You pay

$84/mo

$1,008/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$100/mo10 h/mo upkeep

On cash alone, building overtakes the subscription at 2 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Usermaven alternatives, with the arithmetic →

What a replacement has to do

  • Collect page and event data, stitch sessions into users, compute multi-touch attribution, and present dashboards of funnels/journeys

What it still won’t have

  • Maven AI — AI-powered automated insights and summaries
  • Built-in ad-platform conversion sync and CRM connectors (HubSpot, Google Ads, Meta)
  • White-label and enterprise features (private-cloud, SSO, audit logs)
  • Ad-blocker bypass / plug-and-play server-side tracking polish
  • Prebuilt dashboards, reports, and guided setup services

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted minimal analytics stack in Node.js + Postgres (or ClickHouse) + React. Scope: implement a client tracking JS snippet, a server-side collector endpoint that persists events, a nightly job to run identity stitching (cookie id, optional CRM email import), a simple multi-touch attribution computation over a 365-day lookback, and a React dashboard with basic funnels, top channels by attributed revenue, and event search. Out of scope: white-labeling, managed CRM/ad-platform connectors, advanced AI insights. Include input validation, error handling, logs, automated tests for ingestion and attribution logic, and deployment Dockerfiles plus a small DigitalOcean/AWS cost estimate.
How we checked5 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded