An attribution number you do not trust is worse than no number, because you spend against it. Paying keeps someone else maintaining the bot filters, the Stripe and Shopify connectors and the retention window while you sell, and at $9 a month that is cheaper than the weekend each quarter you would spend keeping your own version honest.
REPLACEMENT BRIEF
analytics
Can AI replace DataFast?
EDITORIAL ANSWERKINDACurated prompt
Record pageviews with their UTM and referrer channel, bind the anonymous visitor to a customer at signup, then take Stripe webhooks and show revenue per channel.
Build the personal version →AT A GLANCE
- price
- $9/mo
- listed annual price
- $108/yr
- replaceable scope
- Record pageviews with their UTM and referrer channel, bind the anonymous visitor to a customer at signup, then take Stripe webhooks and show revenue per channel.
- build time
- weekend for the dashboard, multi-day to trust the numbers
what AI can build
Record pageviews with their UTM and referrer channel, bind the anonymous visitor to a customer at signup, then take Stripe webhooks and show revenue per channel.
The pageview half of DataFast is the same weekend build as Plausible or Umami. The revenue half is where it stops being a weekend. Attribution is only worth anything if the anonymous visitor who found your launch post on a phone is still recognisably the customer who pays from a laptop three weeks later, and that stitching is exactly what an agent will hand you a naive version of. A localStorage id plus an email match at signup does get you a channel table that is directionally right for a single-domain solo product, which is genuinely worth having. It also quietly under-counts every cross-device path, every privacy browser that clears storage between visits, and every customer who pays with a different address than they signed up with. You can build the dashboard in a weekend. Trusting it enough to move ad spend is the part that keeps costing you weekends.
The prompt was editor-reviewed; no completed build is recorded.
The honest tradeoff
why people still pay
what you lose
xidentity stitching across devices, browsers and cleared storage
xbot and AI-crawler filtering that stays current without you
xone-click installs for Shopify, Webflow, WordPress and 20 other platforms
xthe live visitor feed and purchase-likelihood scoring
xthe hosted MCP server and CLI for querying the data in plain English
Start with existing software
prior art · use these instead of building, if you'd rather
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
evidence level
Curated promptThe prompt was editor-reviewed; no completed build is recorded.
Starter · monthly
known limits · identity stitching across devices, browsers and cleared storage; bot and AI-crawler filtering that stays current without you
Build promptreviewed prompt · not run
the prompt
Curated promptBuild me a revenue attribution dashboard for one site, to replace DataFast. Requirements: - Node + Express + better-sqlite3, one process behind Caddy on my own VPS. Server-rendered pages, no frontend framework, no build step. - A tracker snippet under 2 KB: navigator.sendBeacon sends path, referrer and any utm_* params, keyed to a first-party visitor id in localStorage. No third-party cookies. - Attribution is the whole point. Per visitor store first-touch and last-touch channel, from utm_source/utm_medium/utm_campaign, else by parsing the referrer host into google / x / reddit / hn / direct. Never overwrite first-touch. - An /identify endpoint I call after signup with the user's email, which binds the anonymous visitor id to a customer row. - A Stripe webhook for checkout.session.completed, invoice.paid and customer.subscription.deleted: verify the signature, match on email, write revenue against that visitor. Webhook secret and API key from .env. - Dashboard on localhost behind one bearer token from .env: a channel table with visitors, signups, customers, MRR and revenue per visitor over 7/30/90 days. Tables and one inline SVG bar chart, nothing else. - Drop known bots against a user-agent blocklist before anything is counted. No accounts, no telemetry, one SQLite file I can copy off the box. - Out of scope: cross-device identity stitching, multi-touch models, the live visitor feed, purchase-likelihood scoring, team seats and an MCP server. One domain, single-touch, single-device. - README: the script tag, the /identify call, `stripe listen` for testing webhooks locally, and an honest paragraph on where the numbers lie · a phone-to-laptop journey counts as two visitors, cleared localStorage counts as a new one, and a customer who pays from a different address never matches at all.
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questions
Can AI replace DataFast?
Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: identity stitching across devices, browsers and cleared storage, bot and AI-crawler filtering that stays current without you. Validate the prompt against your own acceptance criteria before committing.
How much does DataFast cost?
DataFast is listed at about $9/month (Starter, checked 2026-08-02), or $108 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing DataFast?
Honestly: identity stitching across devices, browsers and cleared storage; bot and AI-crawler filtering that stays current without you; one-click installs for Shopify, Webflow, WordPress and 20 other platforms; the live visitor feed and purchase-likelihood scoring; the hosted MCP server and CLI for querying the data in plain English. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to DataFast?
Yes — PostHog (Open source and self-hostable, with revenue analytics and channel attribution already built), Plausible (Open source analytics with goals and revenue goals; the Stripe join is still yours to write), Umami (Lightweight self-hosted analytics with UTM tracking and no revenue side at all). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.