DataFast

Good fit if…

• ✓Indie hackers and solo founders shipping on Stripe, Lemon Squeezy, Polar, Paddle, or Shopify
• ✓Teams optimizing paid and organic channels against revenue per visitor
• ✓Multi-project operators who want one dashboard for several small sites (Growth plan)
• ✓Privacy-conscious teams that want lightweight web analytics without a GA4-style stack

Consider other analytics tools if…

• −Enterprises needing SSO, audit logs, warehouse export, or advanced access controls
• −Product teams that need session replay, heatmaps, or feature-flag-driven experimentation
• −Content sites with no payment flow — Plausible or Fathom cover traffic analytics more simply
• −Teams that cannot add payment-metadata wiring (Stripe Checkout metadata or Payment API calls)

DataFast's core value is joining website visits to completed payments. On first visit, the script sets first-party cookies (datafast_visitor_id, datafast_session_id). When a customer pays, those IDs must reach your payment provider — typically via Stripe Checkout or PaymentIntent metadata — so DataFast can match revenue to referrer, campaign, and landing page.

Supported processors include Stripe, Lemon Squeezy, Polar, Paddle, Shopify, and WooCommerce, plus a Payment API for custom stacks. Connected providers sync automatically; custom flows require a server-side POST when payment succeeds.

This depends on correct metadata wiring and cookies surviving through checkout. One-off payments and short attribution windows are well supported; complex B2B sales cycles with offline closes are a weaker fit.

Beyond revenue, DataFast covers standard web analytics: pageviews, referrers, devices, countries, and realtime visitors. You can define goals and funnels to see where visitors drop off before payment.

Compared with GA4, reporting depth is intentionally narrower — fewer dimensions, no BigQuery export, no ad-platform native integrations. Compared with Plausible, you get revenue-aware channel reports that privacy-first tools do not offer out of the box.

If your primary question is "which blog post led to sales this week?", DataFast answers it directly. If your question is "how do power users navigate our app?", look at product analytics tools instead.

DataFast markets a privacy-friendly posture: no third-party ad cookies, no cross-site tracking network, and GDPR-oriented documentation. Revenue attribution still relies on first-party cookies to link visitors to payments — so you may still need consent messaging depending on jurisdiction and counsel's interpretation.

Data is not self-hostable. Retention is 3 years on Starter and 5+ years on Growth per vendor plan pages. For strict data-residency or air-gapped requirements, consider Matomo self-hosted instead.

Plans combine a base subscription with event-volume tiers. Starter is $9/month (10K events, 1 site, 1 seat); Growth is $19/month (10K events, up to 30 sites, 30 seats, extended retention). Higher event bands scale to $299/month at 10M events per our directory data.

Events include pageviews and tracked custom events — heavy event instrumentation increases cost faster than pageview-only analytics. A 14-day free trial (no card required per vendor) lowers evaluation risk.

Use our pricing calculator with pageviews + custom events to estimate your band.

Typical setup (Stripe SaaS):

1. Add the DataFast script to your marketing site or app shell.
2. Connect Stripe (or another supported processor) in the DataFast dashboard.
3. Pass datafast_visitor_id and datafast_session_id into Stripe Checkout or PaymentIntent metadata on your backend.
4. Confirm a test payment appears with referrer and channel data in the dashboard.

Expect 1–2 hours for a standard Next.js + Stripe Checkout stack if you read the docs first. No webhook is required for basic Stripe metadata pass-through — DataFast pulls from the processor API.

Common pitfalls: metadata not forwarded on custom checkout flows, cookies blocked before payment on a different subdomain, and counting custom product events that inflate tier usage.

• −Revenue attribution requires developer work (metadata or Payment API) — not plug-and-play like dropping in GA4 alone.
• −First-party cookies are required for attribution; cookieless positioning applies to third-party tracking, not the attribution flow itself.
• −No session replay, heatmaps, or A/B testing — pair with Hotjar or PostHog if you need behavior tooling.
• −Cloud-only — no self-hosted deployment.
• −Script performance benchmark not yet published on AnalyticsVS.