# DataFast

Canonical: https://inetgeek.com/analytics/datafast/

Revenue-first website analytics that connects a payment provider per site and attributes revenue to marketing channels, priced by monthly events.

## Who it suits

Tying revenue back to the channel that produced it. DataFast connects a payment provider per website and reports revenue per visitor rather than pageviews alone, which is a different question from the one the rest of this category answers.

Consider something else if You need to know the price before signing up. The pricing block lists what each plan contains and never renders the figure — it prints an empty amount and a literal NaN — so the only way to learn the cost is to start the trial.

## What the documentation says

### Pricing

- Free tier: No ([source](https://datafa.st/), read 2026-09-15)
- Kind of free offer: Free trial ([source](https://datafa.st/), read 2026-09-15)
- What the free plan includes: Nothing standing — the only free access is a 14-day trial with no card. The entry Starter tier, once paid for, lists 10,000 monthly events, one website, one team member and three years of data retention. ([source](https://datafa.st/), read 2026-09-15)
- Entry paid plan: Not readable. The pricing block renders its plan contents in full and then prints "$ /month" with an empty figure and "Save $NaN" — in a headless browser, after twenty seconds, on every extraction tier this site has. ([source](https://datafa.st/), read 2026-09-15)
- Pricing model: Traffic-based plans metered in monthly events rather than pageviews, from 10,000 to over 10 million, monthly or yearly with two months free on yearly. ([source](https://datafa.st/), read 2026-09-15)

### Limits

- Sites or apps included: One website and one team member on Starter, the entry tier. Growth raises both to 30. ([source](https://datafa.st/), read 2026-09-15)

### Observability

- Retention window: Three years of data retention on Starter, the entry tier; five or more on Growth. ([source](https://datafa.st/), read 2026-09-15)

## Compared with

- [DataFast vs Plausible Analytics](https://inetgeek.com/compare/plausible-vs-datafast/)
- [DataFast vs Simple Analytics](https://inetgeek.com/compare/datafast-vs-simple-analytics/)