battles / Analytics
DataFast vs Google Analytics 4
DataFast ($9/mo/mo, vibe code 6/10) vs Google Analytics 4 (usage-based/mo, vibe code 6/10). DataFast is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$9/mo/mo
- MVP
- weekend for the dashboard, multi-day to trust the numbers
- Full replacement
- weeks, not days
easier to rebuild
get the build prompt →Analytics
usage-based/mo
- MVP
- 1-2 weeks
- Full replacement
- 12-18 months
price gap / year
$108/mo
running both / year
$108/mo
our call
Start with DataFast — highest vibe code, weakest moat.
DataFast
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.
you can rebuild
- 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.
what you lose
- 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
real moats
- integrations
- scale-infra
- execution-polish
Google Analytics 4
You can easily build a first-party event tracking script and ClickHouse analytical dashboard that outperforms GA4 in reporting speed and data accuracy. However, you cannot replicate GA4's native identity resolution (Google Signals) or its seamless feedback loop into Google Ads smart bidding strategies.
you can rebuild
- Client-side JavaScript event tracking and session measurement.
- E-commerce conversion funnels (View Product -> Add to Cart -> Checkout -> Purchase).
- Traffic source, UTM campaign, and referrer reporting dashboards.
- Raw event data export to BigQuery or custom data warehouses.
- Custom event dimensions, metrics, and event trigger definitions.
what you lose
- Automatic synchronization of converted audiences directly into Google Ads for retargeting.
- Deterministic cross-device tracking via logged-in Google user accounts (Google Signals).
- Free server-side hosting for billions of hits subsidized by an ad ecosystem.
- Native integration with Google Search Console keyword impression reports.
- Standardized industry familiarity—every agency, freelancer, and marketer already knows the GA4 schema.
real moats
- Google Ads integration: direct automated audience seeding and smart-bidding feedback loops.
- Google Signals: cross-device deterministic identity matching across logged-in Google accounts.
- Zero infrastructure cost for high-volume collection (subsidized by Google's ad business).
Questions people ask
Which is easier to rebuild with AI, DataFast or Google Analytics 4?
DataFast. It scores 6/10 on vibe code with a moat of 7/10, so an AI-assisted MVP takes about weekend for the dashboard, multi-day to trust the numbers and a full replacement about weeks, not days.
Which one costs less, DataFast or Google Analytics 4?
Google Analytics 4 at usage-based/mo for a typical mid-market store. The gap between the two is about $108/mo a year.
What do I lose if I replace DataFast?
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
What do I lose if I replace Google Analytics 4?
Automatic synchronization of converted audiences directly into Google Ads for retargeting. Deterministic cross-device tracking via logged-in Google user accounts (Google Signals). Free server-side hosting for billions of hits subsidized by an ad ecosystem.
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