battles / Analytics
Crazy Egg vs DataFast
Crazy Egg ($99/mo/mo, vibe code 6/10) vs DataFast ($9/mo/mo, vibe code 6/10). Crazy Egg is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$99/mo/mo
- MVP
- 1 weekend
- Full replacement
- 1-2 months, due to event ingestion scaling and DOM replay PII scrubbing
easier to rebuild
get the build prompt →Analytics
$9/mo/mo
- MVP
- weekend for the dashboard, multi-day to trust the numbers
- Full replacement
- weeks, not days
price gap / year
$1,080/mo
running both / year
$1,296/mo
our call
Start with Crazy Egg — highest vibe code, weakest moat.
Crazy Egg
Client-side click tracking, scroll maps, and DOM-based A/B testing can be built in a weekend. Session recording is fully handled by open-source libraries like rrweb. Storage optimization and PII scrubbing require standard backend work, but zero proprietary tech exists.
you can rebuild
- Click and scroll heatmap canvas overlays
- Client-side A/B testing DOM manipulation script
- User session recording via open-source DOM mutation capture
- Basic conversion goal tracking and funnel steps
- Visual snapshot element click-breakdown table
what you lose
- Managed high-throughput event ingestion pipelines
- Automatic PII field masking algorithms in DOM replays
- Zero-maintenance infrastructure for multi-gigabyte session storage
- Historical analytics retention without self-managed database costs
- Out-of-the-box Shopify app store one-click script insertion
real moats
- None. It is a utility SaaS with low switching costs and no proprietary data networks.
open source escape hatches
- PostHog Open Source MIT
- Matomo GPL-3.0
- 66analytics Extended
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
Questions people ask
Which is easier to rebuild with AI, Crazy Egg or DataFast?
Crazy Egg. It scores 6/10 on vibe code with a moat of 2/10, so an AI-assisted MVP takes about 1 weekend and a full replacement about 1-2 months, due to event ingestion scaling and DOM replay PII scrubbing.
Which one costs less, Crazy Egg or DataFast?
DataFast at $9/mo/mo for a typical mid-market store. The gap between the two is about $1,080/mo a year.
What do I lose if I replace Crazy Egg?
Managed high-throughput event ingestion pipelines Automatic PII field masking algorithms in DOM replays Zero-maintenance infrastructure for multi-gigabyte session storage
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
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