ecomrestack

battles / Analytics

Crazy Egg vs Shoplift

Crazy Egg ($99/mo/mo, vibe code 6/10) vs Shoplift ($299/mo/mo, vibe code 6/10). Shoplift is the easier one to rebuild yourself — here is what you lose either way.

Crazy Egg
NICHE

Analytics

$99/mo/mo

Vibe code6/10
Moat2/10
MVP
1 weekend
Full replacement
1-2 months, due to event ingestion scaling and DOM replay PII scrubbing
get the build prompt →
Shoplift
NICHE

Analytics

$299/mo/mo

Vibe code6/10
Moat1/10
MVP
1 week
Full replacement
3-6 months, primarily to replicate the point-and-click visual theme editor and prevent Cumulative Layout Shift (CLS)

easier to rebuild

get the build prompt →

price gap / year

$2,400/mo

running both / year

$4,776/mo

our call

Start with Shoplift — 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

Shoplift

If your team has developers, Shoplift is largely redundant; you can split test Liquid sections via Cloudflare Workers or simple Shopify Theme App Extensions in days. However, building an arbitrary point-and-click visual editor for non-technical marketers requires substantial engineering effort.

you can rebuild

  • 50/50 traffic splitting between page templates or Liquid sections
  • Client-side event tracking for adds-to-cart and conversions
  • Bayesian probability calculation for winning variants
  • Revenue per visitor (RPV) and Conversion Rate (CR) analytics dashboard
  • Session assignment persistence using cookies or local storage

what you lose

  • No-code visual section editor for non-technical team members
  • Pre-built Shopify Theme App Extension automated DOM injection
  • Out-of-the-box protection against Cumulative Layout Shift (CLS) during client-side variant rendering
  • Automated statistical confidence stop-rules and multi-armed bandit routing
  • Turnkey integration with Shopify Checkout webhooks for conversion attribution

real moats

  • WYSIWYG visual editing engine integrated with Shopify Liquid block structures
  • Zero-flicker script load optimization across global CDN edge locations
  • Historical test data bank for benchmark comparative analytics

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Crazy Egg or Shoplift?

Shoplift. It scores 6/10 on vibe code with a moat of 1/10, so an AI-assisted MVP takes about 1 week and a full replacement about 3-6 months, primarily to replicate the point-and-click visual theme editor and prevent Cumulative Layout Shift (CLS).

Which one costs less, Crazy Egg or Shoplift?

Crazy Egg at $99/mo/mo for a typical mid-market store. The gap between the two is about $2,400/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 Shoplift?

No-code visual section editor for non-technical team members Pre-built Shopify Theme App Extension automated DOM injection Out-of-the-box protection against Cumulative Layout Shift (CLS) during client-side variant rendering

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