battles / Analytics
Crazy Egg vs Dealavo
Crazy Egg ($99/mo/mo, vibe code 6/10) vs Dealavo ($500/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
$500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 9-12 months, due to proxy management, anti-bot evasion, and parser maintenance
price gap / year
$4,812/mo
running both / year
$7,188/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
Dealavo
While the rule-based dynamic repricing math is trivial to code, reliably scraping target competitor sites at scale is not. You are paying for continuous anti-bot evasion, residential proxy rotation, and ongoing maintenance when target DOM structures change.
you can rebuild
- Rule-based dynamic pricing execution engine
- Shopify and WooCommerce catalog integration for price pushes
- Margin guardrails and floor/ceiling price limits
- Email and Slack notifications for competitor price updates
- Historical pricing log visualization dashboard
what you lose
- Managed residential proxy rotation and IP pool maintenance
- Automated CAPTCHA and anti-bot challenge solving
- Automated ML-based product matching without clean GTIN/EAN barcodes
- Dedicated maintenance team repairing scrapers when site HTML changes
- Historical market pricing database covering years of regional domain data
real moats
- Scale of proxy infrastructure and fingerprint spoofing setups
- Continuous operational maintenance of hundreds of individual domain scrapers
- Proprietary product matching models trained on millions of e-commerce listings
open source escape hatches
- Crawlee Apache-2.0
- Scrapy BSD-3-Clause
- Activepieces MIT
Questions people ask
Which is easier to rebuild with AI, Crazy Egg or Dealavo?
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 Dealavo?
Crazy Egg at $99/mo/mo for a typical mid-market store. The gap between the two is about $4,812/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 Dealavo?
Managed residential proxy rotation and IP pool maintenance Automated CAPTCHA and anti-bot challenge solving Automated ML-based product matching without clean GTIN/EAN barcodes
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