battles / Analytics

Convert vs Funnelytics

Convert ($499/mo/mo, vibe code 4/10) vs Funnelytics ($299/mo/mo, vibe code 4/10). Funnelytics is the easier one to rebuild yourself — here is what you lose either way.

Analytics

$499/mo/mo

Vibe code4/10
Moat4/10
MVP
2 weeks
Full replacement
6-12 months, due to anti-flicker edge dispatch, visual editor, and statistical engines
get the build prompt →

Analytics

$299/mo/mo

Vibe code4/10
Moat2/10
MVP
2 weeks
Full replacement
3-6 months, due to high-throughput event ingestion and multi-touch attribution processing.

easier to rebuild

get the build prompt →

price gap / year

$2,400/mo

running both / year

$9,576/mo

our call

Start with Funnelytics — highest vibe code, weakest moat.

Convert

Writing a script that flips a coin and alters CSS is trivial, but building a production A/B testing suite is not. Convert handles ultra-fast edge dispatch without page flicker, sample ratio mismatch alerts, and GDPR-compliant cookieless tracking. Self-building the visual editor and statistical engine is inefficient for non-software vendors.

you can rebuild

  • URL split redirects and query parameter routing
  • Basic custom JavaScript and CSS injection per variant
  • Simple 50/50 traffic allocation algorithms
  • Event streaming to Google Analytics 4
  • Basic device and URL path audience targeting

what you lose

  • Visual point-and-click WYSIWYG DOM editor for non-technical users
  • Sub-50ms anti-flicker edge execution logic
  • Automatic Sample Ratio Mismatch (SRM) detection algorithms
  • Cookieless ePrivacy and GDPR strict compliance frameworks
  • Multi-page cross-session variant persistence without third-party tracking cookies

real moats

  • Sub-50ms global CDN edge dispatch preventing page visual flicker
  • Audited statistical significance and sample ratio mismatch calculation engines
  • Deep privacy architecture for cookieless GDPR and CCPA compliance

open source escape hatches

Funnelytics

The drag-and-drop visual canvas UI can be assembled quickly with modern graph libraries like React Flow. However, reliable event tracking, first-party cookie handling, and real-time multi-touch attribution queries require robust analytics database infrastructure.

you can rebuild

  • Drag-and-drop node canvas for visual funnel mapping
  • Client-side event tracking script for pageviews and custom clicks
  • Visual metric overlays on canvas nodes and directional arrows
  • Step-by-step funnel drop-off percentage calculations
  • UTM parameter building and basic URL tracking tags

what you lose

  • Native API connections to Meta and Google Ads for direct ROAS syncing
  • Turnkey agency sharing capabilities and interactive client preview links
  • Out-of-the-box attribution algorithm toggles (First-Click, Last-Click, Linear)
  • Managed tracking domain setup for Safari ITP compliance
  • Automated data retention and scalable serverless event storage management

real moats

  • Agency workflow lock-in via shareable interactive client reporting links
  • Turnkey API connectors that pull spend data directly from ad networks
  • Polished UX that seamlessly binds unstructured canvas nodes to structured analytics events

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Convert or Funnelytics?

Funnelytics. It scores 4/10 on vibe code with a moat of 2/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 3-6 months, due to high-throughput event ingestion and multi-touch attribution processing..

Which one costs less, Convert or Funnelytics?

Funnelytics at $299/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 Convert?

Visual point-and-click WYSIWYG DOM editor for non-technical users Sub-50ms anti-flicker edge execution logic Automatic Sample Ratio Mismatch (SRM) detection algorithms

What do I lose if I replace Funnelytics?

Native API connections to Meta and Google Ads for direct ROAS syncing Turnkey agency sharing capabilities and interactive client preview links Out-of-the-box attribution algorithm toggles (First-Click, Last-Click, Linear)

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