battles / Analytics
Elevar vs Supermetrics
Elevar ($150/mo/mo, vibe code 5/10) vs Supermetrics ($350/mo/mo, vibe code 5/10). Supermetrics is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$150/mo/mo
- MVP
- 6-10 weeks
- Full replacement
- 18+ months
Analytics
$350/mo/mo
- MVP
- 3-5 days
- Full replacement
- 6-12 months, due to continuous API maintenance across 100+ channels
easier to rebuild
get the build prompt →price gap / year
$2,400/mo
running both / year
$6,000/mo
our call
Start with Supermetrics — highest vibe code, weakest moat.
Elevar
Server-side tracking that survives ad platform changes.
you can rebuild
- first-party event tracking
- funnel and cohort views
- UTM attribution
- dashboards
what you lose
- server-side ad platform connectors
- identity resolution across devices
- benchmark data
- attribution model research
real moats
- ad-platform API partnerships
- cross-merchant benchmarks
- attribution modelling research
Supermetrics
Supermetrics is essentially a collection of managed API wrappers and ELT cron jobs. Building a custom script to sync 2 specific channels (e.g. Meta Ads to BigQuery) takes a weekend, but maintaining normalized schemas across dozens of rapidly changing third-party ad APIs is an endless game of whack-a-mole.
you can rebuild
- Scheduled daily Meta Ads and Google Ads metric extractions
- Shopify sales and order data ingestion into BigQuery or Postgres
- Calculation of custom cross-channel CAC and ROAS metrics
- Automated OAuth token refresh handling for primary platforms
- Data export to Google Sheets via Google Sheets API
what you lose
- Zero-maintenance handling of third-party API deprecations and breaking changes
- Native Google Sheets and Excel sidebar add-ins for non-technical users
- Pre-built report templates for Looker Studio, PowerBI, and Tableau
- Turnkey connector ecosystem for 100+ niche ad and analytics platforms
- Automated historical data backfill utility across all connected sources
real moats
- Dedicated engineering resources tracking continuous third-party API changes
- Deeply embedded spreadsheet add-ins and Looker Studio native connectors
- Pre-configured data normalization schemas across competing ad platforms
open source escape hatches
- Airbyte ELv2 / MIT
- dlt (Data Load Tool) Apache-2.0
- Meltano MIT
Questions people ask
Which is easier to rebuild with AI, Elevar or Supermetrics?
Supermetrics. It scores 5/10 on vibe code with a moat of 3/10, so an AI-assisted MVP takes about 3-5 days and a full replacement about 6-12 months, due to continuous API maintenance across 100+ channels.
Which one costs less, Elevar or Supermetrics?
Elevar at $150/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 Elevar?
server-side ad platform connectors identity resolution across devices benchmark data
What do I lose if I replace Supermetrics?
Zero-maintenance handling of third-party API deprecations and breaking changes Native Google Sheets and Excel sidebar add-ins for non-technical users Pre-built report templates for Looker Studio, PowerBI, and Tableau
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