battles / Analytics
Helium 10 vs Kochava
Helium 10 ($99/mo/mo, vibe code 3/10) vs Kochava ($1,500/mo/mo, vibe code 3/10). Helium 10 is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$99/mo/mo
- MVP
- 2 weeks
- Full replacement
- 9-18 months, due to scraping infrastructure and historical dataset requirements
easier to rebuild
get the build prompt →Analytics
$1,500/mo/mo
- MVP
- 3 weeks
- Full replacement
- 18+ months, limited by MMP network certifications
price gap / year
$16,812/mo
running both / year
$19,188/mo
our call
Start with Helium 10 — highest vibe code, weakest moat.
Helium 10
While building a dashboard to track your own sales via Amazon's SP-API is a weekend project, Helium 10's real value lies in its proprietary keyword search volume estimates and historical rank tracking across millions of ASINs. You can clone the UI, but you cannot easily clone years of continuous marketplace scraping data.
you can rebuild
- Seller Central sales and net profit analytics via SP-API
- Automated Amazon PPC bid management scripts
- Inventory reorder notifications and velocity tracking
- AI-assisted Amazon listing title and bullet point generator
- Automated customer review request email sequences
what you lose
- Historical search volume data for millions of Amazon search queries
- Reverse ASIN lookup (Cerebro) identifying competitor search term distribution
- Marketplace-wide product database filter engine (Black Box)
- Real-time search rank tracking against thousands of competitor ASINs
- Chrome Extension overlay for live Amazon SERP sales estimations
real moats
- Multi-year historical database of Amazon keyword search volumes and ASIN rank histories
- Distributed proxy infrastructure required for continuous anti-bot Amazon SERP scraping
- Proprietary estimation algorithms mapping Amazon BSR (Best Sellers Rank) to unit sales volume
open source escape hatches
- python-amazon-sp-api MIT
- Metabase AGPL-3.0
- Crawl4AI Apache-2.0
Kochava
Kochava's underlying event tracking and attribution logic are straightforward to code, but you cannot replicate its Mobile Measurement Partner (MMP) status. Major ad networks like Meta, Google, and Apple only transmit fine-grained install attribution data to certified MMPs.
you can rebuild
- Custom rule-based attribution modeling (last-touch, first-touch, multi-touch)
- Raw event ingestion and client-side event payload validation
- Cohort retention and customer lifetime value (LTV) dashboarding
- UTM and custom referral link parameter parser engine
- Data warehouse exporter to Snowflake or BigQuery
what you lose
- Official MMP status with Meta, Google, TikTok, and Snap for SAN data access
- Cryptographically validated Apple SKAdNetwork / AdAttributionKit decoding pipeline
- SmartLinks cross-platform dynamic deep linking framework for iOS Universal Links and Android App Links
- Real-time SDK spoofing and ad click-flooding fraud detection algorithms
- Pre-configured server-to-server postbacks to thousands of ad networks
real moats
- Official MMP partner accreditation with Self-Attributing Networks (SANs)
- Device footprint and proprietary identity resolution graphs
- Widespread mobile SDK deployment across thousands of high-profile apps
open source escape hatches
- PostHog MIT
- RudderStack AGPL-3.0
- Snowplow Analytics Apache-2.0
Questions people ask
Which is easier to rebuild with AI, Helium 10 or Kochava?
Helium 10. It scores 3/10 on vibe code with a moat of 4/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 9-18 months, due to scraping infrastructure and historical dataset requirements.
Which one costs less, Helium 10 or Kochava?
Helium 10 at $99/mo/mo for a typical mid-market store. The gap between the two is about $16,812/mo a year.
What do I lose if I replace Helium 10?
Historical search volume data for millions of Amazon search queries Reverse ASIN lookup (Cerebro) identifying competitor search term distribution Marketplace-wide product database filter engine (Black Box)
What do I lose if I replace Kochava?
Official MMP status with Meta, Google, TikTok, and Snap for SAN data access Cryptographically validated Apple SKAdNetwork / AdAttributionKit decoding pipeline SmartLinks cross-platform dynamic deep linking framework for iOS Universal Links and Android App Links
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