ecomrestack

battles / Analytics

FullStory vs Helium 10

FullStory ($850/mo/mo, vibe code 3/10) vs Helium 10 ($99/mo/mo, vibe code 3/10). Helium 10 is the easier one to rebuild yourself — here is what you lose either way.

FullStory
KEEP

Analytics

$850/mo/mo

Vibe code3/10
Moat5/10
MVP
1 week
Full replacement
12-24 months, due to massive DOM storage scale, real-time query engines, and client-side PII masking.
get the build prompt →
Helium 10
KEEP

Analytics

$99/mo/mo

Vibe code3/10
Moat4/10
MVP
2 weeks
Full replacement
9-18 months, due to scraping infrastructure and historical dataset requirements

easier to rebuild

get the build prompt →

price gap / year

$9,012/mo

running both / year

$11,388/mo

our call

Start with Helium 10 — highest vibe code, weakest moat.

FullStory

Wrapping rrweb into a web app takes a few days, but storing millions of DOM diffs without killing client performance or ballooning cloud database bills requires serious infrastructure engineering. Client-side PII masking, SOC2 compliance, and fast event indexing cannot be prompt-engineered.

you can rebuild

  • Client-side DOM event and mutation recording
  • Basic session replay video playback
  • Console logs and network request capturing
  • Simple click and scroll heatmaps
  • Basic funnel step tracking

what you lose

  • Automated client-side PII and sensitive input field masking before data transmission
  • Instant retroactive search over unindexed DOM text and element CSS selectors
  • Frustration heuristics like rage clicks, dead clicks, and error clicks
  • Enterprise compliance certifications including SOC2 Type II, HIPAA, and GDPR tooling
  • High-throughput event ingestion infrastructure optimized for gigabytes of raw DOM diffs

real moats

  • Patented client-side DOM capture and event compression engine
  • Proprietary retroactive search index over raw DOM mutation streams
  • SOC2 Type II, HIPAA, and strict client-side PII masking guarantees

open source escape hatches

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

Questions people ask

Which is easier to rebuild with AI, FullStory or Helium 10?

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, FullStory or Helium 10?

Helium 10 at $99/mo/mo for a typical mid-market store. The gap between the two is about $9,012/mo a year.

What do I lose if I replace FullStory?

Automated client-side PII and sensitive input field masking before data transmission Instant retroactive search over unindexed DOM text and element CSS selectors Frustration heuristics like rage clicks, dead clicks, and error clicks

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)

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