battles / Analytics
AppsFlyer vs FullStory
AppsFlyer ($1,500/mo/mo, vibe code 2/10) vs FullStory ($850/mo/mo, vibe code 3/10). FullStory is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$1,500/mo/mo
- MVP
- 1 month
- Full replacement
- Impossible / 24+ months (Requires official MMP certification with Meta, Google, and Apple)
Analytics
$850/mo/mo
- MVP
- 1 week
- Full replacement
- 12-24 months, due to massive DOM storage scale, real-time query engines, and client-side PII masking.
easier to rebuild
get the build prompt →price gap / year
$7,800/mo
running both / year
$28,200/mo
our call
Start with FullStory — highest vibe code, weakest moat.
AppsFlyer
AppsFlyer's core value is its Mobile Measurement Partner (MMP) status with Meta, Google, TikTok, and Snap, along with native SKAdNetwork / Privacy Sandbox implementations. Building a custom event ingestion pipeline is straightforward, but independent developers cannot obtain raw install attribution payloads directly from self-attributing networks.
you can rebuild
- In-app custom event tracking and analytics
- First-party web-to-app referral tracking via custom parameters
- Internal LTV and retention cohort reporting
- Push notification conversion triggers
- Basic user journey visualization
what you lose
- Self-Attributing Network (SAN) integration with Meta, Google, and TikTok
- Apple SKAdNetwork postback decoding and conversion value schemas
- Protect360 real-time mobile ad fraud prevention
- OneLink deferred deep-linking across edge cases (iOS/Android store fallbacks)
- Pre-built cost-aggregation APIs across 10,000+ ad networks
real moats
- Certified MMP (Mobile Measurement Partner) status with Meta, Google, TikTok, and Amazon
- Direct integration with Apple SKAdNetwork and Android Privacy Sandbox frameworks
- Device-level fraud detection dataset processed across billions of active installs
open source escape hatches
- PostHog MIT / ELv2
- Snowplow BDP / Micro Apache-2.0
- Mixpanel Open Source SDKs Apache-2.0
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
- PostHog MIT
- OpenReplay Apache-2.0
- rrweb MIT
Questions people ask
Which is easier to rebuild with AI, AppsFlyer or FullStory?
FullStory. It scores 3/10 on vibe code with a moat of 5/10, so an AI-assisted MVP takes about 1 week and a full replacement about 12-24 months, due to massive DOM storage scale, real-time query engines, and client-side PII masking..
Which one costs less, AppsFlyer or FullStory?
FullStory at $850/mo/mo for a typical mid-market store. The gap between the two is about $7,800/mo a year.
What do I lose if I replace AppsFlyer?
Self-Attributing Network (SAN) integration with Meta, Google, and TikTok Apple SKAdNetwork postback decoding and conversion value schemas Protect360 real-time mobile ad fraud prevention
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
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