Causality Engine vs Appsflyer: Honest Comparison for eCommerce
AppsFlyer is a mobile measurement partner for app marketers, with SDK-based install and in-app attribution. Causality Engine is a €99 causal read on your GA4 export that shows what each channel caused for an online store.
€99 once, excl. VAT. Full refund within 30 days, no questions asked. You keep the read.
By Joris van Huët, Founder & CEOUpdated 5 min read
Causality Engine vs Appsflyer: Honest Comparison for eCommerce
AppsFlyer is a mobile measurement partner (MMP): an SDK in your app attributes installs and in-app events, with a limited free tier and custom enterprise pricing (appsflyer.com/pricing, as read on 2026-09-08). Causality Engine is a €99 causal read on the GA4 export of an online store, showing what each channel caused next to what last-click gave it. If you market an app, AppsFlyer is built for it; if you sell through a web store, the read is.
For Shopify brands in beauty, fashion, supplements or any other category, the choice comes down to what you sell through. AppsFlyer is built for mobile app marketers and gaming companies, and setting it up means an SDK integration that typically takes one to two weeks. It is not built for ecommerce revenue attribution on the web. Causality Engine needs no SDK or pixel: it runs causal inference on your GA4 export to show which channels cause revenue and which only collect credit, which is what budget allocation needs.
Key Differences
| Feature | Causality Engine | AppsFlyer |
|---|---|---|
| Core Function | Causal attribution for an online store | Mobile attribution and marketing analytics |
| Method | Proprietary causal inference on a GA4 export | Mobile measurement partner (MMP) attribution |
| Measures | What each channel caused, next to what last-click gave it | App installs and in-app events |
| Setup | Upload a GA4 export; no SDK or pixel | SDK integration, typically 1–2 weeks |
| Ideal For | Online stores with a GA4 export | Mobile app marketers and gaming companies |
| Pricing | €99 one-time, or €299/month for Pro | Free tier (limited); custom enterprise pricing |
AppsFlyer's pricing as read on its pricing page on 2026-09-08 (appsflyer.com/pricing); check it before relying on it.
When to Choose Causality Engine
Choose Causality Engine if you sell through a web store tracked by GA4 and your question is where marketing budget should go. It answers questions like:
"Is my marketing budget going to the channels that actually cause sales?"
"Which channels get more credit under last click than they cause?"
"Where should I test a budget change first?"
It works at the channel level from a GA4 export, with no SDK, for €99 once. To learn more about the method, see our guide to causal attribution.
When to Choose AppsFlyer
Choose AppsFlyer if you market a mobile app: it is a mobile measurement partner built for app marketers and gaming companies, attributing installs and in-app events through its SDK. If your main priority is one source of truth for your mobile marketing data, and you can take on an SDK integration, AppsFlyer is the better fit; marketing attribution for a web store is a different job.
Pricing Comparison
Causality Engine costs €99 once for a read on a GA4 export (the read is refundable within 30 days, no questions asked), or €299/month for Pro, billed monthly, with a lifetime data look-back and AI chat across your attribution history. There is no minimum spend or revenue.
AppsFlyer has a limited free tier, and its paid plans are priced on a custom basis (appsflyer.com/pricing, as read on 2026-09-08). The full table of the tools we track carries each vendor's source page and read date.
Conclusion
The two are built for different jobs. AppsFlyer measures app installs and in-app events for app marketers; Causality Engine reads what each channel caused for an online store from a GA4 export. If you run both an app and a store, they don't overlap.
FAQs
1. Can I use Causality Engine if I have a mobile app?
Yes, for the web side: a read works on your GA4 export's channel groups, so it covers the marketing that sends traffic to your store. It is not a mobile attribution platform like AppsFlyer and doesn't attribute app installs.
2. Does Causality Engine offer the same level of data integration as AppsFlyer?
No. The read runs on a GA4 export; direct connections to Shopify, Meta, Google and TikTok are on the roadmap, not live. AppsFlyer, as a mobile measurement partner, collects its data through its SDK; Facebook Ads traffic to your store shows up in the read under Paid Social.
3. What is the main advantage of causal inference over the attribution models used by AppsFlyer?
The attribution models used by AppsFlyer are based on correlation, which can be misleading. Causal inference, on the other hand, can distinguish between correlation and causation, giving you a much more accurate picture of what is actually driving your results.
Related Resources
Causality Engine vs Adjust: Honest Comparison for ecommerce
Causality Engine vs Adverity: Honest Comparison for ecommerce
Causality Engine vs Agency Analytics: Honest Comparison for ecommerce
Causality Engine vs Heap Analytics: Honest Comparison for ecommerce
Causality Engine vs Neustar: Honest Comparison for ecommerce
Frequently asked questions
Can I use Causality Engine if I have a mobile app?
Yes, for the web side: a read works on your GA4 export's channel groups, so it covers the marketing that sends traffic to your store. It is not a mobile attribution platform like AppsFlyer and doesn't attribute app installs.Does Causality Engine offer the same level of data integration as AppsFlyer?
No. The read runs on a GA4 export; direct connections to Shopify, Meta, Google and TikTok are on the roadmap, not live. AppsFlyer, as a mobile measurement partner, collects its data through its SDK.What is the main advantage of causal inference over the attribution models used by AppsFlyer?
The attribution models used by AppsFlyer are based on correlation, which can be misleading. Causal inference, on the other hand, can distinguish between correlation and causation, giving you a much more accurate picture of what is actually driving your results.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
Have an audience of ecommerce operators? Earn 20% recurring commission by recommending the €99 read.
Keep reading
Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Attribution ModelAn Attribution Model defines how credit for conversions is assigned to marketing touchpoints. It dictates how marketing channels receive credit for sales.
- Attribution PlatformAttribution Platform is a software tool that connects marketing activities to customer actions. It tracks touchpoints across channels to measure campaign impact.
- Causal AttributionCausal Attribution uses causal inference to determine which marketing touchpoints genuinely cause conversions, not just correlate with them.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- Facebook AdsFacebook Ads are paid advertisements appearing on Facebook and Instagram. Businesses use them to target specific audiences based on demographics and interests.
- Marketing AnalyticsMarketing analytics measures, manages, and analyzes marketing performance to improve effectiveness and ROI. It tracks data from various marketing channels to evaluate campaign success.
- Marketing AttributionMarketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.