Lifetimely vs Causality Engine
Side-by-side comparison of ltv and profit analytics for shopify vs upload your ga4 csv, see what actually works in 5-10 minutes. Updated for 2026.
| Lifetimely | Causality EngineYou are here | |
|---|---|---|
| Starting price | $149/mo | €99 one-time |
| Pricing model | Tiered by order volume | €99 one-time or €299/mo Pro |
| Methodology | Cohort analysis + LTV prediction | causal inference |
| Setup time | 15 minutes | 5–10 minutes (GA4 CSV upload) |
| Pixel required? | No | No |
| Measures incrementality? | No | Yes, causal inference |
| iOS 14.5+ resilient? | Partial | Yes, aggregate data |
| Developer required? | No | No |
| Contract required? | Often | No, cancel anytime |
| Time to first insight | 15 minutes | Minutes |
| Best for | Understanding customer lifetime value and profit margins | Any ecommerce brand using GA4, frustrated with platform-reported attribution |
See the difference on your own data
Upload your GA4 CSV · 5–10 min insights · €99 · Full refund
Where Lifetimely falls short
- LTV/profit only, no channel attribution
- Can't tell you WHICH channels drive high-LTV customers
- Descriptive not prescriptive
- No causal measurement
Why brands choose Causality Engine instead
- Shows which channels drive revenue AND which drive high-LTV customers
- Causal inference proves channel impact
- Prescriptive budget recommendations
- Complements LTV tools
Try it risk-free for €99
One-time analysis. No subscription. See your true channel-level ROAS in minutes. Full refund if you don't see the value.
“We discovered 34% of our revenue was hidden by last-click. CE found it in minutes.”
Maarten V., OFFFTRACK
“€47K/month our dashboards never showed. We reallocated budget the same week.”
Simone K., The Two Sisters
Last-click guesses.We run the math.
Causal attribution for Shopify brands. Upload your GA4 export, see which channels really drove revenue in 5–10 minutes. €99, pay-per-use. Pro at €299/mo when you want it continuous.
The math behind your marketing.
Built for Ecommerce brands using GA4.
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