Measurement & Logic
Prove the value.
Not just the clicks.
Move beyond "Last Click". Skubl uses causal inference and econometric modeling to measure the true incremental impact of every marketing dollar.
+18.4%
Incremental Lift
Control Group
+Lift
Test Group
Confidence: 98%
p-value: 0.02
Measurement Integrations
Google Ads
Meta Ads
Snowflake
BigQuery
Shopify
Segment
Capabilities
Scientific marketing.
Skubl provides the rigorous statistical framework your data team needs, with the intuitive interface your marketing team wants.
Incrementality Testing
Run geo-lift and holdout tests to prove causality. Know exactly how much revenue would disappear if you turned off a channel—removing the bias of ad platform reporting.
- Geo-Lift Experiments
- User-Level Holdouts
- Ghost Ads Methodology
Analytics Accelerators
Pre-built templates to speed up your measurement strategy.
ExperimentationPython
Geo-Lift Template
Standardized Python model for regional holdout tests.
EconometricsExcel
MMM Starter Kit
Lightweight media mix model for brands <$10M revenue.
ReportingAudit
Attribution Window Audit
Compare 1-day vs 7-day vs 28-day click windows.
IntegrationRetail
Offline Conversion Import
Pipeline to sync POS data to Google Ads & Meta.
