AI analytics built for ecommerce - have a conversation with your data. Applied science for measurement, analytics, and action.
Explore the AI analytics suite for ecommerce and marketing measurement.
Your Attribution Is
Misleading You
Every platform claims credit for your sales. Underneath the dashboards, your decisions are built on incomplete - and often contradictory - data.
Broken Tracking
Cookie loss, iOS privacy changes, ad blockers, and opt-outs mean up to 40% of conversions go completely untracked in your attribution tools.
Platforms Overcount
Meta, TikTok, and Google all use modelled conversion estimates - and they're all claiming credit for the same sale.
Siloed Data
Tracking only sees what it's plugged into. Seasonality, competitor activity, and inventory effects stay invisible to most tools.
Decisions Made Blind
Without a holistic view, even the best teams are allocating budgets on gut feel disguised as data. The risk compounds every quarter.
Ad platforms predict conversions with only their slice of data. Causal Lift models your entire business reality - then forecasts what happens next.
Simple Interface.
Spectacular Science.
Deliberately simple to use. Underneath, your data is analysed thousands of times to build a model that is uniquely yours.
Connect
Plug in your Shopify store, marketing channels, and supporting signals in minutes. Requires 2+ years of trading history.
Train
Secure AI processes your full history - seasonality, holidays, inventory, share of voice, and promotions, over thousands of iterations.
Model
State-of-the-art models attribute 100% of revenue, predict customer value, and forecast demand - built per business, not off the shelf.
Optimise
Get incremental ROAS per channel and a forward view of revenue. Make confident budget calls and scale what works.
Your data stays yours. The AI runs entirely on your business data in an isolated environment. Nothing is ever shared with third parties or used to train shared models.
One Suite.
Every Growth Decision.
Attribution is the core. But Causal Lift brings prediction, forecasting, and testing into one place - continuously learning from your data and tuned to your business.
Marketing Mix Modelling
Separate models for total revenue, orders, and new-customer acquisition. Understand which channels grow your customer base versus which just retain existing buyers.
- Attributes 100% of sales and new customers
- Seasonality, holiday & promotion effects factored in
- Inventory and share-of-voice signals included
Customer Value Prediction
Know what every customer is worth before they buy again. Spend to acquire the buyers who'll actually pay back - and spot the ones quietly slipping away.
Demand & Revenue Forecasting
See next quarter's numbers before the quarter starts. Plan inventory, cashflow, and spend against a forecast you can actually defend to the board.
Incrementality Testing
Prove the true incremental impact of each channel. Fold past A/B tests straight into model parameters - never lose a learning again.
Secure, Private AI
Your data is processed in isolation - never shared, never used to train shared models, never visible to anyone else. Privacy is a product principle, not an add-on.
Backed by Real Practitioners
Advanced modelling needs advanced practitioners. Real skin in the game - not a generic SaaS tool handed off after onboarding. We're with you throughout.
This Has Never Been
More Important
of conversions are invisible to standard tracking due to privacy changes, cookie loss, and ad blockers
ad platforms typically overreport attributed conversions versus the true incremental impact
is what enterprise brands invest in this capability - we offer it at a fraction of the cost
Causal Lift vs. The Alternatives
| Ad Platform Reporting | Standard MTA | Causal Lift | |
|---|---|---|---|
| Uses 100% of conversions for attribution | ✗ | ~ | ✓ |
| Accounts for seasonality & inventory | ✗ | ✗ | ✓ |
| Works without cookies / tracking | ✗ | ✗ | ✓ |
| Predicts customer value & demand | ✗ | ✗ | ✓ |
| Incrementality testing built in | ✗ | ~ | ✓ |
| Data never shared with third parties | ✗ | ~ | ✓ |
Enterprise-Grade.
Early-Partner Pricing.
We're onboarding a select group of early partners in exchange for social proof and product feedback - a rare window to access a €100k+ capability without the enterprise price tag.
Industry standard for enterprise engagements with major consultancies.
- Long consultancy fees & scoping
- 3–6 month onboarding timelines
- One-size-fits-all models
- No ongoing tuning or support
- Data often processed externally
- Social shoutouts & interviews
- Your logo on our client list
- Honest product feedback & a testimonial
Frequently Asked
What's in the suite, and how is it different from my current attribution?
Causal Lift combines marketing mix modelling, customer-value prediction, demand forecasting, and incrementality testing in one place. The core uses an econometric approach that models the relationship between your business outcomes and everything that drives them - simultaneously. Unlike tracking-based attribution that depends on cookies, pixels, and consent, it works from your aggregated business data, so it sees every channel, including offline and dark social.
Why do I need 2 years of data?
The models need enough history to detect seasonality cycles, isolate the true effect of promotions and holidays, and separate genuine marketing lift from external noise. Two full years gives enough signal to produce reliable, statistically significant results. Businesses with less data will see lower accuracy.
Is my data secure? Who can access it?
Your data is processed in an entirely isolated environment. It is never shared with third parties, never used to train shared models, and never accessible to other clients. We treat your business data with the confidentiality you'd expect from a financial advisor. Security is a core product principle, not an afterthought.
How does this integrate with Shopify?
Causal Lift connects directly to your Shopify store and pulls in sales, product, and order data automatically. You'll also connect your marketing channels (Meta, Google, TikTok, email, etc.) and any extra signals like inventory levels. Setup takes minutes, not weeks.
What does "ROAS as a channel" mean?
We think the clearest way to evaluate Causal Lift is to treat it like a marketing channel, measured on incremental ROAS. If the model tells you to move budget from Meta to email and revenue rises as a result, that uplift is attributable to the tool. Scale it up or down based on performance, just like any channel in your mix.
How long until I see results?
After connection and initial training - typically 2–4 weeks depending on data complexity - you'll have a fully operational model with actionable recommendations. It becomes more accurate over time as it ingests more data and is tuned with your business context, and you can fold in results from any past experiments.
Does this replace my existing analytics setup?
No - it complements your existing tools rather than replacing them. Your platform dashboards and GA4 keep serving day-to-day campaign management. Causal Lift sits above them as your business-level source of truth for budget allocation, strategy, and proving ROI to your board or investors.
Ready to See What's
Actually Driving Growth?
Apply for early access. We'll review your data eligibility and reach out within 48 hours to arrange a scoping call.