
Most marketing teams track spend. The best ones understand attribution. Eucloid brings the frameworks, models, and instrumentation to tell you which channels drive growth — and precisely what each dollar returns.
Each stage demands a different channel mix, measurement lens, and optimisation lever. We design measurement strategies that span them all.
Reach & Exposure
Engagement & Intent
Revenue & ROI
LTV & Advocacy
No single model answers every question. We implement the right framework — or combination — for your business stage and measurement maturity.






Each layer informs and calibrates the others. Attribution provides granular journey data; MMM adds offline and seasonal context; incrementality tests validate causal claims.
Attribution models provide granular, user-level signals for day-to-day channel optimisation
Incrementality tests validate causal claims and calibrate the broader measurement model
MMM synthesises all signals — including offline and macro effects — into a quarterly budget view
Our unified measurement approach combines MTA, MMM, and incrementality testing into a calibrated system that drives both daily decisions and quarterly strategy.
Our unified measurement approach combines MTA, MMM, and incrementality testing into a calibrated system that drives both daily decisions and quarterly strategy.
Measurement alone isn't enough. Effective marketing requires the underlying infrastructure across targeting, personalisation, and continuous optimisation.
Reach the right audiences across paid and social channels using first-party data and ML-driven segments.
Deliver the right message at the right moment — across web, app, CRM, and paid channels.
Close the loop between spend and outcomes with real-time dashboards and attribution-backed decisions.

Effective attribution depends on knowing who your customers are. We build Customer 360 profiles and ML-driven segmentation that activate across CRM, paid, and onsite channels.
We build Customer 360 profiles and ML-driven segmentation across four dimensions — transactional behaviour, digital engagement, firmographic attributes, and data science models including LTV scoring and churn prediction. These segments activate directly into CRM, paid media, and onsite personalisation.
Purchase history, order value, recency, and repeat behaviour.
Clickstream patterns, campaign response, and channel engagement.
Industry, company size, revenue, and seniority — for B2B activation.
LTV tiers, churn scores, product affinity, and look-alike audiences.
Outcomes from anonymised engagements with Fortune-100 retailers and B2B technology firms.
We work with marketing and analytics teams to design, implement, and operationalise measurement frameworks that hold up to scrutiny — and drive decisions with confidence.