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Clarity in the
Value Chain

Traditional measurement is breaking. Privacy shifts and fragmented journeys demand a return to first principles. We design attribution frameworks that prioritize signal over noise, helping you understand where your marketing spend truly creates enterprise value.

Philosophical approach to data

"Modern attribution isn't about claiming 100% accuracy; it's about reducing the margin of uncertainty until the path forward becomes obvious."

Universal Attribution Frameworks

01

Incrementality & Lift Studies

We measure what actually changes behavior. By isolating groups and analyzing baseline performance, we identify the true delta created by your media—ensuring your budget isn't just claiming credit for organic demand. This is the cornerstone of our analytical strategy.

Lift analysis visualization
02

Holistic Mix Modeling (MMM)

Moving beyond digital-only views, we integrate offline influences and macroeconomic factors into a unified model. This top-down view allows for strategic marketing spend optimization across channels that don't allow for direct click-tracking.

Designing Your Roadmap

A practical guide to how Attribution Core transitions organizations from vanity metrics to business intelligence.

1

Audit & Identification

We map existing data touchpoints and identify silos where signal is currently lost or distorted by legacy tech.

2

Custom Modeling

Framework selection—whether SHAP-based, markovian, or linear—is tailored to your specific customer journey lifecycle.

3

Deployment & Scale

We don't just deliver a report; we build the pipelines that feed your executive dashboard for continuous decision-making.

Ready to move past "Last-Click" bias?

Download our primer on multi-touch frameworks.

Precision vs Accuracy

Methodological Trade-offs

No single model is perfect. We guide you through the choice between scientific precision and operational speed. Our role is to ensure the methodology matches the velocity of your business decisions.

Rule-Based Attribution

  • + Transparent and easy to explain to stakeholders.
  • + Low computational cost / Real-time availability.
  • - Fails to account for channel interplay.
  • - Susceptible to click-fraud and recency bias.

Data-Driven Attribution (DDA)

  • + Accounts for non-converting paths.
  • + Dynamic weighting based on actual efficacy.
  • - Requires significant data volume (high-signal).
  • - Can be a "black box" without proper expertise.

Observed Impacts

Real outcomes from organizations that moved to our core attribution models.

18%

Reduction in CPA for a London-based fintech by reallocating budget from low-incrementality remarketing to top-of-funnel discovery.

Abstract measurement

"They helped us stop arguing about 'whose credit it is' and start talking about 'what grows the business'."

— CMO, Global Retail Group

The 'Halo' Effect

Our attribution frameworks quantified the 22% secondary lift of mid-funnel content on direct return-to-site behavior.

Ready for a quieter,
more accurate view?

Join our consultants at Johnson Building to discuss your current measurement tech stack and identify opportunities for optimization.