Unified Analytics & Attribution Ecosystem for Confident Full-Funnel Decisions
Marketing performance is only as good as the measurement behind it. ADMATIC's Marketing Intelligence, Measurement & ADINDEX™ service builds a unified analytics and attribution ecosystem so you can make confident decisions across brand and performance. This is central to Brandformance: brand metrics and performance metrics must be measured together, optimised together, and scaled together, otherwise strategy becomes fragmented and investment decisions become biased by whichever platform shouts the loudest.
We build measurement frameworks that connect upper-funnel and lower-funnel outcomes, so brand and performance are accountable together and scaling decisions are backed by evidence, not platform dashboards.
Brand and performance measured together, one unified growth framework.
We implement and audit GA4 setups, event tracking frameworks, conversion definitions, attribution settings, and data governance. Where required, we support server-side tracking and tag architecture improvements to reduce data loss and improve privacy resilience. Clean data enables accurate optimisation and prevents false conclusions about what's actually driving growth.
We build measurement frameworks that connect upper-funnel and lower-funnel outcomes. That means tracking not only ROAS, CPA, CAC, and revenue, but also leading indicators like awareness lift, mental availability proxies, share of search, and brand engagement signals. The goal is to create a single performance truth that supports full-funnel decisions.
No single attribution model is perfect. We triangulate platform data, analytics attribution, and third-party measurement approaches to understand contribution across the journey. This reduces platform bias and helps identify where demand is created versus where it is captured. Attribution becomes a decision tool, not a reporting exercise.
We validate performance using incrementality methods such as lift testing, geo experiments, holdouts, or controlled budget shifts where appropriate. This reveals what is truly incremental versus what would have happened anyway. Incrementality is critical for scaling: it protects budgets from wasted spend and ensures investment grows what matters.
For brands needing deeper clarity, we apply marketing mix modelling principles to understand long-term drivers and the interaction between brand media and performance channels. This supports budget allocation decisions and improves confidence in demand creation investment.
ADINDEX™ is ADMATIC's approach to using historical performance and category intelligence to improve budget distribution. It helps forecast how spend allocation affects outcomes, identifies diminishing returns, and supports smarter investment across channels and funnel stages. The result is a more resilient growth strategy that compounds, rather than chasing short-term efficiency at the expense of future demand.
ADINDEX™ uses historical performance data and category intelligence to forecast optimal channel investment, identify diminishing returns, and support smarter budget distribution across channels and funnel stages.
Model how spend allocation affects revenue outcomes before committing budgets.
Pinpoint where additional investment stops generating incremental growth.
Distribute budgets across brand and performance for compounding, resilient growth.
Marketing attribution identifies which channels, touchpoints, and campaigns are genuinely driving conversions, rather than simply appearing in the path to purchase. Without accurate attribution, budgets tend to be misallocated toward channels that look successful under last-click models but contribute little incrementally. Good attribution enables smarter investment decisions, reduces wasted spend, and improves overall return on marketing investment over time.
Incrementality testing measures the true causal impact of a marketing campaign by isolating what happened as a direct result of the activity versus what would have occurred naturally without it. Methods include geo experiments, holdout tests, and controlled budget shifts. Incrementality testing is essential for validating channel contribution and ensuring growth investment is generating genuine uplift, not just claiming credit.
Marketing mix modelling (MMM) is an econometric methodology that uses historical spend and sales data to quantify the long-term contribution of different marketing channels to revenue and growth. Unlike platform attribution, MMM accounts for external factors and captures the full effect of brand media investment over time. It supports confident budget allocation decisions across both brand and performance channels.
The most important metrics in a Brandformance measurement framework include CAC, ROAS, LTV, revenue, and conversion rate on the performance side, alongside brand lift, awareness, mental availability proxies, and share of search on the brand side. These should always be evaluated together. Optimising for performance metrics alone without tracking brand indicators leads to underinvestment in future demand and long-term growth.
ADINDEX™ is ADMATIC's proprietary predictive budget allocation framework that uses historical performance data and category intelligence to forecast how investment distribution across channels impacts revenue outcomes. It models diminishing returns, identifies optimal channel mix across the funnel, and guides smarter spend decisions over time. The result is a more resilient, compounding growth strategy that reduces wasted investment and improves long-term efficiency.