We began by unpacking the relationship between app engagement and transaction outcomes. The problem was not a lack of data, but the absence of a reliable model that could connect customer behaviour to commercial effect in a way the business could actually use. App events, transactional patterns, loyalty activity, and campaign moments all existed, but they were not yet structured into one decision-ready view. Signal360 helped bring those pieces together into a practical incrementality framework, allowing McDonald’s Spain to assess likely impact using the data already available, without waiting for a full media-mix setup.

A key decision was to treat this as a business question first, and an analytics question second. Rather than forcing a full marketing mix model onto incomplete inputs, we built a more focused proxy model around app and transaction behaviour. That made it possible to estimate directional incrementality through observable patterns, timing effects, and behavioural cohorts that could be defended internally. Just as important, the model had to work beyond the analytics team. It needed to support commercial decision-making, strengthen strategic conversations, and give teams a usable way to discuss digital value without getting lost in technical complexity.

Execution centred on building a structured analytical model that linked app interactions to downstream transaction performance. We brought together the relevant data sources, aligned definitions, and created a proxy framework that showed where digital engagement was accelerating value creation. That shifted the conversation from activity reporting to contribution analysis. Adoption mattered just as much as the model itself, so the work was translated into clear business language and practical recommendations. Rather than landing as a one-off analysis, Signal360 became a way for marketing, commercial, and data teams to evaluate digital performance with more consistency and confidence.

The challenge was to create an approach that was both credible and usable. The business needed evidence strong enough to support commercial decisions, but the method also had to stay practical, explainable, and workable within existing teams and workflows. That balance mattered. If the model became too academic, adoption would stall. If it became too simplistic, it would fail to separate real incrementality from noise. We also had to align stakeholders on definitions, causality, and what the proxy could genuinely prove, making sure directional insight was treated with discipline rather than dressed up as certainty.

The result was a much clearer view of what digital is really adding to the business. Signal360 showed that 23% to 29% of yearly transactions were genuinely incremental, meaning these purchases would not have happened without the app, loyalty activity, lifecycle programs, and digital campaigns. In other words, digital was not just shifting existing restaurant traffic from offline to online. It was bringing in extra visits and extra transactions. For owner-operators in Spain, that equated to more than €650,000 in additional annual revenue from digital programs. The work also showed that always-on digital activity, such as loyalty, lifecycle, and personalization, was the strongest long-term growth driver, while campaign analysis highlighted where discounting and overlap were putting pressure on revenue and where future campaign design could improve. This is the Value Engine at work: ValueTrack building engaging lifecycles, MatchMaker powering stronger personalization, and ValueDriver compounding loyalty value to drive incremental business.