Most marketing leaders struggle to verify whether platform dashboards reflect true business revenue. In a crowded digital ecosystem with long consideration windows and complex touchpoints, attributing sales accurately is remarkably difficult. Live polling during our session in Milan confirmed what many suspect: there is a widespread lack of confidence in using platform ROAS to justify macro spending to a CFO.

As host of the event, I brought together a panel of experts to tackle this challenge directly. Tommaso Galli, Head of Marketing Science at Meta, joined us alongside Rebecca Leporati, Marketing Science Lead at Precis, Marco Frighetto, COO at Precis Souther Europe, Domenico Manna and Marco Zappalà from WeRoad, and Claudia Magenes from Meta. Together, we explored how brands can move beyond platform guesswork to establish frameworks that prove genuine business impact.

To build a sustainable growth engine, marketers must separate organic baseline revenue from incremental sales, adopt a multi-layered measurement framework, and turn insights into daily budget reallocation.

Platform metrics optimise daily campaigns but obscure incremental reality

Platform numbers are useful for daily tactical optimisations, but they rarely reflect macro business results. Every established brand possesses baseline sales, which are the conversions that would occur naturally without active marketing spend. Incremental sales, by contrast, are the additional conversions generated solely as a direct result of advertising investments.

When platforms claim credit for conversions that belonged to the baseline, marketing teams risk paying to acquire customers who would have bought anyway. Admitting this gap in tracking is the first step toward finding the truth. By using tools like conversion lift studies and incremental attribution, machine learning algorithms can be trained to target users who actually require an ad to take action. For brands operating with smaller budgets, this logic scales down effortlessly: running localised geo-lift experiments or isolated channel holdout tests provides clear proof of incrementality without requiring complex infrastructure.

The Measurement Triad bridges the gap between daily execution and strategic planning

To overcome fragmented platform data, brands need a holistic measurement architecture. We approach this through the Measurement Triad, which combines three complementary methodologies: incrementality testing for specific campaign launches, Marketing Mix Modelling (MMM) run two to four times a year for high-level cross-channel evaluation, and Alvie, our proprietary platform, to calibrate daily budget allocation.

This multi-layered approach was recently put into practice for a beauty client managing both online and physical stores. The challenge was proving whether television campaigns drove profitable revenue across both sales channels. By constructing a synthetic twin model to predict sales in a world without television advertising, the analysis revealed a 28% incremental lift in sales across both digital and physical stores. This gave the team clear proof that TV was acting as a profitable performance engine rather than an unmeasurable brand expense.

Growth ceilings demand a shift from last-click digital efficiency to brand equity

Early-stage brands often experience rapid growth through performance marketing, but digital efficiency eventually hits a ceiling. According to the 3x rule, when early growth curves of 200% or 300% begin flattening to 50% or 60%, a brand has likely saturated its immediate digital efficiency. Continuing to push performance channels at this stage simply inflates acquisition costs without generating net-new demand.

Scaling beyond this wall requires investing in brand equity and upper-funnel channels to feed the performance machine. Data and creative execution must work together to support this transition. Rather than restricting creative teams, structured data frameworks give them strategic direction. Supplying algorithms with distinct visual concepts allows platforms to solve cold-start challenges and discover new customer segments effectively.

Practical steps to evolve your measurement framework

  • Separate baseline sales from incremental conversions by conducting regular conversion lift or geo-lift tests.
  • Establish a Measurement Triad that connects periodic MMM strategic reviews with daily budget allocation tools.
  • Monitor digital efficiency curves using the 3x rule to identify growth ceilings before customer acquisition costs spike.
  • Supply ad platforms with diverse creative concepts to help machine learning models target high-value incremental audiences.

Proactive measurement is useless without the organisational courage to reallocate budget based on what the data reveals, even if it challenges long-held platform assumptions.

To explore our upcoming events, visit our events hub or subscribe to our newsletter to stay informed about future sessions.