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Measurement Moves Upstream as Brands Push for Clearer Revenue Signals

April 6, 2026

Tiffany Toro, Product Marketing Lead at Walmart Connect, guides marketers to align measurement with business outcomes from the start.

Credit: The CMO Wire

Key Points

  • As media complexity increases, brands are shifting measurement earlier in the workflow, using it to guide budget allocation and connect media decisions directly to business outcomes.

  • Tiffany Toro, Product Marketing Lead at Walmart Connect, highlights the industry’s core challenge: fragmented platforms and inconsistent data frameworks create a translation gap that directly impacts revenue.

  • By defining measurement upfront and aligning on shared KPIs, marketing teams can move beyond reporting to build a unified data narrative that improves decision-making and performance.

Every single publisher is talking a different language. That translation part is the layer that's missing the most, and that's where revenue is actually either lost or unlocked.

Tiffany Toro

Product Marketing Lead

Walmart Connect

Measurement is moving to the front of the media workflow, where it now guides spend decisions instead of simply explaining them after the fact. As budgets tighten and the media mix stretches across channels, fragmented dashboards make it harder to know where the next dollar should go. That pressure is forcing a shift toward outcome-driven measurement, applied early to shape strategy and connect media investment directly to revenue performance.

Tiffany Toro, Product Marketing Lead at Walmart Connect, has spent 15 years navigating these exact data translation hurdles. At Walmart, she architected the positioning for the retailer's integrated measurement solutions and trained over 500 sellers on how to reallocate spend through data storytelling. With previous experience driving go-to-market strategies at Meta and generating millions in pre-sales revenue at Cuebiq, Toro understands the operational friction of the current market. She notes a persistent logistical puzzle for brands: platforms operate as walled gardens, and each grades its own homework using a different rubric.

"Every single publisher is talking a different language. That translation part is the layer that's missing the most, and that's where revenue is actually either lost or unlocked," says Toro. Because publishers speak different languages, brands must bring their own data to the table to bridge the gap. Driven by the need for a single source of truth, many advertisers are bringing data in-house to own more of the translation work themselves. Toro points out that effective translation depends on a mutual exchange of insight.

  • Clarifying what counts: In today’s ecosystem, measurement is distributed across multiple stakeholders. Advertisers often rely on publisher algorithms to interpret performance, while platforms depend on brand-level customer data to refine recommendations. As agentic AI and retailer integrations reshape the path to purchase, that interdependence is becoming more pronounced. As a result, many teams are working to clarify what measurement is actually meant to deliver, starting with a more precise definition of its role. "Measurement answers one question: did the ad actually drive a business outcome? Reporting is simply how your campaign performed," Toro says.

  • One language, better outcomes: The translation layer is still largely human. Sales teams interpret historical baselines and turn them into personalized recommendations for advertisers. But what works at an individual level becomes harder to scale. Aligning teams around a single data narrative is often where organizations struggle. Without that consistency, decision-making slows and performance signals get diluted. "When measurement is driving the conversation, there needs to be a historical relationship between the publisher and the advertiser so you have the data to understand the baseline," advises Toro. "That relationship is very strong when the publisher's salesperson is talking the same language. They can provide recommendations to the advertiser to try and shift a percentage of revenue into what's working."

  • Pre-game over post-mortem: Reducing confusion starts with planning. Instead of waiting until after a campaign runs, teams are beginning to define measurement upfront. As attribution and incrementality tools evolve, early alignment between brand and publisher is becoming critical. Establishing a shared data strategy and clear success metrics from the start makes performance easier to interpret and act on later. "Oftentimes, measurement is an afterthought treated as an added-value piece," says Toro. "If we flip the switch, measurement is something you should now lean forward with. It should be part of those initial conversations you're having with the advertiser. It becomes a holistic story where you're thinking about measurement every step of the way."

Toro’s advice to buyers is straightforward: take control earlier in the process. Aligning on goals and measurement from the outset is one of the most effective ways to drive more value from campaign budgets. By defining success at the start, advertisers create a clearer framework for decision-making and reduce the ambiguity that often shows up in reporting. It also moves measurement from a passive readout to an active driver of performance. "When you plan measurement upfront, you set yourself up for success because you know what KPIs you're looking for," she concludes. "When you try to translate all the numbers in a dashboard, you know exactly what to hone in on because you know your North Star."