{"id":156581,"date":"2026-02-03T16:22:44","date_gmt":"2026-02-03T21:22:44","guid":{"rendered":"https:\/\/www.dacgroup.com\/en-gb\/insights\/blog\/none\/\/"},"modified":"2026-02-04T05:29:54","modified_gmt":"2026-02-04T10:29:54","slug":"bridging-brand-and-performance-media","status":"publish","type":"post","link":"https:\/\/www.dacgroup.com\/en-gb\/insights\/blog\/paid-media\/bridging-brand-and-performance-media\/","title":{"rendered":"Bridging Brand and Performance Media: Shifting Up-Funnel for Measurable, Enduring Growth"},"content":{"rendered":"\n

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Over the past decade, marketers have built sophisticated, high-precision performance engines. Search, direct response Social, retail media, and remarketing all promise what every CMO wants: immediate, measurable results. The allure is powerful\u2014easy attribution, clean dashboards, and the comforting illusion that every dollar spent drives incremental sales. But increasingly, performance media behaves like a short-term fix. It delivers quick hits, but the long-term effects can be damaging: rising costs, diminishing returns, and an overreliance on capturing demand rather than creating it. <\/p>\n\n\n\n

Many brands now find themselves in the same bind. They know they need to invest in brand so they can reach new audiences, shape preferences, and shift future demand, but they\u2019re reluctant to do it without the measurement rigor they\u2019ve built in the lower funnel. They\u2019re judged quarter-by-quarter on their ability to produce boardroom-ready measurement and reporting of media impact, and have been conditioned to believe that only the bottom of the funnel can deliver that kind of clarity. <\/p>\n\n\n\n

The industry\u2019s leading research backs this up. Binet and Field\u2019s foundational work<\/a> demonstrates that, on average, brands need roughly a 60\/40 balance between brand-building and activation to maximise long-term growth, though the exact balance varies by category. Yet many brands, especially those operating in competitive local and regional markets, dramatically underinvest in brand because activation feels safer, faster, and easier to justify. The consequence is predictable: a plateau in growth and a shrinking pool of in-market buyers. <\/p>\n\n\n\n

What marketers need now isn\u2019t more theory; it\u2019s a practical, measurable path to responsibly shifting up-funnel without losing the confidence that performance media has historically provided. This paper outlines exactly how we do that\u2014combining brand strategy, audience insight, omnichannel orchestration, and a unified measurement framework that triangulates truth across multiple methodologies. Armed with this toolkit, we can overcome the current \u201ccrisis of brand.\u201d <\/p>\n\n\n\n

The Power of a Strong Brand <\/strong><\/p>\n\n\n\n

Marketers intuitively understand that strong brands perform better, but the degree to which brand strength influences performance and how broadly it impacts the full funnel is often underestimated. Numerous studies show that brand preference doesn\u2019t just shape awareness or consideration; it materially improves the efficiency of every performance channel beneath it. <\/p>\n\n\n\n

A Nielsen ROI analysis<\/a> found that adding upper-funnel marketing on top of existing mid-low funnel activity increased ROI by up to 70%. When a brand is well known and well understood, more people search for it, paid search auctions get cheaper, conversion rates rise, and retargeting pools grow with higher-quality prospects. <\/p>\n\n\n\n

In other words, brand is not an alternative to performance\u2014it is a force multiplier for performance. <\/p>\n\n\n\n

Strong brands also enjoy more pricing power, faster customer acquisition, and greater lifetime value. They lower the cost of persuasion across channels. They create resilience during competitive disruptions, economic swings, or platform volatility. They reduce dependence on unstable attribution models. And, critically for multi-location and Brand-to-Local brands operating across regions and markets, they unlock consistency and efficiency across hundreds or thousands of individual markets. <\/p>\n\n\n\n

Investing in upper-funnel media is not solely a long-term play. It is a highly measurable driver of short-term and long-term outcomes, if we design the ecosystem correctly. <\/p>\n\n\n\n

It Starts with Becoming Audience-Centric <\/strong><\/p>\n\n\n\n

Shifting up-funnel responsibly requires a deeper understanding of who we\u2019re trying to influence and how they move through their decision process. That means becoming audience-centric, not channel-centric. <\/p>\n\n\n\n

This begins with rigorous audience and landscape understanding, segmenting the market based on\u00a0behaviours, motivations, values, and unmet needs. Too often, brands lean on broad demographic segments or platform-defined audiences, which obscures the reality of how real people behave across digital and physical environments.\u00a0<\/p>\n\n\n\n

Audience centricity also relies on the intelligent use of first-party data. Most multi-location brands\u00a0possess\u00a0rich data assets (CRM data, transaction history, loyalty data, POS information) that are\u00a0underutilised\u00a0for insight generation, not just targeting. By analysing these signals, we uncover higher-value customer cohorts, understand their lifetime value distributions, and\u00a0identify\u00a0opportunity segments with substantial headroom.\u00a0<\/p>\n\n\n\n

From here, we map the full customer journey for each priority segment. The goal\u00a0isn\u2019t\u00a0to develop a generic linear funnel, but to understand the specific content, channels, and moments that meaningfully influence behaviour. Some segments may require more emotional storytelling early on; others may need problem-framing content or social proof to advance.\u00a0<\/p>\n\n\n\n

Finally, KPIs must be aligned to these journey stages. The content and media that drive early-stage shifts should not be held to lower-funnel metrics. Instead, they should be measured with indicators that reflect their role in priming the audience for conversion. <\/p>\n\n\n\n

Audience-centric planning is simple in principle, complex in execution. But when done well, it ensures we invest in the right people with the right messages at the right moments, and it lays the foundation for full-funnel measurement. <\/p>\n\n\n\n

\"Map<\/figure>\n\n\n\n

Audience centricity mapping<\/em> <\/p>\n\n\n\n

Orchestrating Omnichannel Experiences <\/strong><\/p>\n\n\n\n

Today\u2019s customers fluidly navigate between digital and physical touchpoints. They research online, purchase offline, encounter local messaging, see national branding, and interact across an ever-expanding set of environments. To meet them where they are, we must orchestrate omnichannel media, not run channel-by-channel campaigns. <\/p>\n\n\n\n

This means moving beyond the old dichotomy of \u201cdigital for acquisition, offline for brand.\u201d Instead, we need a connected view of the customer\u2019s total behaviour\u2014how they come in the door, how they explore, how they convert, and how they return.\u00a0<\/p>\n\n\n\n

Critically, omnichannel planning enables us to understand true acquisition dynamics. For example, a digital prospecting campaign may spark interest, but the final conversion might occur in a physical location. Without integrated measurement, the digital channel gets undervalued; with it, we can quantify the full business impact and\u00a0optimise\u00a0accordingly.\u00a0<\/p>\n\n\n\n

For multi-location brands, omnichannel maturity is especially important. Individual stores, regions, or franchisees often experience different customer journeys. To harmonise enterprise strategy with local execution, we need a shared measurement backbone that understands both.\u00a0<\/p>\n\n\n\n

A Measurement Framework That Moves Beyond Last Click <\/strong><\/p>\n\n\n\n

If marketers are going to responsibly invest above the performance line, they need measurement systems that make brand investment as credible as lower-funnel activity. There\u2019s no single magic metric that can do this. Instead, we build a Unified Measurement Framework<\/strong>\u2014a multi-method approach that cross-validates insights and \u201ctriangulates truth\u201d rather than betting on one model alone <\/p>\n\n\n\n

Marketing Mix Modeling (MMM): The Long-View Foundation <\/p>\n\n\n\n

MMM gives us the strategic perspective: a privacy-resilient, statistical view of how each channel contributes to outcomes over time. Modern MMMs can incorporate both short-term and long-term effects, capturing the halo of brand investment as well as the contribution of activation channels. This becomes the anchor for long-term budget allocation, scenario planning, and brand-level guidance. <\/p>\n\n\n\n

Flighting Variation to Improve Model Accuracy <\/strong><\/p>\n\n\n\n

MMM accuracy improves when media spend has sufficient variation. We intentionally vary flighting to help the model read impact more clearly, ensuring every channel\u2019s contribution is properly captured. <\/p>\n\n\n\n

Incrementality Testing: Proving What\u2019s Truly Net-New <\/p>\n\n\n\n

MMM alone\u00a0isn\u2019t\u00a0fast enough for optimisation. To\u00a0validate\u00a0true causal impact, we use incrementality testing, including audience holdouts, geography-based experiments\u00a0across regions and markets, and platform-level lift studies. These tests answer the essential business question:\u00a0What would have happened if we\u00a0didn\u2019t\u00a0run the campaign?<\/em>\u00a0<\/p>\n\n\n\n

Holdout designs provide clean causal reads on net-new outcomes. Geo tests allow us to measure lift at scale without user-level tracking. This approach moves us from correlation to causation and provides the kind of rigor stakeholders trust. <\/p>\n\n\n\n

Attribution Models: Fast Optimisation Signals\u00a0<\/p>\n\n\n\n

Attribution\u2014both rules-based and machine-learning\u2014remains useful for real-time directional guidance, even as privacy changes degrade its absolute accuracy. By integrating attribution insights with MMM and incrementality testing, we get both speed and truth. <\/p>\n\n\n\n

Together, these components create a measurement system strong enough to support serious brand investment while retaining the agility performance teams depend on. <\/p>\n

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