{
  "id": 14599209,
  "title": "Every dashboard is green. So why can’t anyone say what worked?",
  "url": "https://urgent.news/2026/10/15/every-dashboard-is-green-so-why-cant-anyone-say-what-worked",
  "topic": "business",
  "section": "Business",
  "published": "2026-10-15T03:00:06.000Z",
  "source": {
    "name": "e27",
    "slug": "e27",
    "url": "https://e27.co/every-dashboard-is-green-so-why-cant-anyone-say-what-worked-20261012/"
  },
  "original_language": "en",
  "account": "A recent study reveals that audiences are increasingly accepting advertising, yet marketers are uncertain about the effectiveness of their campaigns. Kantar’s Media Reactions study, based on interviews with over 800 senior marketers and 23,000 consumers, shows that only half of advertisers feel they have the right balance between brand building and performance. Confidence in the media mix has decreased, and just 51% say they are extracting actionable intelligence from their data.\n\nThe core issue lies in the \"confidence gap\" – the disconnect between the measurable aspects of a marketing campaign and the certainty of the decisions made based on that data. Every platform reports its own engagement, return, and reach, but these numbers often mislead teams. Platform engagement and brand-building potential align only about a third of the time, leading to a dashboard that appears busy and green but is actually uninformative.\n\nMarketing teams are making progress in making fragmented mixes work, but the lack of clear visibility hinders their ability to defend their strategies. During budget reviews, teams can confidently present numbers showing increases in various metrics, but they cannot confidently attribute these to actual revenue growth. As a result, budgets often remain unchanged year after year, simply redefending the previous year's plan with the same slides.\n\nThe gap is expected to widen as more marketers plan to invest in AI assistants and generative AI in 2027. However, consumer adoption of these technologies is still low, with only 23% trusting AI recommendations. As a result, money is being spent ahead of evidence, leading to a lack of clear measurement methods. In fact, being featured in AI-generated answers is becoming a goal in itself, without a standardized way to quantify its impact.\n\nTo address this, marketers need to shift their focus from measurement theater to signal discipline. They should concentrate on a smaller set of causal metrics that directly track revenue or margin and rigorously test them using holdouts instead of relying on each platform's attribution methods. Prediction should come before spending, with creative and audience scores evaluated before the budget is allocated. Understanding the broader market context, rather than just focusing on one's own funnel, is also crucial. In Southeast Asia, the confidence gap is particularly wide due to the complex regional marketing landscape, with multiple languages, platforms, and markets to navigate. Agencies, despite having fewer resources, carry a heavier burden in explaining category context, audience insights, and competitive moves to earn the right to justify budget allocations.",
  "summary": "Here is an uncomfortable finding for anyone building a 2027 marketing plan this month: audiences are warming to advertising, and marketers are growing less sure that theirs works. That tension sits at the centre of Kantar’s Media Reactions study, published on 2 October and based on interviews with more than 800 senior marketers and 23,000 […] The post Every dashboard is green. So why can’t anyone…",
  "key_points": [
    "Half of advertisers feel their campaigns lack balance between brand building and performance",
    "Confidence in media mix has decreased to 51% for actionable intelligence extraction",
    "Confidence gap hampers teams' ability to attribute campaign metrics to revenue growth"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}