The Secret To Measuring Brand Marketing with Jake Barnett | Horizons Pod

Listen now on YouTube, Spotify, and Apple.—Jake Barnett is a marketing data expert and founder of Day1Data who previously led customer data foundations at Farfetch, helping optimize their $300M marketing budget through advanced analytics.Here’s some of my takeaways from this week’s episode…1/ 📊 Perfect is the enemy of profitable: No attribution model tells the complete truth, but some drive real business value. Focus on models that get used daily and match your business context (e.g., last-touch for pure DTC, multi-touch for omnichannel).2/ 💰 Scale before sophistication: MMM isn't for everyone. Three key criteria: spending >$50-100k, diverse media mix, and clean historical data. Start with simpler incrementality tests if you're not there yet.3/ 🎯 Competitors are conversion killers: Rival spending typically causes 10-20% revenue decline in emerging markets. Established brands with strong market share face less impact from competitor spending.4/ 🏪 Physical retail = stealth marketing: Store presence creates significant halo effects for DTC brands. Many successful companies treat retail as an advertising channel rather than a pure revenue play.5/ 📈 Brand + Performance = Winning combo: Performance marketing borrows demand from the future while brand builds it. Modern scale-ups increasingly blend both approaches rather than going pure-play performance.6/ 🧪 Test design trumps analysis: The best incrementality tests start with strong pre-testing power analysis. Choose consistent test markets without noise and secure leadership buy-in before launching.7/ 👥 Change management > tech implementation: 70% of marketing transformation is about managing people, not implementing solutions. Align attribution methodologies across teams and secure executive sponsorship.8/ 📱 Daily tracking needs quarterly context: Use MMM for strategic planning (quarterly/annual) and traditional attribution for daily optimization. No single tool handles everything perfectly.—Where to find Jake Barnett:* Company: https://day1data.co.uk/* LinkedIn: https://www.linkedin.com/in/jake-barnett-37980abb/—In this episode, we cover:00:00 Introduction and Marketing Attribution Philosophy 02:30 What Makes Attribution Models Useful 04:00 Explaining Media Mix Modeling (MMM) 06:30 Experience at Farfetch with MMM 09:36 How Marketers Should Evaluate MMM Reports 13:46 Handling Data Quality Issues 20:20 Brand vs Performance Marketing Balance 25:38 Data Quality and Common Issues 29:06 B2B Marketing Measurement Challenges 34:21 Different Approaches to MMM Implementation 41:42 Impact of Competitor Spend 47:13 Brand Building vs Performance Marketing 51:45 Human Side of Marketing Transformation 57:13 Storytelling and Visualization in Marketing Analytics 1:00:00 Incrementality Testing Best Practices—Obligatory disclaimer: I've worked at YouTube and Google for about a decade in various marketing teams. Nothing I say in my personal spaces is necessarily endorsed by them. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit horizonspod.substack.com