How Origin Doubled Ad Spend with Better Attribution

📈 Triple Whale - Learn more about Sonar for Meta 🔗 https://www.triplewhale.com/meta?utm_source=chewonthis&utm_medium=podcast&utm_campaign=meta-sonar-mdf2024 In this episode of Chew on This, Ash dives deep into the world of marketing attribution with Justin from Origin and Logan from Triple Whale. They explore how modern brands can effectively track and optimize their marketing performance across multiple channels. 📊 Data Centralization: Origin leveraged Triple Whale to centralize data from various platforms, enabling better attribution and doubling ad spend. 🤖 AI Insights: AI and prompt engineering are integral in uncovering hidden action points and optimizing marketing strategies. 📈 Attribution Models: Using total impact attribution and zero-party data from post-purchase surveys provides a more accurate and trusted view of ad performance. 🔄 Workflow Automation: Triple Whale is developing AI-driven workflows to automate root cause analysis and provide actionable recommendations. 🚀 New Channels: Trying new marketing channels while ensuring proper tracking and attribution is crucial for staying ahead in the competitive e-commerce landscape. 0:00 - Intro ​1:32 - The impact of the iOS 14 update on data tracking and attribution ​3:19 - Transition from traditional analytics to more advanced attribution models ​5:00 - The struggle of marketing teams to understand the return on their investments ​8:17 - The significance of having a centralized source of truth for data ​10:11 - Importance of measuring ad interactions to optimize future campaigns ​12:57 - Using data to pinpoint marketing channel effectiveness ​16:34 - The need for granular data to compare platform performance ​20:15 - Correlating ad spend with direct traffic to assess campaign effectiveness ​24:27 - Discussion on creating a weighted three-prong attribution model for better channel assessment ​27:30 - Emphasis on the importance of AI in marketing and data analysis ​30:12 - Insights on using AI for segmentation and personalization in marketing strategies ​32:02 - Analyzing chat data with AI to improve customer interactions and responses ​34:43 - The potential for AI to provide actionable insights and recommendations for ad campaigns ​37:12 - Importance of having centralized data to identify issues affecting ad performance ​39:41 - Future features that will automate data analysis and improve marketing efficiency ​42:11 - Discussion on the impact of using advanced attribution tools on ad spending and performance ​46:10 - The significance of understanding customer acquisition strategies for scaling ads effectively ​46:48 - Final chews Follow us, subscribe to our newsletter, and to see our exclusive merch check out https://chewonthis.io/ Ron Shah - https://twitter.com/obviceo Ash Melwani - https://twitter.com/ashvinmelwani Chew On This - https://twitter.com/chewonthisdtc