π Triple Whale - Learn more about Sonar for Meta
π 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.
π Data Centralization: Origin leveraged Triple Whale to centralize data from various platforms, enabling better attribution and doubling ad spend.
π€ AI Insights: AI and prompt engineering are integral in uncovering hidden action points and optimizing marketing strategies.
π Attribution Models: Using total impact attribution and zero-party data from post-purchase surveys provides a more accurate and trusted view of ad performance.
π Workflow Automation: Triple Whale is developing AI-driven workflows to automate root cause analysis and provide actionable recommendations.
π 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
β1:32 - The impact of the iOS 14 update on data tracking and attribution
β3:19 - Transition from traditional analytics to more advanced attribution models
β5:00 - The struggle of marketing teams to understand the return on their investments
β8:17 - The significance of having a centralized source of truth for data
β10:11 - Importance of measuring ad interactions to optimize future campaigns
β12:57 - Using data to pinpoint marketing channel effectiveness
β16:34 - The need for granular data to compare platform performance
β20:15 - Correlating ad spend with direct traffic to assess campaign effectiveness
β24:27 - Discussion on creating a weighted three-prong attribution model for better channel assessment
β27:30 - Emphasis on the importance of AI in marketing and data analysis
β30:12 - Insights on using AI for segmentation and personalization in marketing strategies
β32:02 - Analyzing chat data with AI to improve customer interactions and responses
β34:43 - The potential for AI to provide actionable insights and recommendations for ad campaigns
β37:12 - Importance of having centralized data to identify issues affecting ad performance
β39:41 - Future features that will automate data analysis and improve marketing efficiency
β42:11 - Discussion on the impact of using advanced attribution tools on ad spending and performance
β46:10 - The significance of understanding customer acquisition strategies for scaling ads effectively
β46:48 - Final chews
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