AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Intro
This chapter explores how AI is revolutionizing attribution for e-commerce brands by identifying crucial action points and summarizing customer interactions. The discussions include insights on recent integrations that improve data collection post-iOS 14, helping brands optimize their marketing strategies.
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 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
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
Listen to all your favourite podcasts with AI-powered features
Listen to the best highlights from the podcasts you love and dive into the full episode