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Chew on This
How Origin Doubled Ad Spend with Better Attribution
49 minutes Posted Nov 19, 2024 at 8:00 pm.
Intro
The impact of the iOS 14 update on data tracking and attribution
Transition from traditional analytics to more advanced attribution models
The struggle of marketing teams to understand the return on their investments
The significance of having a centralized source of truth for data
Importance of measuring ad interactions to optimize future campaigns
Using data to pinpoint marketing channel effectiveness
The need for granular data to compare platform performance
Correlating ad spend with direct traffic to assess campaign effectiveness
Discussion on creating a weighted three-prong attribution model for better channel assessment
Emphasis on the importance of AI in marketing and data analysis
Insights on using AI for segmentation and personalization in marketing strategies
Analyzing chat data with AI to improve customer interactions and responses
The potential for AI to provide actionable insights and recommendations for ad campaigns
Importance of having centralized data to identify issues affecting ad performance
Future features that will automate data analysis and improve marketing efficiency
Discussion on the impact of using advanced attribution tools on ad spending and performance
The significance of understanding customer acquisition strategies for scaling ads effectively
Final chews
0:00
49:07
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Show notes
πŸ“ˆ Triple Whale - Learn more about Sonar for Meta
πŸ”— 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.
πŸ“Š Data Centralization: Origin leveraged Triple Whale to centralize data from various platforms, enabling better attribution and doubling ad spend.
πŸ€– AI Insights: AI and prompt engineering are integral in uncovering hidden action points and optimizing marketing strategies.
πŸ“ˆ Attribution Models: Using total impact attribution and zero-party data from post-purchase surveys provides a more accurate and trusted view of ad performance.
πŸ”„ Workflow Automation: Triple Whale is developing AI-driven workflows to automate root cause analysis and provide actionable recommendations.
πŸš€ New Channels: Trying new marketing channels while ensuring proper tracking and attribution is crucial for staying ahead in the competitive e-commerce landscape.
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