Stop Losing Money On Ads! Try This Insane AI Hack — Mati Ram | Using First-party Data In Ads, How AI Optimizes Ad Campaigns, Using AI for Better Google And Facebook Ad Results, Importance of Dynamic Segmentation for Targeted Ads
With third-party cookies disappearing, ecommerce merchants are struggling with declining ad performance and rising costs. This episode reveals how leveraging first-party data and AI-driven dynamic segmentation can help businesses regain control over ad spend, optimize campaigns for better results on platforms like Google and Facebook, and achieve higher ROI by targeting the right customers with precision.
Key takeaways
Implement a strategy to collect and utilize first-party data from customer orders, including order, customer, and product information, as this data is more accurate, extensive, and statistically significant than pixel data.
Leverage AI to transform raw first-party data into actionable insights by creating dynamic customer and product segments based on buying behavior and patterns to offer relevant products at the right time and channel.
Utilize AI to identify high-value customer segments, such as 'big ticket spenders' or customers 'more likely to purchase soon,' and create lookalike audiences based on these segments to improve targeting accuracy on advertising platforms.
Regularly analyze business KPIs like Average Order Value (AOV) and repurchase frequency to identify areas for improvement, and then use AI-driven advertising strategies to address these and move the needle on business goals.
Understand that AI advertising involves three stages: data training (connecting to the store, learning first-party data, and injecting segment insights), campaign creation (automating ad generation with optimized targeting), and continuous optimization (AI constantly analyzing performance and making adjustments).
Themes
ad campaign optimizationai in advertisingcustomer segmentationfirst-party data strategy
In this podcast episode, we discuss how to tap into the power of AI to create ads and manage ad campaigns for your online store across multiple channels, all in one place. Our featured guest on the show is Mati Ram, CEO at AdScale.com. Topics discussed in this episode: Why third-party cookies are dying and its impact on Google and Facebook adsHow first-party data from your store can improve ad accuracyHow losing third-party cookies do impact ad budgetsHow merchants can use first-party ...
Frequently asked about this episode
What does this episode say about ad campaign optimization?
Implement a strategy to collect and utilize first-party data from customer orders, including order, customer, and product information, as this data is more accurate, extensive, and statistically significant than pixel data.
What does this episode say about ai in advertising?
Leverage AI to transform raw first-party data into actionable insights by creating dynamic customer and product segments based on buying behavior and patterns to offer relevant products at the right time and channel.
What does this episode say about customer segmentation?
Utilize AI to identify high-value customer segments, such as 'big ticket spenders' or customers 'more likely to purchase soon,' and create lookalike audiences based on these segments to improve targeting accuracy on advertising platforms.
What does this episode say about first-party data strategy?
Regularly analyze business KPIs like Average Order Value (AOV) and repurchase frequency to identify areas for improvement, and then use AI-driven advertising strategies to address these and move the needle on business goals.
What does this episode say about ad campaign optimization?
Understand that AI advertising involves three stages: data training (connecting to the store, learning first-party data, and injecting segment insights), campaign creation (automating ad generation with optimized targeting), and continuous optimization (AI constantly analyzing performance and making adjustments).
