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Put Facebook Data Science to Work in Starting Your eCommerce Business

Serious Sellers Podcast · with Yev Marusenko · October 29, 2019 · 29 min

Summary

This episode features Yev Marusenko, who applies his data science background to help Amazon sellers optimize their Facebook ad funnels. He emphasizes moving beyond simple A/B testing and understanding how Facebook's algorithm works to create more effective ad sequences. Operators will learn how to leverage Facebook data for customer acquisition and scaling their Amazon businesses.

Key takeaways

Themes

paid acquisitionamazon & marketplacesanalytics & attributionfounder & leadership

Topics covered

facebook ad funnelsamazon fbadata science for ecommercead sequencingnon-binary testingzontrackerfacebook ad metrics

Episode description

Episode 76 of the Serious Sellers Podcast hosts Yev Marusenko from Zontracker, a company that helps start eCommerce businesses using Facebook ad funnels

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Frequently asked about this episode

What does this episode say about paid acquisition?
Go beyond binary A/B testing by integrating insights from various disciplines and understanding Facebook's algorithm for more sophisticated ad strategies.
What does this episode say about amazon & marketplaces?
Prioritize content-focused targeting in initial Facebook ad campaigns before introducing more direct, ad-specific marketing.
What does this episode say about analytics & attribution?
Start with video content, even simple ones, for Facebook ads as it often performs well for initial engagement and audience building.
What does this episode say about founder & leadership?
Utilize tools like Zontracker to monitor sales specifically linked to Facebook ad performance and optimize campaigns.
What does this episode say about paid acquisition?
Develop a deep understanding of Facebook ad metrics to refine targeting and ad sequencing effectively.

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