Ankur Uttam, VP, Data Science and Analytics at Poshmark, discusses how the company uses data to innovate new e-commerce experiences. He explains how live shopping features like “Posh Party LIVE” and “Share Shows” create interactive, community-centered experiences, allowing users to buy and sell through real-time auctions and shared closets. Poshmark also integrates AI to personalize experiences, tailoring notifications and communications to user habits to enhance satisfaction and streamline engagement.
Key Takeaways:
(02:24) Poshmark’s strategic focus is on live shopping.
(03:22) “Posh Party LIVE” fosters community-driven selling.
(04:09) Poshmark’s "Share Shows" enable collaborative selling.
(10:09) Poshmark’s “prioritized last touch” approach to channel attribution.
(12:00) Successful attribution models are validated by results that align with predicted outcomes.
(16:30) Cohort analysis shapes geo-specific marketing insights.
(24:33) AI supports user engagement through personalized recommendations.
(25:33) AI customizes the timing of notifications, tailoring communication to user habits.
(27:15) Strategic thinking and curiosity are vital skills that AI tools can’t replace.
Resources Mentioned:
https://www.linkedin.com/in/ankuruttam/
Poshmark -
https://www.linkedin.com/company/poshmark/
https://blog.poshmark.com/your-guide-to-posh-party-live/
https://blog.poshmark.com/posh-party-live-how-do-i-shop-and-share/
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