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:

Ankur Uttam -

https://www.linkedin.com/in/ankuruttam/

Poshmark -

https://www.linkedin.com/company/poshmark/

Posh Party LIVE -

https://blog.poshmark.com/your-guide-to-posh-party-live/

Share Shows -

https://blog.poshmark.com/posh-party-live-how-do-i-shop-and-share/

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