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Poshmark stands out as a beacon of innovation and success in today’s ever-evolving E-commerce landscape. With over 80 million customers and 200 million listings, this bi-directional social marketplace seamlessly caters to buyers AND sellers (while maintaining zero inventory!).
To unravel the secrets of Poshmark’s success, we sat down with Katie Lay, Sr. Director of Retention, and Aziz Vahora, Director for Growth Data Engineering at Poshmark, at our first-ever #GROWTH Summit in NYC.
Leading the discussion, Rachel Bergman, GM – North America at MoEngage, explored the distinctive roles of Katie and Aziz at Poshmark and the remarkable ways they leverage data, cross-functional collaboration, and AI to elevate customer experience at Poshmark.
Note: You can watch the session on-demand and read the takeaways below. |
Let’s dive into the key takeaways from this enlightening discussion:
Unlike traditional E-commerce platforms, Poshmark is a marketplace that harmonizes the needs of both buyers and sellers. It acts primarily like a secondhand re-seller, which does not maintain inventory. Through its unique interface, Poshmark facilitates sellers to reach out to a much larger customer base than they would normally be able to. This business model makes it necessary for the brand to maintain a close relationship with its sellers and buyers.
Apart from Poshmark’s bi-directional marketplace functions, the brand focuses on nurturing communities and forging relationships with buyers and sellers, known as ‘Poshers.’
There is also an emphasis on social aspects, i.e. buyers can actively engage with sellers through various features, such as following sellers’ closets, liking items, sharing, and commenting. These interactions enable sellers to discern interested buyers and their preferences.
Apart from enabling relationships between buyers and sellers and getting “buyers in the door,” Katie and her team focus on enabling the ‘journey of discovery’ for both customer groups.
This means that she and her team aren’t just tasked with looking at single customer journeys, they also have to look at:
Poshmark’s bi-directional marketplace model presents unique challenges for the data engineering team, such as:
The session highlighted the strong partnership between Katie and Aziz’s team, which is the linchpin of Poshmark’s success. Their collaboration ensures that data drives marketing efforts with precision.
Elaborating on cross-functional collaboration, Katie emphasized the need for marketing teams to frame problems rather than pre-determining solutions while allowing data to steer decision-making.
You must intentionally build these kinds of cross-functional relationships [in the organization]. Marketing’s job is to frame the problem, not the solution, and to frame the outcome you want rather than how you wish to have it done.
– Katie Lay, Sr. Director of Retention Marketing at Poshmark
Poshmark is currently navigating an experimental phase with AI while double-downing on retention. They launched “Posh Lens,” a user-friendly feature enabling product searches through images. This innovation has helped streamline the customer journey, making it more intuitive and efficient.
When introducing a new AI tool, we think about what we want to add and why, how it will help our end customers, how it will change their journey, and how it will make it more seamless by removing a step from that journey.
– Aziz Vahora – Director of Growth Data Engineering
Here are some best practices for marketers dealing with AI solutions, discussed during the session:
Data hygiene and cleanliness is the most important step for any AI solution. Before you embark on your AI Journeys, understand your data and ensure it is clean and standardized. Standardizing the data allows your AI to process it quickly and cost-effectively, producing a consistent and trackable output.
– Aziz Vahora – Director of Growth Data Engineering
That’s all from our discussion with Poshmark! We hope you have some valuable insights to take away from the session.