Data Helps ThirdLove Shoppers Find The Perfect Fit
Retail Remix · with Heidi Zak · September 21, 2020 · 23 min
Summary
ThirdLove revolutionized bra shopping by embedding data into every facet of its business. This episode reveals how co-founder and CEO Heidi Zak leveraged proprietary fitting technology, customer feedback, and purchase history to drive product development, personalize customer experiences, and build a loyal community. It also highlights how a data-driven culture enabled the brand to adapt and thrive during the pandemic.
Key takeaways
Implement robust data collection across all customer touchpoints, including proprietary fitting technology and surveys, to inform product development and personalize the customer journey.
Utilize data not just for product and marketing, but to build a strong brand community and foster customer loyalty.
Develop a data infrastructure and a culture of rapid insight generation to enable quick adaptation to market shifts and unforeseen challenges like pandemics.
Continuously analyze emerging customer behaviors and preferences to refine offerings and maintain strong engagement, especially during times of disruption.
Prioritize personalization in e-commerce by tailoring product recommendations and communications based on comprehensive customer data.
Bra shopping has never been easy. Even in high-end locations with white-glove fitting services, consumers often find themselves with imperfect fits and money down the drain. ThirdLove was founded to make the bra shopping process painless. Using cutting-edge technology and data, ThirdLove has built a cult-like following because the company doesn't just make finding the perfect bra super easy; it helps customers feel connected to a larger community of like-minded individuals. But the brand's fitting technology isn't the only source of data used to power the business. During this episode, co-founder and CEO Heidi Zak reveals how data is embedded into all facets of the ThirdLove business, and how the team used new insights during the pandemic.
What does this episode say about retail & omnichannel?
Implement robust data collection across all customer touchpoints, including proprietary fitting technology and surveys, to inform product development and personalize the customer journey.
What does this episode say about dtc strategy?
Utilize data not just for product and marketing, but to build a strong brand community and foster customer loyalty.
What does this episode say about product & merchandising?
Develop a data infrastructure and a culture of rapid insight generation to enable quick adaptation to market shifts and unforeseen challenges like pandemics.
What does this episode say about analytics & attribution?
Continuously analyze emerging customer behaviors and preferences to refine offerings and maintain strong engagement, especially during times of disruption.
What does this episode say about retail & omnichannel?
Prioritize personalization in e-commerce by tailoring product recommendations and communications based on comprehensive customer data.
