How V12’s E-Commerce Strategy for Selling Data is Transforming the Self-Service Industry
Yinnette Olivo
as Director of Product
This UX case study delves into how V12’s innovative B12 product platform and self-service data marketplace are revolutionizing customer interactions and data purchasing behaviors, setting new standards in the digital marketplace.
The Vision
As the lead UX designer at V12 Data, I spearheaded the creation of the V12 Marketplace—a next‑generation platform that allows automotive marketers to discover, evaluate, and purchase targeted customer segments without manual intervention.
My goal was to eliminate friction from the data‑buying process. Instead of relying on sales teams to manually assemble lists, clients would independently browse a rich catalog of customer segments—filtered by demographics, purchase intent, and engagement history—and complete transactions in minutes. This vision focused on marrying powerful data analytics with an intuitive interface that guides users from discovery to deployment.
North Star
The Theme
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The Challenge
Prior to the Marketplace, V12’s data offerings were accessible only through custom quotes and lengthy back‑and‑forth emails. Clients faced multiple attributes and data sources required expert guidance, manual quote generation stretched over days, delaying campaigns, and users lacked clear previews of segment performance and cost estimates. These barriers led to under‑utilization of V12’s rich data assets and limited recurring revenue opportunities.
To bring the V12 Marketplace to life, I began by conducting in‑depth user and stakeholder research—interviewing marketing managers to map their decision workflows and collaborating with sales and data science teams to understand our underlying data models and pricing logic. Leveraging these insights, I iteratively crafted low‑fidelity wireframes and ran rapid usability tests, refining filter controls, terminology, and the checkout flow until users could confidently navigate the catalog.
The Results
The Advanced Filter Controls were adopted by 90% of users, enabling marketers to narrow thousands of segments down to relevant audiences in under two minutes, while Performance Preview Cards achieved a 75% engagement rate by letting users validate segment quality before purchase and boosting confidence in selection.
Meanwhile, AI Recommendation Banners influenced 65% of segment purchases by highlighting high‑value audiences tailored to past campaign performance, and Dynamic Pricing Cards guided 80% of users to optimal segment choices by presenting real‑time cost estimates and ROI projections directly within the browsing experience.
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