In search of a one-stop-shop provider for an extensive array of category and product data, the team turned to Datafiniti’s Product Data solution. This offered access to a vast database of over 80 million product records, including brand, model, price, features, and more. During the research phase, they considered other data providers but were unable to find one that rivaled Datafiniti’s capacity to meet their wide-ranging and unique needs.
“Traditional insurance providers use this type of product data only in the event of a claim when looking to replace the customer’s lost, stolen, or damaged possessions. Trōv is the only provider using real-time, in-market data to directly inform the quoted insurance premium and ensure customers pay for only what they need.”
Datafiniti’s Product Data equipped the team with a breadth of coverage and variety of site crawlers to eradicate the need to collate and merge disparate information from multiple sources.
- Transparent customer service. Receptive and unimpeded conversations with their Customer Success Manager about processes provided helpful insight into the capabilities of the Product Data solution. Datafiniti’s customer-centric attitude set the foundation for cultivating a strategic partnership.
- Real-time API calls. Instant queries produced real-time product information and updates within the Trōv app. Datafiniti’s instant access to frequently refreshed data allows Trōv users to purchase coverage for their valuables on-demand, entirely from their phone.
- Comprehensive product data schema. From electronics to sporting goods to photography, the ability to collect data from a wide variety of retailer websites supported Trōv’s promise to allow customers to protect the things they love. Datafiniti’s data quality generated dependable pricing information for an expansive list of products across many categories.
“Moreso than any other data provider we researched, Datafiniti was very responsive and forthcoming with sharing valuable insights about their product data solution. That ultimately helped us make the decision.”
