NEW YORK, Nov. 15, 2019 — Velocidi, the customer data platform for direct-to-consumer (DTC) brands, was awarded the title of “Best Customer Data Platform” at the Digiday Awards Gala on November 14, 2019.
The Digiday Technology Awards is an annual competition that recognizes the technology modernizing media and marketing. The judging considers creativity, innovation, consumer value, and impact on KPIs. Based on these criteria, Velocidi was singled out as the winner among worthy finalists including Arm Treasure Data, and Simon Data.
This award specifically recognizes Velocidi’s case study with Barkyn, a DTC pet food company. Barkyn used Velocidi’s machine learning audiences tool to segment website visitors based on their likelihood to buy and reach only the most likely buyers in their retargeting campaigns.
With Velocidi’s machine learning audience segments, Barkyn not only doubled their retargeting return on ad spend (ROAS), but also saw almost double the sales generated from retargeting, and five times the purchases per 1000 people reached.
“We were honored and excited to be named a finalist in August, but to take home the win for this category amongst these players is an amazing affirmation,” says Paulo Cunha, CEO of Velocidi, “To me this reinforces our continued commitment to focus on client results and let those results speak for themselves.”
Velocidi was also named a finalist for the “Best Personalization and A/B Testing Platform” category, which was announced in August, and the “Best use of AI” category in the Digiday Awards Europe, which will be announced on December 4.
A full list of winners is published on the Digiday website.
Velocidi is a customer data platform (CDP) company headquartered in New York, with offices in Porto, Portugal. We deliver machine learning solutions to maximize revenue from marketing and accelerate growth. We give our clients the advantage of a private infrastructure as if it were built in-house. Velocidi is used by DTC brands to collect and unify 1st-party customer data, leverage machine learning to predict customer behavior, directly activate audience segments on advertising platforms, and maintain complete ownership and control of their data.