Data Impact

Data Impact, founded in Paris in 2014 by Ludovic Gallen and Yacine Terki, operates as an analytics platform provider for companies in the fast-moving consumer goods (FMCG) sector. The firm established itself by developing solutions to help large consumer goods companies manage and optimize their omni-channel distribution strategies. A significant milestone in the company's trajectory was its acquisition by NielsenIQ in September 2021, a move designed to bolster NielsenIQ's omnichannel measurement capabilities by integrating Data Impact's granular, store-level e-commerce insights.

The company's core business revolves around a sophisticated analytics platform that leverages artificial intelligence and machine learning to transform complex data points into actionable strategies. Serving a client base that includes major international brands like Unilever, Pepsi, Danone, and L'Oréal, the platform enables businesses to monitor their performance, analyze competitors, and refine distribution strategies across both online and in-store channels. Revenue is generated by providing these data analytics services to consumer-packaged goods (CPG) manufacturers and retailers. The technology is designed to process billions of data points daily, tracking thousands of online stores across numerous markets to provide a comprehensive view of the digital shelf.

Data Impact's service offers a hyper-granular view of the e-commerce landscape, allowing clients to identify key actions to optimize their multichannel distribution and anticipate stockouts. By analyzing vast datasets, the platform provides insights into product availability, pricing, and promotional effectiveness. This enables CPG companies to make informed, data-driven decisions to enhance their market share and improve operational efficiency. The integration with NielsenIQ's broader retail measurement footprint aims to create a single, unified metric for online sales and provide clients with a comprehensive view of the entire marketplace, from product distribution to final sale.

Keywords: omni-channel analytics, CPG data analytics, FMCG data, retail measurement, e-commerce intelligence, digital shelf analytics, consumer packaged goods, competitor analysis, distribution strategy, in-store data, online data, AI algorithms, machine learning insights, performance monitoring, multichannel distribution, NielsenIQ, shopper journey, data-driven marketing, retail analytics, market intelligence