VideoMining’s ShopperImpact@ platform for shopper-centric collaboration and shelf-level insights
New product aimed at boosting category management and shopper marketing processes with continuous feedback from actual shopper behavior
VideoMining is proud to unveil a new product called ShopperImpact@™, which utilizes granular in-store behavior data and analytics at the retailer account level to empower shopper-centered practices in category management and shopper marketing.
“The foundational reports from our annual MegaStudy tracking programs have become an invaluable source for grocery and convenience channel insights,” said Rajeev Sharma, Founder & CEO of VideoMining. “But this new platform will enable access to ongoing retailer-specific data and tools needed to bring shopper-centric approaches to retailing, including enhancement of the scorecarding and assessment steps as recommended by CatMan 2.0.”
The new ShopperImpact@ platform offers account-specific activation at a variety of retailers from large grocery retailers such as Ahold Delhaize to regional c-store chains. This provides a new opportunity for manufacturers to partner closely with retailers to continually incorporate in-store behavior analytics into their evolving Category Management and Shopper Marketing practices. Aligning these collaborative processes with real in-store shopper behavior will help improve the shopper experience and conversion – a critical success factor in today’s fast-changing retail environment.
“While we have long provided foundational channel-wide insights, category managers typically work at the account level,” stated Richard Hirata, SVP Shopper Science at VideoMining. “As we transition to offering ongoing, account-specific data, we now have the opportunity to become an integral part of the day-to-day process as CatMan practitioners begin to adopt more elements of CatMan 2.0.”
The ShopperImpact@ platform will enable powerful in-store behavior analytics for each operating division and store cluster of a participating retailer. Thus both retailers and manufacturers will have robust options for measuring the impact of specific in-store tactics as well as broader strategic decisions. Category management practitioners will be able to maximize marketing ROI with more accurate measurements on how promotions, messaging, merchandising and other shopper marketing initiatives truly influence in-store shopper behavior before impacting category/brand performance.
ShopperImpact@ will empower manufacturers to put the shopper at the center of their shopper marketing and category management processes with detailed, account-level analytics. The platform will provide detailed information at the shelf level via the Decision Analytics feature, which determines whether shoppers make their decision at-shelf or pre-shelf. More broadly, ShopperImpact@ generates storewide data that will provide a holistic understanding of a retailer’s unique shoppers in a total-store context.
VideoMining’s ShopperImpact@ platform uses proprietary IoT sensing devices called OmniSensR and patented machine learning and AI technologies to capture, analyze and interpret big data on in-store shopper behavior from a representative panel of stores.
VideoMining is the leader of in-store behavior analytics for Consumer Packaged Goods (CPG) manufacturers and retailers. VideoMining’s deep analytics platform utilizes a patented suite of sensing technologies to capture in-depth shopper behavior data. These previously unmeasured insights are then integrated with multiple other data sources such as transaction, planograms, product mapping, loyalty and promotions to fuel comprehensive solutions for optimizing CPG Retail.
VideoMining’s client base includes a majority of the top 50 CPG retailers and manufacturers, who gain unprecedented visibility into in-store shopper behavior enabling them to get the most value from their investments in Shopper Marketing, Category Management and Brand Innovation.
For more information, contact Jeff Hershey at firstname.lastname@example.org or 800.898.9950.