VideoMining, the leader in in-store behavioral shopper insights, proudly announces the release of a new syndicated product, the Brand Benchmark™. This innovative Behavior Benchmark™ report offers Consumer Packaged Goods (CPG) brands an unprecedented visibility into a brand’s in-store performance in the full context of the category and channel. It leverages proprietary AI-powered behavioral analytics to give CPGs visibility to the exact moment of truth where a brand wins, or loses, the battle at the shelf. ​

While traditional brand research often depends on qualitative insights gathered from surveys, focus groups, and simulated research environments removed from actual shopping scenarios, VideoMining's latest application of AI-powered behavioral analytics addresses this gap by incorporating the essential context of real life shopping experiences. Utilizing video data collected unobtrusively from actual retail locations across the U.S., VideoMining assesses various environmental factors—from store merchandising to shelf organization and SKU availability—examining how these elements shape shopping experiences and influence purchase decisions.

With more than 1.6 billion shopping trips analyzed annually within the U.S., VideoMining offers the scale needed to reveal crucial insights often concealed within retail environments. Utilizing patented AI-driven behavioral analytics and advanced deep learning models specifically designed to assess shopper decision-making processes, VideoMining's newest Brand Benchmark solution delivers the scale and accuracy required for the most effective assessment of a brand’s strength and vulnerability to competitive threats. The Brand Benchmark™ is currently available across more than 250+ categories for 10,000s of products.

Unraveling the In-Store Journey and At-Shelf Behaviors

This Behavior Benchmark™ report employs proprietary Brand Tracking Behavioral Analytics to offer a comprehensive analysis of brand performance at the shelf. This new capability leverages patented machine learning algorithms to look holistically at the total store environment that the brand exists within, providing detailed analysis of who the shopper is, how the shopper makes their decision, what influences behavior along the way, and what else was in their basket.

This comprehensive viewpoint will provide marketers a new dimension of brand tracking, beginning with an in-depth understanding of how decisions are made in-store and the influence that their brand has on the shopper’s ultimate choice. This includes:

• Brand Path to Purchase: providing marketers with a quantifiable perspective on how frequently shoppers are exposed to, and engage with, their brand and competitor’s brands. This includes new-to-market benchmarking capabilities that measure precisely how effective each brand is in engaging shoppers and closing the sale at the shelf.
• Brand At-Shelf Insights: featuring new patented decision analytics capabilities exclusive to VideoMining, this offers concrete measurements of brand strength and stability, providing a micro-moment level outlook on distinct behaviors of shoppers as they navigate the aisle, search for products, deliberate amongst brands, and make a purchasing decision.
• Brand Shopper Profiles: contextualizing brand performance through detailed analysis of the shoppers themselves, including patented demographic profiling, trip mission analytics, and transaction-level basket intel, marketers receive valuable context on who shops the category and who ultimately selects the brand in question.

Harnessing AI and Behavioral Science for Assessing Brand Performance

VideoMining's Behavior Measurement Platform™ captures detailed aspects of in-store shopper behavior through patented AI Sensors that produce video-based data from stores throughout the U.S. This technology offers precise metrics on how shoppers interact with in-store stimuli. By utilizing patented decision analytics and advanced deep learning models, VideoMining provides valuable behavioral science insights essential for effectively measuring brand strength.

The new Brand Benchmarking capability includes two new patented performance metrics that are exclusive to VideoMining and provide advanced decision analytics for brand tracking: Brand Stability Quotient, measuring brand purchase predictability, and At-Shelf Win Rate, assessing success in winning at-shelf decisions not predetermined by prior preferences.

Collectively, these tools deliver detailed, and actionable benchmark reports that answer brand’s most specific questions, like:

• How often do shoppers approach the shelf already committed to buying my brand?
• Where are the aisle hot spots that will boost my brand’s engagement?
• How much opportunity is lost due to engaged shoppers walking away empty-handed?
• How quickly do shoppers make the decision to select my brand over a competitor’s?
• How often does my brand win the at-shelf battle when there is active consideration between multiple brands?

These decision analytics provide brands with actionable insights, enabling them to pinpoint crucial challenges that safeguard and enhance their brand presence in stores. The new Behavior Benchmark™ is part of a comprehensive suite of services and reports provided by VideoMining, offering the fact-based intelligence that clients rely on for category growth, shopper marketing, experiential design, and now, brand-level performance and decision analytics.