Timely shopper data across path-to-purchase from the industry’s largest in-store panel
VideoMining’s (VM) in-store shopper data fills in a critical need to understand shopper behaviors along path-to-purchase. It provides CPG manufacturers with shopper data and standardized metrics, benchmarked against select groups of relevant categories. Additionally, brands can access a complementary suite of tools and dashboards to generate customized insights supporting specific business queries.

The ‘in-store’ data quantifies shopper behavior and helps retailers and manufacturers optimize the shopping experience and category performance. This complements their existing buyer data while giving them a definitive edge to their marketing and merchandising strategies.

Captures in-store behavior data with a suite of advanced sensing and AI technologies

Comprehensive dataset across path-to-purchase, powering advanced analytics and insights

Brands can use VM’s range of analytics tools and dashboards to power custom analytics or generate on-demand insights for any imaginable area. The dashboards include:

  • Store Analytics

    • Store traffic
    • Average number of stops
    • Trip duration
    • Basket size
    • Queue length
    • Demographics
  • Aisle Analytics

    • Aisle traffic
    • Exposure rate
    • U-turn rate
    • Dwell time
    • Entry/exit point
  • Shoppability Analytics

    • Category traffic
    • Engagement rate
    • Shoppability index
    • Navigation time
    • Shopping time
    • Sequencing
  • Decision Analytics

    • Category buyers
    • Closure rate
    • At-shelf events
    • Pick-up location
    • Leakage
  • Basket Analytics

    • Brand buyers
    • Share of basket
    • Loyalty
    • Cross-brand purchases
    • Other buyer data

Industry’s largest in-store panel covering grocery and c-store channels

  • Provides advanced tools and dashboards to power insights when needed
  • Updates data each month and offers weekly granularity
Massive dataset
  • Tracks over 700 million shopping trips across grocery and c-store channels
  • Collects longitudinal data over space and time covering a large population
Unbiased and Comprehensive
  • Provides a 360-degree view of shopper behavior — integrates complementary data including POS, Loyalty Card and Planogram
  • Offers multimodal (Vision/WiFi/BT), non-obtrusive observations of real shoppers
  • Quantifies key shopper attributes including demographics, behavioral, and transactional
‘In-store’ shopper behavior data can provide new insights not available from traditional panel or transaction data.

We're committed to your privacy. VM uses this information to share with you only relevant content, products, and services. See our Privacy Policy for more information.