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Physical stores present a great opportunity for retailers to connect with the customers, attract them and inspire the loyalty. Selling goods in-store is now an Omnichannel experience driven by Digital Transformation especially, mobility, analytics and IoT.The data on customer preferences, buying patterns, demographic attributes help retailers to optimize their business in a better way, be it in terms of targeted promotions, staff optimization or increased sales conversion.

Smart retailers are looking for advanced in store solutions to evaluate the total sales opportunity by accurately counting the store traffic, gauging customer behavior in-store and related conversion. Are you in?

In-Store Analytics demo


  • Total Visitors
  • Unique Visitors
  • Repeat Visitors
  • Total Visitors (Loged In + Anony-mous First Time/Guest Users + Anonymous Repeat Users)
  • No of costumers who are offered Real-time promos or Personilized Recommendation on Specific pages-PDP, Cart Page etc
  • Logged in Customers
  • Click through rate on customer specific offers / recommendations
  • No. Of Conversions
  • No. Of Likes / Reviews
  • Traffic
  • Engagement
  • Customer Identification
  • Reach-Out
  • Response to
  • Purchase
  • Loyalty/Advocacy

Technology Enabler

  • Video/Thermal Imaging
    based people counting
  • Beacon/Sound based (App
    Installed: Known +
    Anonymous Customers )
  • Beacon/Sound based
    (known Customers)
  • Beacon/Sound based
    (Engagement Notifications
  • Mobile App Analytics
    (Notifications Clicked on or
    Favorite /Subscribed to)
  • PoS(Transaction Count)
  • Facebook/Social Media/Exit Survey
    (Reviewed Product/Liked/Provided
    positive Feedback Net Promoter Score)
    • Footfall 2800
    • Engage-able 1700
    • Identified 1480
    • Reached 1300
    • Engaged 1150
    • Purchased 800  +  900

(Anonymous customer purchases)

  • Liked 400

Conversion Rate

  • 100%
  • 61%
  • 50%
  • 60%
  • 46%
  • 1700
  • 14%

Why In- Store Analytics solutions?

Retail in-store analytics is vital for providing near-real-time view to key in-store metrics, collecting footfall statistics using people counting solutions (video based/thermal based/WiFi-based). This information is fed into in-store analytics tools for measuring sales conversion by co-relating traffic inflow with the number of transactions and value of transactions. The deep insights from such near real-time views of traffic, sales and engagement help in planning store workforce needs based on traffic patterns. Reliable in-store data and analytics solutions enable better comparison of store performances, optimizing campaign strategy, improved assortment and merchandising decisions.

Happiest Minds In-Store Analytics Solution

Challenges related to change management, technology implementation,work force management, backend operational discourage players from leveraging smart in-store analytics solutions in physical stores. Happiest Minds addresses all these challenges in a better way. Our In-store Analytics solution, which is available on cloud andon-premise, leverages digital technologies like mobile, beacon/ location tracking devices, video based people counting, analytics to monitor and improve in-store efficiency, increaseemployee productivity and sales. Thein-store conversion dashboard, with multi-dimensional drill down views, provides location view, time view and demographic view of your key in- store metrics and KPIs.

Our Technology Enablers

  • A combination of video, thermal imaging and Wi-Fi based people counting
  • Beacon technologyimplementation for better customer engagement
  • Mobile app analytics for engagement around engagement/reach-out effectiveness
  • POS integrations to capture transaction data
  • Omnichannel insights on in-store metrics in co-relation to online behavior and vice-versa

Features & Benefits

  • Dashboard with multi-dimensional drill down view – time, location, demography
  • Funnel and store layout views for intuitive and actionable business intelligence on store performance
  • Real-time insights on footfall, customer identification, engagement and conversions at store/ department/zone level.
  • Can be used bymall owners to track store/mall performance
  • Reports that help identify customer buying patterns and preferences
  • Analytics to measure customer loyalty and engagement
  • Wi Fi usage analytics
  • Social media integration and analytics
  • Actionable business intelligence on store performance
  • Better mapping of customer journey and building stronger connections
  • Increased customer engagement and loyalty
  • Optimized retail omnichannel operations
  • Optimized sales staff performance
  • Understand customer profiles and promote targeted offerings
  • Effective customer segmentation and campaign planning
  • Increased sales conversion


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