Increasing Store Efficiency and Walk-in Conversion Rates
Unlike for e-commerce, Retailers have no high-resolution data for understanding the performance of in-store promotions and initiatives. They cannot optimize in-store usage of space and mitigate the impact of variations in traffic flow due to regional or localized elements because they can only rely on inferred data that is collected across a wide range of stores and data points.
ENTERA™ provides comprehensive and accurate shopper journey insights, detailed socio-demographic breakdowns, and detailed analysis of shopper behavior related to specific points of interest. Drive revenue growth by maximizing operational efficiency of staff and space while specifically measuring effectiveness of sales and marketing campaigns.
The benefits of using ENTERA™ for Retail
Demographically Classified In-Store Journeys
Understand shoppers’ in-store journey to identify the best path to purchase. Study shopping patterns and behaviors of key socio-demographic groups to build better targeted sales and marketing campaigns.
Visitor and Staff Engagement
Identify high-traffic areas in your physical facility by analyzing heat maps and visitor engagement rates with staff and space. Quickly identify and address inefficiencies to increase your revenue per square foot.
Path to Purchase
Measure the performance of specific areas, such as an entrance or point of sales, with insights on dwell-time and visitor behavior through journey analysis. Optimize your spaces to effectively drive sales conversion goals.
Get accurate data on in-store traffic, store affluence, dwell-time and identify high-traffic areas. Understand your peak hours and days, to improve your operations and inventory for a better in-store experience.
Identify your top-selling products to understand why they attract sales and improve your product mix. Optimize product placement to encourage product discovery and increase basket size.