Driving retail growth: Putting location data to work with Adsquare Analytics

Understanding consumer interaction with physical stores is paramount for retail growth in today’s competitive landscape. Adsquare Analytics provides brick-and-mortar retailers with a comprehensive, data-driven view of just this—enabling smarter planning, activation, and optimisation decisions. By analysing foot traffic patterns, customer catchment areas, competitor performance, and visitor demographics, Adsquare unlocks rich and ready to activate insights.

Footfall insights: Discover visit trends

Beyond mere visitor counts, retailers require granular insights into footfall patterns: when customers visit, their return frequency, and which locations perform optimally. Adsquare Analytics utilises 100% SDK-derived and consented location data from mobile app users to anonymously aggregate visits to defined Points of Interest (POIs), ensuring insights without identifying individuals.

The Analytics dashboard provides key metrics that transform raw visitor counts into actionable strategies for marketing, staffing, and in-store experience planning:

• Total Visits: The estimated number of visits to the selected POIs, offering insight into the total volume of foot traffic.
• Total Visitors: The estimated number of unique customers engaging with a location, offering insights into audience reach.
• Visit Frequency per Visitor: The average number of visits made by each visitor, indicating engagement and loyalty.
• Popular Day Analysis: Identifies peak traffic days to optimise promotional timing.
• POI Overview Table: Presents visit and visitor trends by store location, allowing for early identification of underperforming locations for timely operational adjustments.

For example, Popular Day Analysis allows brands to time in-store promotions or digital ads around peak traffic days while high visit frequencies can highlight loyal customers who can be re-engaged with personalised offers.

Catchment areas: Pinpoint your customer hotspots

Understanding where concentrations of customers live is crucial for effective regional marketing and store network planning. Adsquare Analytics visualises customer catchment areas by analysing the residential postcode areas of store visitors in a privacy-safe way. Retailers gain insights into:

• Visit Share: The percentage of a store’s visitors originating from specific postcode areas, relative to the total visits across all postcodes uploaded by the advertiser or those selected for tracking.
• Penetration Rate: The proportion of people, in %, who visit your store and also live in the area, out of all the people who live in the area.
• Opportunity Growth: Areas identified as high, medium, or low potential for further growth.
• Top Performing and Underperforming POIs: Sort and filter POIs by the highest and lowest visit share, with options to view the top or bottom 25%, 50%, and 75% of locations.

This insight enables high-impact strategies, such as prioritising stores with strong local audiences and adjusting localised marketing efforts. Conversely, low-penetration areas with large untapped populations become prime targets for acquisition campaigns. For instance, a sportswear brand discovering high growth potential but low penetration in a neighbouring postcode can launch a targeted awareness campaign using ID-Precise or Geo-Contextual segments to efficiently capture new customers.

Competitor insights: Know your market position

In a crowded market, knowing your performance relative to competitors is key. Adsquare Analytics offers powerful competitor benchmarking by mapping market share metrics against your store catchment areas. Retailers can track:

• Market Share: The proportion of visitors attributed to each competitor, as defined by platform users.
• Market Leader Identification: The brand with the highest penetration rate in the area.

These insights provide clear visibility into strengths and vulnerabilities. If a competitor dominates footfall in a certain region, brands can immediately respond by reallocating media spend to those zones and running conquest campaigns designed to shift shopper behaviour. For example, a quick-service restaurant chain observing competitor dominance in certain suburbs might deploy targeted offers or exclusive menu items, combined with proximity-based digital ads, to reclaim market share.

Audience insights: Understand customer demographics 

Beyond foot traffic and geography, understanding customer demographics allows for sharper retargeting and creative alignment. Adsquare Analytics delivers detailed audience insights by breaking down store visitors by age and gender. Integrated with Adsquare Activation, these insights enable instant audience segment building, without switching tools:

• Adjust creative messaging based on dominant demographics (e.g., tailoring offers for a predominantly 25–34 age group).
• Test and compare different creative strategies across demographic segments.
• Build lookalike audiences to expand reach to new or similar customer groups.

For example, a cosmetics retailer with strong visitation among women aged 18–24 could develop influencer-led campaigns targeting similar audiences both online and offline, driving brand affinity and store traffic.

From insight to action: Seamless activation

The true value of insights lies in how simply they can be activated. Adsquare Analytics ensures that all insights are activation-ready, seamlessly connecting analysis to programmatic campaigns through Adsquare’s DSP integrations. Retailers can activate campaigns based on:

• ID-Precise Activation: Retargeting devices seen at POIs, leveraging Mobile Advertising IDs (MAIDs) for precise, privacy-compliant messaging via display, social, or CTV channels.
• Geo-Contextual Activation: Targeting users currently in high-opportunity zones, combining real-world location signals with behavioural data for maximum relevance.

For instance, a clothing retailer could target shoppers who recently visited a flagship with a flash sale ad on social media, or trigger location-based offers when potential customers are nearby. This closed-loop capability—from insights to activation—ensures that every data point translates into tangible business outcomes, such as increased CTR, foot traffic, and conversion rates, ultimately driving ROI. 

Conclusion

Adsquare Analytics empowers retailers to leverage location intelligence for growth by harnessing footfall insights, catchment area analysis, competitor benchmarking, and real-world audience profiling. This enables smarter planning, more precise targeting, and optimised marketing strategies for measurable results. With activation built directly into the platform, insights seamlessly translate into action—ensuring brands remain agile, competitive, and customer-centric.

Ready to turn location data into measurable retail outcomes?
Request a demo of Adsquare Analytics today and start building a smarter, location-driven growth strategy.