Footfall: 7 ways to get more customers through the door

Footfall measurement systems

System of measurement How it measures footfall
Manual counters and observations A store employee acts as a footfall counter, manually tallying up the number of visitors.
Sensors Setting up sensor-activated, people-counting devices that track footfall with heat maps, pressure mats, infrared beams, or cameras.
Wi-Fi and mobile device tracking Wi-Fi picks up signals from mobile devices, tracking how long visitors spend in-store and whether they return. Location data can be integrated to understand where customers come from and their behaviour patterns while shopping.
AI and analytics tools Artificial Intelligence collects and interprets visitor data, then integrates this into CRM systems to provide actionable, data-driven insights.
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Key retail metrics

Metric Definition Why it matters
Conversion rate Percentage of visitors who buy Links traffic to revenue
Average Transaction Value Sales divided by transactions Tracks basket size
Dwell time The average minutes per visit Longer stays equal more sales
Peak versus off-peak traffic High versus low traffic hours Optimises staffing
Queue times Average wait length Impacts satisfaction

Footfall analytics and engagement tools

Tool What it does Use case
Data Cloud Unifies footfall and customer behaviour data, powering real-time, data-rich customer profiles. Combine footfall data with CRM profiles to segment customers based on online and in-store behaviour. Target specific customer segments with personalised marketing.
CRM Analytics Links footfall to sales and conversion dashboards. Benefit from visual insights, AI-powered predictions, and KPIs, contextualising footfall data in the customer lifecycle. Measure the impact of marketing campaigns on foot traffic.
Commerce Cloud Bridges digital discovery with in-store purchases. Entice customers with modern, feature-rich online shop fronts, linked to store inventories. Employ unified inventory management to maintain accurate stock levels for BOPIS purchasing.
Marketing Cloud Automates campaigns that drive in-store visits. Use AI to create and deploy timely, personalised online campaigns, drawing profitable customers to your store. Trigger real-time messages or offers when customers approach a store.
Retail Cloud Elevates the customer experience, acquiring profitable customers faster with unified, real-time insights. Recreate the personalisation of online shopping in-store by arming associates with inventory and shopper data.
Agentforce for Retail Scales personalisation and growth, delivering engaging and efficient customer service. Deploy AI agents to automate routine tasks, freeing up staff to deliver exceptional service on the shop floor.

FAQs

Different footfall tracking systems offer different levels of sophistication, accuracy, and expense. Some use AI to provide detailed analytics of customer behaviour on and beyond the shop floor, while others simply track the number of visitors entering a retail space. Unlike digital tracking or manual methods, systems that use sensors to count people require equipment installation and maintenance. While manual people counters are a more affordable option, human error makes this method less accurate.

CRM stands for Customer Relationship Management. These are software systems that help businesses to manage and improve the interactions they have with customers and streamline operations. They use centralised data, customer analytics, and automated sales and marketing processes to optimise the customer service experience and drive efficiencies.

Customer segments are the distinct groups within a pool of customers, differentiated by shared characteristics, behaviours or needs. Customer segmentation uses information such as demographic, location, purchase, or footfall data to group, analyse, and predict the behaviour of different consumer groups. This enables businesses to deploy more personalised messaging and improve customer experience.