LightHaus Visual Customer Intelligence lets retailers go beyond traditional people counting and know what their customers are doing inside their stores—before they reach the checkout. With LightHaus VCI, you can bring the power of online customer analytics to your brick and mortar stores. Read on to learn how LightHaus helps every member of your team and start turning browsers into buyers today.

LightHaus Visual Customer Intelligence lets you
Know…
- How many customers and when
- Where they go
- What they browse
- How long shoppers browse
- Which displays engage shoppers
- What percentage of browsers buy
- How many staff per customer
- How many visitors a ad drives
- Your customer demographic
So you can…
LEADERSHIP
- Manage Performance—Compare performance by store, region, or banner-wide. Quickly see exceptions or under-performance. Drill down to view a single store’s history, or day-of-week comparisons, and decide where to focus problem-solving. Focus you efforts on your poorest performers or your biggest sales conversion opportunities.
- Manage at Customer Speed—React in real time to the ever-changing retail shoppers. At your Monday morning meetings, see what happened in-store on the weekend and take action in your stores.
- Manage Staffing—Understand the impact of staff-to-shopper ratios. Set guidelines to ensure there are sufficient staff on the floor to support customers—but not more than necessary.
- Manage Ahead of the Market—Gain shopper insights and identify week-on-week trends. Enable better merchandising and promotion strategies to increase revenue and profitability.
OPERATIONS
- Manage in Real Time—Get real-time updates on store traffic and sales conversions. React to unexpected shopping peaks or valleys, investigate, and act immediately.
- Manage at All Levels—Give store operations personnel the information they need to improve sales. From head office to the field, retail staff can watch shopper traffic, monitor engagement and sales conversions, identify exceptions, and react with real-time merchandising and promotion decisions that help increase revenues.
- Manage Staffing—Improve customer service and in-store sales. Match staff schedules to shopper/transaction profiles. Plan and allocate sales associates based on trends and peaks to ensure optimal customer service levels, from hourly to annual.
- Manage Store Layout—Optimize store layouts based on where shoppers go and where they browse. Discover dead zones you didn’t know you had. Know where to add displays or change traffic flow to increase retail sales.
- Manage for Local Conditions—Obtain shopper traffic data that validates local requirements. Prove that local customer profiles demand different sales associate-to-customer ratios than leadership initially forecast.
- Manage for Events—Understand how events and activities impact shopper traffic. Improve support for marketing programs, extended hours, or special events with data that helps determine the right sales associate-to-customer ratios. Repeat, modify, or re-evaluate product promotions based on shopper tracking data.
MARKETING
- Manage the Opportunity—Use accurate shopper counts to measure shopper traffic to and within your stores. Compare store traffic with actual sales conversions to see how well your stores are capturing the opportunity.
- Manage Marketing Effectiveness—Obtain timely knowledge of program impact on shopper traffic and customer engagement. No need to wait for monthly or quarterly statistics. Analyze patterns around specific programs, see shopper traffic peaks and dwell swells, and compare across retail markets. Demonstrate the correlation between marketing campaigns and conversion rates for the category, brand, or products while the campaign is still running.
- Manage for Exceptions—Compare data across markets to investigate and act in a timely manner. Identify regions where conversions lag while the same campaign is successfully driving shopper traffic in other regions.
- Manage as a Team—Acquire insights that allow you to work closely with operations and merchandising to improve in-store campaign execution. Pinpoint why increased traffic is not converting into sales. Ensure optimal customer experiences in-store that lead to sales.
- Manage Digital Marketing—Understand how in-store digital displays impact brand/product conversion. Count how many people view a display, how long they engage with the message, and assess the conversion impact on the brand advertised.
- Manage A/B Testing—Make choices based on objective information—accurate people counts. Obtain quantitative data that proves A generated more traffic and conversions than B.
- Manage Staffing to Support Programs—Ensure sufficient staffing to ensure successful campaign results. Provide the data that lets you work with store operations to optimize staffing levels and get maximum conversion for the increased traffic your campaign is driving through the doors.
MERCHANDISING
- Manage Display Space—Identify prime locations for high margin merchandise. Evaluate sales conversion rates for a display space as well as its straight sales figures.
- Manage Store Layout—Optimize store layout and product placement based on where and how long shoppers browse. Track shoppers and discover dead zones you didn’t even know you had. Add a display, change the traffic flow and bring that zone to life.
- Manage Product Placement—Measure and manage in-store product placement based on accurate people counts and dwell data. Stop using assumptions when you place dump bins or bulk stacks. Take advantage of heat maps that show traffic ebb and flow around those products.
- Manage Supplier Revenue—Optimize brand sales and marketing resources. Provide dwell and customer engagement analytics that clearly support the value of specific display space such as end-caps and eye-level shelves.
- Manage Product Offerings—Discover which products your customers are browsing but not buying. Identify and address situations where products engage shoppers enough to browse but not enough to purchase.