Heatmap by time

• A “time-lapse” view that plays back the heatmap in chronological order.
• See when and where the store gets busy, and how the flow shifts.
• Useful for peak-time management and time-of-day marketing strategy.

Heatmap by time visualizes customer activity along the time axis. While the standard Heat map is a static “all-day summary,” Heatmap by time lets you watch density and movement change continuously, like a time-lapse video. You can quickly identify when and where the store gets crowded and which times suffer reduced operational efficiency.

Report layout

Customer activity changes over time visualized as a time-lapse

In-depth Visit-based analysis

• Analyze the Visit-based heatmap by time of day.

Examples

• Identify zones that get crowded at specific times and manage congestion.
• Find zones with relatively low visits and place strategic merchandise there to redistribute traffic.

Activity visualized over time

• Use filters to view changes in customer activity at one-hour intervals.
• Track how red and blue color distributions shift by time of day to follow congestion changes in the space.

Examples

• Track how peak times shift precisely (for example, 12:30 lunch-box corner → 12:50 checkout).
• Discover localized hotspots that occur only at specific times and run target marketing.

Dynamic resource allocation

• Optimize the placement of staff, checkouts, and inventory based on visit density by time of day.

Examples

• Maintain minimum staffing during quiet hours, then redeploy staff to focus on customer service at peak times.
• Optimize checkout operations around lunchtime to minimize wait times.

Time-targeted marketing

• Plan your marketing timing using time of day + zone activity + customer group (gender / age group) behavior.

Examples

• Plan marketing around the zones and times specific customer groups visit.
• If women in their 30s actively visit the baby-products corner around 10 a.m., plan a “Mom’s Time” flash sale at that hour.

Expected outcomes

Operational optimization

• Flexibly adjust staff, facilities, and inventory based on traffic by time of day.
• Reduce waste and maximize efficiency.

Better marketing performance

• Plan marketing around the times and zones where customers gather.
• Deliver the right message and increase marketing conversion.

Better customer experience

• Anticipate crowded times and pre-staff in advance.
• Minimize the stress of waiting and increase shopping satisfaction.

Use cases

• Peak-time operations — Identify path bottlenecks during peak hours and reposition staff.
• Time-of-day campaigns — Design different promotion messages for lunch, evening, and other windows.
• Event impact measurement — Track traffic changes during the hours of an event.

Advanced tips

Track changes by hour and set baselines

• Compare with historical data:
  • Compare with the heatmap from the same day of the week and the same hour in the prior week or month.
  • Diagnose how external factors — promotions, display changes, weather — affect visit traffic.
• Confirm a normal traffic range:
  • Compare customer activity at a specific hour with average visit patterns to use as a baseline that determines whether a hotspot or cold zone is temporary or structural.
  • If a normally red zone turns blue at a certain hour, it signals the need for an operational check.

Time-of-day comparison by target

• Compare time of day by gender and age group:
  • Separate the target groups and compare their Heatmap by time results.
  • Confirm that different customer types show interest at different hours in the same space, and design tailored strategies.

Example workflow

The following is a multi-step analysis flow built around Heatmap by time.

1. Find the rhythm — From Heatmap by time, spot that the “appliances corner” gets crowded at 3 p.m. on weekends.
2. Trace the path — Use [Main path] to see which routes brought customers to the zone.
3. Diagnose performance — Use the [Zone interest analysis] matrix to determine whether the corner is a “leaky bucket” (high visits, low interest).
4. Validate conversion — Use [Purchase conversion analysis] to confirm whether sales actually occur at that hour.
5. Execute and measure — Based on the validated evidence, invest resources at that hour (POP repositioning, staffing, etc.).

Summary

Heatmap by time is a time-based dynamic analysis tool that answers “when, where, who, and how much.” It is one of the core features that helps you optimize operational efficiency, marketing performance, and customer experience all at once.