Maximising Flagship Store Performance During a High-Traffic Event
Conversion projected 1.85% → ~5%; ATV +10–25%; dwell time in cold zones +20–50%
A sportswear flagship deployed Tictag Insight to fix peak-hour understaffing, lift underperforming zones, and counter competitor promotions — turning high-traffic events into measurable sales uplift.
Problem
The sportswear retailer was understaffed during evening peak hours, leaving customers unassisted. Several store zones underperformed despite premium positioning, high foot traffic failed to convert into sales (especially for premium products), and competitor promotions were eroding revenue without any clear counter-play.
Solution
Tictag Insight, our AI-powered retail analytics platform, addressed each gap: optimising staff deployment during peak periods, identifying underperforming zones via dwell-time monitoring, analysing customer journeys to surface high-intent visitors, and detecting competitor promotion patterns to deploy strategic counter-offers without margin erosion.
Results
- Conversion rate projected to improve from 1.85% to ~5%
- Average transaction value anticipated to rise 10–25%
- Dwell time in underperforming zones expected to increase 20–50%
- Peak-hour service efficiency improvements between 17:00–19:00, reducing missed customer interactions
- Stronger revenue retention during competitor promotions through tactical offers