Read x-hoppers analytics

Plan requirement

Subscription x-hoppers SuperHopper + AI

Which call points get used, how long customers wait, and how stores compare. Here is what to do with those numbers.

What you can see

  • Requests per call point. Which spots customers actually use.
  • Response times. How long between a scan and someone accepting.
  • Time on the floor per staff member.
  • Store comparison across your estate.

The two numbers that matter most

Call points with no requests

A call point nobody uses is in the wrong place, or badly signposted, or people do not know what it does. Move it or improve the sign; leaving it there teaches customers that the QR codes do nothing.

Requests that waited too long

Consistently slow response in one zone means staffing rather than technology. That is a rota conversation, and this is the data that makes it a factual one instead of an argument.

Look at the busiest hour, not the daily average. A store that responds in thirty seconds on average may take four minutes on Saturday afternoon, and Saturday afternoon is when it costs you a sale.

Comparing stores fairly

Footfall, layout and staffing differ, so raw comparison is misleading. Compare a store to itself over time first, and only then to others. A store improving month on month is doing something right even if it is not top of the table.

What not to do with it

Individual time-on-floor figures are tempting to use for performance management and usually a mistake. People optimise for the number rather than the customer, and accepting a request quickly to log a fast response helps nobody.

See also

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