Which zone are shoppers walking past? Turning floor data into decisions
To find out which zone shoppers are walking past, you compare how many people pass a zone with how many stop in it. The gap between the two is the signal. Floor data from your existing cameras provides both numbers, and DataDime lets you ask for the comparison in plain language.
A zone that gets traffic but little dwell is a different problem from a zone that gets no traffic at all.
Why do zones go unnoticed?
Every store has areas that customers simply do not reach. Sometimes it is a back corner. Sometimes it is a display near the entrance that people walk past on their way elsewhere. The layout may look sensible on the drawing and still not work on the floor.
Sales figures alone do not explain it. A low-selling zone could be unseen, or seen and ignored, or seen and priced wrongly. Each has a different fix. Without floor data you are guessing which one applies.
This is part of what we call the physical retail data gap: online stores know where every visitor goes, and physical stores often do not.
Which zone questions are worth asking?
Start with a few that lead to action.
- Which zones are people walking past? High pass-by, low dwell.
- Which zones do they never reach? Low pass-by altogether.
- Where do people slow down? Long dwell may mean interest, or it may mean confusion.
- What changed after a reset? Compare a zone before and after.
- Where is the floor thin on staff? Match customer presence in a zone to staff presence.
For example, say a 40-store chain places a new range near the back of every store. If customers in most stores never reach that area, the issue is probably the layout, not the range. That is a finding you can act on.
How DataDime and Sakshi answer them
Sakshi reads the CCTV your store already has. It measures who walks in, where they go and how long they stay, and which zones they never reach. That is the raw signal.
DataDime lets you ask about it in plain language, next to the layout. You can ask which zone shoppers are walking past and see the answer against the floor plan. You can then follow with what a change might do, or where to add staff next month. For more on how that conversation works, read asking your stores a question.
This is also where the layout side matters. If a zone is consistently passed, you may want to change the layout rather than only the display. Our article on footfall, dwell and bounce explains the underlying measures in more detail, and DataDime shows how the questions are asked.
Turning an answer into a decision
An answer is only useful if it leads somewhere. Treat each finding as a small test. If a zone is passed by, try a change: move a fixture, adjust signage, shift a category. Then ask the same question again and see whether it moved.
Change one thing at a time, so you know what caused the effect. Keep notes on what you changed and when. And compare similar stores, since a mall store and a high street store will not behave alike.
Be careful about conclusions from a short period. Festival weeks, weather and local events all change footfall. Give any test enough time to be fair.
How to get started
- Pick one store and one question. For example, which zone are shoppers walking past?
- Get the layout and floor data together. The drawing and the camera readings need to describe the same space.
- Ask the question and read the answer against the plan. Note the zones with high pass-by and low dwell.
- Make one change. Move a fixture, adjust a display or change staffing in that zone.
- Ask again after a few weeks. If it helped, repeat the change in similar stores.