| Identifying trends
Shopping behavior records are filtered and cross tabulated by as many as 50 different factors. The armoury of information subsequently obtained is phenomenal. Below are listed a small selection of the research factors that are filtered:
Who shops
Age groups of visitor
Gender
With partners/children
Buyers/non buyers
Trolley or basket
With previously selected items
Where they go
Stopping points (Category signposts)
Traffic flow analysis
Crowding areas and dead zones
Shelf height analysis
Queuing details |
How they shop
Products browsed
Products handled
Products selected
Order of selection
Visitor to buyer conversion rates
Products evaluated then rejected
Media values
Shopper sightlines
Time in view
Attention span
Hot spot rating
Missed opportunities |
Consider the significance of quantifying and then being able to reduce the percentage of shoppers who actively browse your products but don't then buy them. We have helped clients to improve conversion rate and subsequently sales by as much as 350%.
Our clients are our priority and we endeavour to develop genuine partnerships with them. However, the shopper and the consumer are at the foundation of all that we do. |
