Identifying trends
After the video footage has been converted into shopping behaviour records,
they 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 types of research factor 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
-
From where visitors approach
-
Typical customer journeys
- Exit route
taken
-
Crowding areas
- Queuing details
|
- How they shop
- Products browsed
-
Products
handled
- Products selected
- Order of selection
-
Time
taken to select
-
Products evaluated then rejected
-
- Media values
-
Shopper sightlines
-
Time in view
-
Attention span
-
Hot spot rating
-
Missed opportunities
|
Fact:-
In many years of shopping behaviour analysis,
nobody has ever said that as a result of using our research tool, things
got worse - Only better!
Fact:- If as a result of using shopping
behaviour research sales of your product increase by just 1%, then your
bottom line improves considerably
Click on the
Causes and effects
title to learn more about how we analyse the resultant shopping patterns.
|
Identifying trends
After the video footage has been converted into shopping behaviour records,
they 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 types of research factor 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
-
From where visitors approach
-
Typical customer journeys
- Exit route
taken
-
Crowding areas
- Queuing details
|
- How they shop
- Products browsed
-
Products
handled
- Products selected
- Order of selection
-
Time
taken to select
-
Products evaluated then rejected
-
- Media values
-
Shopper sightlines
-
Time in view
-
Attention span
-
Hot spot rating
-
Missed opportunities
|
Fact:- C-BAS allows for every research factor to be
analysed against every other factor thus providing the most comprehensive
analysis and a massive amount of information for clients.
Fact:- Shopping behaviour analysis helped
identify the fact that there is a direct but surprising correlation
between the size of a product range, the conversion rate and the time
taken to select or reject
Click on the
Causes and effects
title to learn more about how we analyse the resultant shopping patterns.
|
