Product choosing behaviour exposed through eye tracking

Typical room scene

Typical Big Bathroom Shop room scene

This week, we had a retailer of bathroom suites in for a day of eye tracking. The testing covered a range of customer journeys and a range of bathroom websites. Whilst I can’t disclose all the good stuff we discovered there is a key finding that I’ll share, as we’ve seen it many times before, in other B2C testing and one that may help a few online retailers out there.

As a retailer, you want to display your products in the best possible way, helping your customer choose the most suitable product. Logic tells you that the best way to do this it to have very clear photography of the actual products, helping the user see the differences between them.

Scene showing Wall Stickers from Wallglamour

Scene showing Wall Stickers from Wallglamour

Eye tracking showed us that the users do make initial decisions using the photography and then supporting information like price. We all know that good photography is the cornerstone of a successful online shop. What we saw again in this testing, is that users prefered to chose products that were displayed in room scenes that they liked, over products that were displayed individually. In essence, the users were buying a ‘look’ and not the product, even though the retailer is only supplying the key items displayed, not the total look.

What does this mean to a retailer?
If your product creates a ‘look’, I would recommend conducting some A/B testing to compare the effectiveness of scene photography and component photography. I would also make sure that you have a range of different scenes, so that your products look distinctly different. Displaying different products in the same room scene will not work. You need different products in different room scenes. The down side to this is that if the customer doesn’t like your room scene, they won’t buy the product.

How did we see this?
Eye tracking allows us to see through the users’ eyes and observe their decision process.

Written by Guy in: eye tracking,usability |

No Comments

RSS feed for comments on this post.

Sorry, the comment form is closed at this time.