As part of our Vacuum Cleaners Content Effectiveness Rankings report, we analyzed image trends and best practices of vacuum cleaner listings on Amazon. Based on the results, we decided to provide creative updates to a low-scoring carousel image on the Dyson V11 Extra Cordless Vacuum Cleaner - Nickel/Red, Large using Vizit’s predictive analytics and image insights.
Our initial analysis of Dyson’s carousel image reveals that it doesn't resonate well with online appliance shoppers, earning a low Vizit Score of 17.2. Attention visualization maps show that while the vacuum cleaner grabs the audience’s attention, its current position in the image actually detracts from the overall visual appeal. Interestingly, the space around the vacuum cleaner drives more appeal. By simply repositioning the vacuum cleaner, Dyson could significantly boost its score and overall effectiveness.
Armed with these insights, we began editing Dyson’s carousel image.
Our benchmark analysis revealed that the current position of the vacuum cleaner was the main factor detracting from its appeal to online appliance shoppers. Therefore, our first change was to adjust the direction of the vacuum cleaner. We also moved the text slightly down to better fit the image’s new composition. These changes increased the Vizit score from 17.2 to 54.8.
Examining high-scoring posts in the benchmark, we observed that images of wooden floors consistently displayed seamless surfaces without any gaps. Consequently, we decided to eliminate the gaps in our wooden flooring, which resulted in an improved score of 68.9.
Reviewing Vizit’s Visual Appeal Drivers and Detractors image maps, we concluded that the vacuum cleaner’s current position was diminishing its appeal to online appliance shoppers. Additionally, parts of the model’s torso and the wall details were detracting from the overall appeal. With these insights, we altered the image's composition by centering the vacuum cleaner and slightly cropping the model. We also smoothed out the background wall, removing the model's shadow that was previously visible. These changes improved the Vizit score from 68.9 to 85.2.
Our focus then shifted to the color of the model’s shirt, which Vizit’s image maps indicated was detracting from the appeal for our target audience. We decided to experiment with the color to see if it would improve the score. Staying within the image’s minimalist color palette, we chose a dark grey shirt, which raised the Vizit score to 86.8.
How did our SKU Rescue turn out? After rerunning the image analysis, we found our changes raised the Vizit Score from 17.2 to 86.8. That’s a 69.6 point improvement with only minor image modifications.
Vizit’s Visual Content Performance platform puts more power in the hands of creatives. Learn more about how we can help teams get effective designs out the door faster by requesting a demo today.
Vizit is the first—and only—way to predict, measure, optimize, and monitor your ecommerce content’s effectiveness so you can deliver the right content for consumer audiences at scale.
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