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Attention Insight|Analyze a Shopping Website for Rice!
Attention Insight is a groundbreaking tool that uses its own AI and neuroscience technology to conduct pre-launch creative analysis. One major advantage is that there is no need to introduce measurement tags, which saves time and resources from a technical perspective. For example, it may not be possible to introduce measurement tags in e-commerce marketplaces such as Rakuten Marketplace or Amazon. Even if existing heatmap tools cannot be used in this case, Attention Insight can predict how much attention human vision will pay to each section of a page within 3-5 seconds after it is displayed, which can greatly assist in improving the page.
As an example, after watching a news program about rice this morning, I felt like analyzing a rice shopping site using Attention Insight. The site I analyzed was “Oishii Omiseya-san,” a rice shopping site owned by Shinmei which was founded in the same month as SOPHOLA. This company is known for its popular series of rice, including “Akafuji-mai is the most delicious rice in Kansai♪,” as well as other rice products.
I chose to analyze one of the product detail pages on this site, the “Kome Karada All 5 Types Trial Assortment Set.” Here is the first page view of this site.
Next, to visualize where the blind spots are, I tried using the Focus Map.
If we follow the same analysis process as before,
How was the post-launch product detail page analysis using Attention Insight? If you are an EC owner or consulting company whose product detail page analysis is not possible due to tagging issues or workload problems, please try using Attention Insight!
Masaki “Mark” Iino
Founder & CEO
SOPHOLA, Inc