E-Commerce Site Search History has data that might boost your commerce strategy. Check out this post to find out more.
New Features For E-Commerce Site Search History
Compared to other metrics, looking for places is generally skipped over as one of the items “soon” that you will change.
However, taking action to boost the quest will increase the rates of conversion. It also translates to cheerful customers.
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These shoppers are returning and ordering, and then sharing their experience with others. But how can you enhance your search on your web to do more than merely return results?
Focusing on the Search Bar
FootSmart makes the search bar more visible than the rest of the web’s color scheme by making it a distinct color. The search bar itself is the beginning of the trip and a part of the conversion puzzle. Thus, it does sometimes overlook.
That is one way to attract focus to it by offsetting it with a contrasting color to the color scheme on the web. Like the “Enter Keyword,” putting text inside this package allows visitors to see what needs at a glance (and separates it from an opt-in newsletter).
Top off with the ‘Quest’ or ‘Select’ button. Also, include some stylized movement arrows, and you’re ready to start well.
The FootSmart search results page comprises each product for more straightforward navigation or shopping in its cell.
Notice how the FootSmart search results page splits each product into a different cell with its name, price, and ratings.
For more refinement, sorting options appear on the left. This approach is perfect to showcase goods for e-commerce.
However, it could further boost by allowing the user to display the product closure (or various product angles) without pressing.
FootSmart was able to classify and behave appropriately using analytics. They saw an 82 percent improvement in conversion rates by improving their site search and making the relevant modifications.
Filtering the Results Page
If a user clicks or exits, the search results page is central. Depending on the target audience, you should personalize it a lot with a robust site search engine.
Caché reveals in his web scan, for example, as female clothes and accessories store.
You can type in a wide variety of words, such as “grey,” and you can filter them by clothing pieces. It does it by height, popularity/price, etc. Shoppers can also refine products based on whether they are on sale or newcomers.
The search by Caché shows that users are allowed to sort by selling items or new products, among other filters.
People want filterable choices from their product searches. Therefore, they are no longer sufficient to sort by size/color/style. Look at options to update to include (or exclude) sales/clearance products, new products, and other common categories optionally.
Handling Long Tail Semantic Searches?
Long-term searches in the semantics drive a search engine forward by making the user’s search intent understandable. For example, someone searching for “women ‘s long sleeve black tee size M” is much more likely to convert than someone just browsing “women’s tees.”
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