Product Update: Analytics for Search Filters and Sorting

Analytics for Search Filters and Sorting

When setting up filters and sorting options, ecommerce managers often end up with many different labels and categories on their webshops. On one hand, this can make the shop’s content more transparent, but at the same time, it can make user experience difficult. Search, in particular, is dominantly used by high-intent customers. They already know what they are looking for, and if not exactly, then at least they know the type of product they want to buy. And here is where filters can be highly valuable to guide the customer on this journey.

Introducing: Analytics for Search Filters and Sorting in the Hello Retail Dashboard

To help merchants define and select the filters most relevant to their customers, the Search solution by Hello Retail now also presents Analytics for Search Filters and Sorting usage.

If you use our Search solution, you can access this information in the Analytics tab. Here you will find two columns with top Search Filters and Search Sorting that your customers interact the most with. You can use this information to take action and adjust the options you present at the moment. Filters can also help collect valuable data about user preferences and behaviour. Ecommerce managers can use this data for market research, product development, and personalized marketing campaigns.

Here is why you should select the right filters for your webshop search engine

In a highly competitive ecommerce landscape, knowledge is a powerful tool for ecommerce managers, enabling them to cater to their customers’ needs more effectively, gather vital data for market research, and ultimately enhance their webshop’s profitability and standing.

Enhance User Experience
Filters help users quickly find the products they’re looking for, saving them time and effort. A well-designed search filter system improves the overall user experience, making customers more likely to return and purchase again.

Increase Conversion
When customers can easily refine their search results using filters, they’re more likely to find products that match their preferences. This leads to higher conversion rates, as customers are more likely to make a purchase when they find exactly what they want.

Reduce Bounce Rates
Poorly chosen or insufficient filters can lead to high bounce rates, as frustrated users leave the site when they can’t find what they’re looking for. The right filters keep visitors engaged and encourage them to explore the website further.

Higher Average Order Value
Well-tailored filters can suggest related or complementary products, increasing the chances of upselling or cross-selling. This can lead to higher average order values, resulting in increased revenue for the ecommerce business.

Improved SEO and Search Engine Ranking
Search engines reward websites with high user engagement. When users easily find products through search filters, they are more likely to stay on the site, which can improve your site’s search engine rankings.

Competitive Advantage
Ecommerce is highly competitive, and offering a seamless and efficient search experience can set your webshop apart from competitors. Customers are more likely to choose a webshop with a user-friendly search filter system over one that lacks this feature.

About Hello Retail’s Personalized Search

Our AI-driven search engine provides personalized search outcomes to e-commerce businesses worldwide. It identifies customers’ preferences for brands, categories, sizes, colors, and other product attributes. Utilizing Product Intelligence, the engine establishes connections between user profiles, interests, and merchandise, resulting in customized search results that align with the shopper’s individual preferences.

Besides Filter and Sorting Analytics, businesses can track top search terms, search terms without results, click-through rate, conversion rate and average order value. Overall the Analytics page provides managers with knowledge to optimise and enhance their Search strategies.

Thank you!