Mobile has become the number one online shopping channel — but it remains a challenging playground for e-retailers. With limited navigation space, less convenient typing, and shorter attention spans, driving conversions on mobile means activating the right levers.
In this second and last episode, we take a closer look at four key features that help remove purchase barriers, enhance the user experience… and boost your conversions.
The first function helps the customer articulate their desire to buy with the help of individualized keyword suggestions. Its impact is amplified on the mobile phone: the consumer articulates faster what they are looking for. Instead of painstakingly searching for a complete expression that corresponds to their desire to buy, the consumer finds it at the touch of a button.
We also note that the use of this feature increases by 28% on the mobile phone, compared to desktop. The explanation is simple: on the desktop, the user performs two actions:
On a mobile device, the gesture of selecting a suggestion is the same as typing a character.
Sensefuel adds another dimension to this functionality: the algorithm detects the consumer’s buying intention and suggests the most appropriate keywords during the search. This extends beyond the simple auto-completion of characters and increases the relevance of the suggestions.
When it comes to shopping for home furnishings, it is often difficult to express your needs, to type in the right words that correspond to what you’re looking for. For example, if you are looking for a pastry mold, you may find it difficult to describe it: pie tin, round, silicone, 24cm... On mobile phones, this feature is particularly useful as it helps consumers to put into words what they want. And it boosts conversions!
This functionality puts individualized product recommendations at eye level, which accelerates the buying journey with one click. These help users to efficiently refine the results of a generic search, saving time and helping them to find the most relevant products faster.
Mobile screen space is very limited meaning it is important to display the suggested categories in the right place and in the right way. Sensefuel boosts the usage rate by optimizing the choice of product categories to be displayed and illustrating each of them with the most relevant photo.
Individualizing these suggestions means that useful categories are chosen to help each consumer make a choice. The category suggestions are based on understanding each customer’s buying intent, as it would be highly ineffective for conversion to take up screen space suggesting categories that are irrelevant to the buying intent.
Categories recommandations on mobile phone:
A main characteristic of the DIY sector is its wide product range, and therefore the need to quickly reduce the breadth of products the consumer is looking at. Offering product categories to narrow down the search results will increase efficiency and therefore conversion.
By providing a large space for suggestions, you can increase the usage in this sector by more than 20 points compared to the average while retaining the conversion rate. And you will increase the impact on turnover.
This functionality refines the search through filters adapted to the context of each client, which are dynamically inserted into the results.
Filters, which were designed and developed for the desktop, can be completely unsuitable for mobile. Using a list of checkboxes on our smartphone screen is difficult and dedicating 50% of the screen surface to present filters next to the search results is impractical.
However, getting consumers to refine their search results with the features that correspond to their respective buying desires is still essential for successful online sales, especially on mobile. This is why we have created filter inserts. These are available within the search results and across the entire screen. This feature will prompt the consumer to refine their search results, like a shop assistant.
Such a mobile-friendly display requires a high degree of relevance of the proposed filters. Our AI displays the filters most appropriate to the context and to each person’s buying desire. The results are clear: conversion is up by 27% when used.
dynamic guidance & filtering on mobile:
In the technical goods sector, the consumer is often a connoisseur of the product they wish to buy. They know what they want and will try to define the features of the products on offer. As a result, this feature is much more widely used in this sector.
This feature allows the customers to express themselves and find the products they want by speaking.
The use of voice is becoming increasingly popular; it is no longer unusual to send yourself voice notes via mobile phone or to ask your virtual assistant to turn off the lights in the house... The same is becoming commonplace for shopping online too.
For the consumer, this means expressing their desire to buy in the most natural way possible: by talking. And in return, categories, products, and filters most relevant to what has been said are displayed. This is the most sophisticated way of applying the advice approach usually found in a shop to an e-commerce site.
This functionality is very well adapted to mobile: a consumer is much more likely to talk to their smartphone than to their computer. In fact, 92% of voice command users say they do this with their smartphone**. No wonder voice search is used four times more often on the mobile than on the desktop.
The younger generations expect it more and more: 10% of 18–24 year olds say that, on their mobile, they mainly expect an e-commerce search engine to offer the possibility of voice search***, compared to only 2% of the over 55 year olds. A trend you can’t afford to miss!
* After 12 months of using our solution on client’s site
**Poll&Roll study for ADN.ai, surveying a panel of 1000 people.
*** Survey of product search habits on e-commerce websites 2025, Sensefuel.
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