Have you ever thought about the process of a store representative when you walk into a physical retail store? Let’s consider a typical scenario.

The shopping process at an offline store has three stages before a final purchase takes place.


DISCOVERY

The sales representative tries to figure out what the shopper is interested in and what his/her preferences are

RECOMMENDATIONS

The sales representative recommends a few products based on his/her understanding

EXPERIENCE

The shopper experiences products and provides feedback on what s/he likes or does not like.

 

If we compare this to a shopper’s journey in the digital world, we realize it is not that different on mobile websites. Marketers use tactics and strategies including search, filters and recommendations to help users find products they like faster. But data suggests that product discovery on the web is still not effective enough and it is one of the main reasons for higher bounce rates and lost conversions.

 

The Current User Experience for Product Discovery on Mobile Web Fails

In today’s mobile-first world, mobile devices drive significant traffic to eCommerce sites. Product discovery on mobile web and desktop web are driven by filters and categories, which help a visitor narrow down on the product(s) they are looking for.

Currently, product discovery is focused more on ‘search’ than on ‘intent’ which makes the experience rather mechanical. This is beneficial for the visitor who knows what they want to buy, but not so appealing for those who are still undecided. For undecided visitors, it is important to browse through relevant products before they make a purchase decision.

 

Ineffective Product Discovery = Higher Visitor Drop-Off Rates

Popular research has shown that on most sites, it takes an average of 5 clicks for a visitor to find what they are looking for. From this point on, the drop-off is high if visitors are not able to find what they are looking for.

The primary contributing factor for visitor drop-off on mobile websites is ineffective product discovery. The sooner a visitor is able to find what they are looking for, the sooner they can make a purchase. The struggle with most websites is that between the home page and condensed navigation menu, the information overload make them less user-friendly.

But, what if you could enable a more seamless catalog discovery? Giving the visitors a short, “interest selector guide” (multiple options to understand search), which can help them narrow down their search much faster?

 

Introducing Maven: Product Discovery for Mobile Web, Reinvented

 

 

Maven acts like your sales representative on the mobile web, helping you to discover real-time user ‘intent’ by asking smart questions, while giving a more personalized touch to product search with the help of AI-powered predictive algorithms. At the intersection of ‘intent’ and ‘inference’ Maven combines real-time preferences with past and predictive data to deliver a unique product discovery experience on the mobile web.

 

W H A T ‘ S   Y O U R  F A V E   C A T E G O R Y?

V I S I T O R  I N T E N T  D I S C O V E R Y

Don’t have past user behaviour data to start engaging new users? It’s not an issue. Maven works by getting to know the visitors over a cup of coffee. Well, not really. The journey starts with an interactive ‘Tell us what you’re looking for’ overlay.

By asking the right questions, Maven finds out what visitors are looking to discover on your mobile website. Maven facilitates product discovery for visitors by eliminating the mechanical task of conducting searches and using filters.

 

Y O U   M A Y   R E A L L Y   L I K E . . .

I N T E R E S T – B A S E D   R E C O M M E N D AT I O N S

Great. Questions asked and answers saved. Maven’s AI-backed engine gets to work on analyzing these responses and shows products that match a visitor’s requirements with greater precision compared to manual searches.

 

Maven makes use of all the data collected in the previous step and combines it with AI-backed recommendations that are based on the visit and purchase behavior of all users on your website to show visitors most relevant products tailored based on their category preferences, price range, segment and more.

New Visitor Preferences + AI-powered Predictive Recommendations = Personalized Product Discovery

T H I S   I S  J U S T   F O R  YOU . . .  

P E R S O N A L I Z E D   S H O P P I N G  E X P E R I E N C E

Maven provides users a complete shopping experience right within its interface. Users can view recommendations, explore products and add them to their carts with a few swipes and taps without leaving Maven’s interface. It effectively means that Maven provides you the ability to build a brand new shopping experience on top of your existing store and with zero additional IT effort.

 

Maven is the new face of product discovery on the mobile web. No more wasted clicks or search strings and frustrated customers who drop-off.

With Maven, start guiding your mobile web visitors to discover and buy what they are looking for with an immersive shopping experience backed by AI-fueled recommendations.

Check out our product page for more information or reach out to us at info@useinsider.com.