How Panda Enhanced Product Discovery to Boost AOV
Panda is a cutting-edge DTC brand that specializes in the design, development, and manufacture of sleeping goods.
Challenge
Panda needed an easy way so that customers wouldn't get overwhelmed with all their choices.
Solution
Panda has identified three key steps they should take to address their main
challenges.
Results
By using Dialogue, Panda was able to create a smart experience for all
customers.
%14Average Order Value Uplift
%262Session Duration Uplift
x26ROI (Return on Investment)
Introduction
Panda is a cutting-edge DTC brand that specializes in the design, development, and manufacture of sleeping goods such as mattresses, bed frames, home textiles, and much more.
Panda distinguishes itself by fusing the worlds of sleep and technology, resulting in an exceptional sleeping experience for every customer.
Panda provides a wide range of products, all of which are made with premium materials and cutting-edge technology to provide you with the best night’s sleep possible.
The Challenge
Mattresses are an important purchase for many people, and it can be hard to know what type of mattress will work best. Not only do you have to worry about the kind or brand name, but also if your body is suited towards firmness levels (and size).
Panda needed an easy way so that customers wouldn’t get overwhelmed with all their choices. Panda knew they needed a way to help customers easily navigate and make informed decisions about their options. They wanted to cut down the overwhelming experience that typically comes with buying a mattress.
In order to guide their customers through the purchasing journey, they needed a smart solution that they could implement quickly.
Panda gained popularity due to its distinctive mattresses. Their primary marketing strategy was word-of-mouth. They designed a unique package for each mattress, making the unboxing experience memorable. It rapidly went viral, with people recording videos of themselves opening Panda mattresses, and it was a terrific opportunity for Panda.
The problem was that consumers were purchasing mattresses without realizing that Panda offered more than simply beds.
The Goals
1
Show visitors the variety of Panda products through cross-selling and upselling
2
Recommend the right mattress to the right user
3
Create a fun and engaging shopping experience
Solution
Any company that wants to succeed in the world of e-commerce must have a solid strategy in place. While there are many different components to a successful ecommerce strategy, Panda has identified three key steps they should take to address their main challenges.
1. Enhance product discovery using Dialogue’s AI-powered recommendations
Buying a mattress online can be difficult, but luckily, after a long process of identifying the key touchpoints of customers and the moment a purchasing decision is made, we discovered that the most important interactions are when customers are just beginning to look for the right mattress for them. The moment a user enters the site can be correct or incorrect; either they find what they are looking for quickly, or they become overwhelmed and leave quickly. This is why we decided to let our AI begin analyzing Panda users.
First, We have located a recommendation carousel right on Panda’s home page.
Dialogue’s recommendations are based on a smart engine that recognizes, analyzes, and understands the users’ behavior. This helps Panda smartly recommend the right mattress to the right user.
Dialogue’s recommendations are designed to help users save time and discover new products they might not have found otherwise.
AI-powered recommendations on Panda’s home page
The more a user uses Dialogue, the more accurate its recommendations will become. That is why we’ve decided to locate another carousel on the collection page, a page that gets a lot of traffic from people who are not sure which mattress fits them the most.
AI-powered recommendations on Panda’s category page
2. Improve AOV using cross-sell at the checkout and cart pages
To improve average order value, Panda implemented cross-sells at the checkout and cart pages. Using Dialogue’s machine learning technology, Panda were able to display relevant carousels and offer discounts on related items.
Cross-selling is a powerful tool that can help increase AOV, but might not be as effective if the products showing in the carousels don’t match any of the users’ preferences.
Using Dialogue’s Rules feature, Panda were able to tailor their carousels for each individual customer and exclude certain products they weren’t interested in promoting.
Cross-sell on Panda’s floating cart
Cross-sell on Panda’s cart page
Cross-sell on Panda’s checkout page
3. Optimize site engagement with Dialogue's smart banners
Choosing the ideal mattress is crucial. But it can be difficult to know where to begin with so many options available. Thankfully, Panda has a fantastic tool to help you choose the right mattress. Together with Dialogue’s team of experts, Panda realized that the query’s location on the website needs to be the collection page—where customers can see all their options and need a little more direction.
Panda was able to implement its query on the category page in less than two minutes and easily assess its success thanks to Dialogue’s smart banner.
Smart Banner on Panda’s collection page
Results
By using Dialogue, Panda was able to create a smart experience for all customers. The implementation of this strategy led to an increase in:
%14Average Order Value Uplift
%262Session Duration Uplift
x26ROI (Return on Investment)
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