Challenge

As home decor is a niche market, Sense of Art first made a smart move with their delicate wall art designs to impress their customers. However, it was difficult for visitors to choose one perfect fit for their needs even though they’d browsed all collections on Sense of Art's website.

Another aspect that needs considering is that wall arts can be used for years. Once people buy one, they won't be likely to change it frequently. The maths of motivating viewers to buy more products in one go was tough for Sense of Art, which lowers Sense of Art's monthly potential revenue and gradually discourages customers’ engagement.

Solution

The most intriguing designs with quotes, or the most viewed products are always Sense of Art's priorities to impress new visitors. Also, by giving customers a more selective range of splendid choices for their consideration, they believed that customers' experience and the average order value (AOV) would be improved.

Sense of Art had been looking for an optimal solution to resolve their problems and they came to Beeketing’s Personalized Recommendations app. It was no surprise that they have stuck with the app since then. So what has Sense of Art done to leverage the Beeketing’s Personalized Recommendations and earn that astonishing sales?

Personalized Recommendations app suggests highly relevant products to customers at multiple touch points of the shopping process and in turn, creates a natural boost in conversions and also increases AOV by providing 4 useful features:
- Store best sellers
- Who bought this also bought
- Cart recommendations
- Recently viewed & featured recommendations

First, Recently viewed & featured recommendations helps customers have a quick look of the products that other customers have browsed. Actively learning from customers' activities on the store's page thanks to its smart algorithms, Personalized Recommendations app can immediately show visitors a precise browsing history on recently viewed & featured recommendations, which benefits them to come back and pick up the products that they might already be interested in anytime.

Especially, when viewers click on a product, a quick pop-up will appear and trigger customers to rapidly view and add the product to cart without their having to access the product page.


Who bought this also bought also performs effectively as a cross-selling tool. Born with big data and machine learning technology, this recommends customers the accompanied products that can go perfectly with the item they are choosing, based on other buyers' purchase histories.

Besides, automatically learning story histories and sales data, Personalized Recommendations app itself also generates products displayed on Cart recommendations Store best sellers widgets. With Cart Recommendations, the app collects data at the last purchasing step of customers whose carts have at least one similar product, then cross-sells the whole carts to each of these customers.

Results

Sense of Art decided to stay with Beeketing's Personalized Recommendations app for the long run. In 15 months, with only Personalized Recommendations app, Sense of Art got approximately $438,000 in revenue with 3,484 orders successfully made, thanks to the specific tips mentioned above.