Nemlig.com – the best digital experience in Denmark

  • nemlig.com personalized grocery-shopping

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The market-leading online supermarket, nemlig.com, has won numerous awards in 2018, among them are 2 awards at FDIH’s E-Commerce Awards 2018. “Best B2C E-Commerce business with a revenue above 50 million DKK” and the prestigious “The Gold-Award.” This award signifies that leading experts in the field have found nemlig.com to be the best E-Commerce experience in Denmark.

How did nemlig.com achieve such a level of success?

The Jury who awarded the award praises nemlig.com for: 

“Delivering a digital experience with personalized assortments, grocery lists, and recipes that inspire consumers to shop at a grocery store that never closes.” 

Raptor has delivered customized personalization to nemlig.com since 2016. Based on user behavior and clickstream data we enable them to recommend relevant products and content to users on their popular platform. 

”The collaboration between client, digital bureau, and technology can amount to hugely successful results, and nemlig.com is a great example of this on all parameters. Both in terms of increased basket size, user experience, and customer loyalty,” says Kenneth Boll, CEO at Raptor Services. 

He continues to elaborate: 

“I want to thank and applaud nemlig.com for showing immense trust to external partners and we are incredibly proud to repay that trust with results that have contributed to their recognition with a series of awards this year.”

Personalized grocery-shopping is making life easier for the Danes.

The personalized digital experience on nemlig.com has improved the user experience drastically and helped them to increase their revenue by 25% in the latest fiscal year. After just a few years in the market, their accumulated revenue is above 1.3 billion DKK, and the use of recipes has increased by 159% since Raptor Web Advisor was implemented on their site. 

At the core of the solution are the advanced machine learning algorithms that make up the base of the personalization engine. All data is stored on secure cloud-based servers hosted by Microsoft. This enables our algorithm to learn from large quantities of data – based on those learnings it automatically adapts the output to each individual user. 

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The extensive solution on nemlig.com 

Raptor Smart Advisor is expertly implemented by IMPACT A/S and is now a deeply integrated solution on nemlig.com. At present, 80% of pageviews include intelligent recommendations based on clickstream data. Raptor is represented throughout the entire customer journey, from the search function, to product ranking on category pages, to basket, and content recommendations in the form of recipes. The result is a truly personalized experience for online grocery shoppers, which in turn enhances opportunities for up-selling, cross-selling, and increased basket size. 

 

Read more: Internal Site Search: Improve UX and increase your relevance

The challenge is often to ensure that customers always see the most relevant recommendations. If a customer who usually shops for discount products is browsing recipes, we recommend discount products that go into that recipe, and the same goes for customers who typically pick the organic choice. 

“Our mission is to create the most personal shopping experience. We chose Raptor because it can offer individualized, highly relevant experiences, which are automated and accurate. These highly relevant experiences create customer loyalty and higher customer lifetime value,” says Jeppe Grue, Head of Sales at nemlig.com. 

He continues: 

“At nemlig.com we are going to expand the partnership further in the future, as we believe personalization is key to customer loyalty and growth, and Raptor is going to help us deliver on that.” 

A great example from the online grocery store is how the Raptor Smart Advisor recognizes patterns in user behavior. When consumers buy hypoallergenic laundry detergent, the algorithm automatically identifies various preferences through the purchase.

In the example above, our algorithm recommends products that other consumers have bought with that exact laundry detergent. In this case, the related products are other laundry products and cleaning supplies, all hypoallergenic.

Based on patterns in user behavior, we can see that consumers, who buy hypoallergenic detergent, also have preferences for other cleaning products to be allergy friendly.

Logically as it may sound, this automated process saves nemlig.com several hours of manual tagging.

A second example is how the algorithm detects patterns that can seem surprising to most people. For example, you might not realize the connection between “Boil-In-Bag” rice, pre-cooked meals and oatmeal, but the data shows a clear relation in purchase history.

When considered, all those products show an affinity for quick and easy meal preparation. However, if you click on Risotto rice, you will see ingredients that reflect a preference for meticulous cooking.

The recommendations will always reflect the behavior of the consumers, which provides the most relevant recommendations while simultaneously freeing up time at nemlig.com.

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2018-10-17T07:41:34+00:00 October 15th, 2018|Cases|