- RETAIL SEGMENT: Beauty
- PRODUCT: Experience Personalization Suite: Find™, Recommend™, and Engage™
- CHALLENGE: Época Cosméticos had aggressive growth plans but was unable to deliver results with the legacy technologies, and saw the possibility of generating real performance gains with the RichRelevance Personalization platform.
- RESULTS: Época Cosméticos leveraged the entire RichRelevance Experience Personalization platform powered by Xen AI™, including Find™, the unique, integrated personalized search solution, to create individualized experiences throughout the site.
+17% conversion rate on the Homepage
3x more Engagement,
4% inc. in conversion
-47% Bounce Rate
55% Increase in Average Cart Value
+1Mil New SEO Terms Indexed by Google
- RETAIL SEGMENT: Media
- PRODUCT: Recommend™
- CHALLENGE: Personalisation based on behaviour and preferences and limited internal resources to optimise
- RESULTS: 25% increase in AOV
musicMagpie is the best place to sell unwanted consumer technology, such as smartphones, tablets, game consoles and wearables, as well as the best place to purchase high quality refurbished technology. The company is the world’s biggest seller on eBay and Amazon, and the first globally to achieve 5 million in positive feedbacks on eBay. Its key focus is on consumer technology, but also buys and sells a whole host of media products such as CDs, DVDs, Blu-Rays, games and books.
- RETAIL SEGMENT: Food
- PRODUCT: Recommend™ and Engage™
- CHALLENGE: Engagement with content and personalized food inspiration
- RESULTS: Increase in CTR and content engagement
Köket.se, a food site in Sweden, offers recipes, content and food inspiration for their visitors. Köket.se was recently voted the best food site in the region by IDG.se here.
Köket.se was chosen as the best food site because of the unique and innovative experience they deliver for discovering great recipes, content, and food inspiration. Köket.se is focused on properly investing in the user experience to ensure they create a differentiated and superior experience for their visitors. IDG cited the AI platform Köket.se uses which adds further personalization to the online journey by recommending services and relevant content based on each visitor’s behavior. The AI platform is the RichRelevance Personalization platform.
Early in 2018, Köket.se approached RichRelevance as they were looking for a personalization provider who could help improve content engagement for their web visitors. After a comprehensive benchmark of providers, Köket.se found that RichRelevance offered a dynamic platform with many features to support both their short and long-term objectives. Fredrik Larsson, strategic business developer at TV4 explains why they ultimately chose RichRelevance:
“We got a very good impression of the RichRelevance team and their understanding of our challenges driving content engagement. We were also really impressed by how they personalize experiences for their other clients.”
Köket.se uses the RichRelevance personalization platform to tailor the experience for their visitors by recommending recipes and content based on the user’s behavior. For example, each item or recipe page shows recipes and articles on the right-hand side of the page, and as a visitor scrolls down the page they are presented with additional personalized recommended articles based on what they have viewed and clicked.
As a result of using RichRelevance, TV4 has seen an increase in CTR and engagement with content on their site.
For Köket.se next phase of personalization they are exploring how they can take personalization to the next level and incorporate personalization into two key areas of the visitor journey, the shopping list and their newsletters. Using the Xen AI, RichRelevance’s deep learning AI that learns from an individual visitors’ preferences and behaviors Köket.se will be able to leverage everything a visitor does on a site to deliver a superior and extremely relevant experience.
[normal-button color=”highlight” url=”https://richrelevance.com//wp-content/uploads/2019/05/richrelevance_Koket_casestudy.pdf” label=”DOWNLOAD” blank=”1″]
- RETAIL SEGMENT: Department Store
- PRODUCT: Recommend and Advanced Merchandising
- CHALLENGE: Greater understanding of customers and their shopping missions. Insights and fast learning on best performing personalisation strategies
- RESULTS: Detailed insight into customer behaviour through programme of testing and optimisation
“RichRelevance gives us the ability to easily and confidently test new ideas and strategies which is invaluable to our learning as we seek to continually improve our knowledge of what our customers engage with and what improves their experience”
– Stelios Nikolidakis
Partner and Personalisation Manager, John Lewis & Partners
John Lewis & Partners is a department store with 51 locations, known for its fashion, beauty, homeware and technology. At the heart of the success of John Lewis & Partners is their ambition to better understand their customers’ needs. John Lewis & Partners leverages data to identify shopping missions and trends to continuously drive a better customer experience.
John Lewis & Partners has been a RichRelevance customer since 2011 utilising personalisation across their desktop and mobile sites to deliver the most relevant shopping experiences possible using RichRelevance’s Xen AI and machine learning.
To ensure constant innovation and improved customer experiences, John Lewis & Partners has always sought to continually test and optimise their personalisation applications and placements. With the RichRelevance personalisation platform they are able to quickly test and uncover insights about what works and what doesn’t.
As an innovator in personalisation, John Lewis & Partners was eager to be one of the first RichRelevance customers to test and deploy image based recommendations. Via the RichRelevance Data Science Workbench, in conjunction with Clarifai, John Lewis & Partners leveraged image based AI to enhance recommendations across key categories including dresses, men’s shirts and home. The image based recommendations display suggestions based on matches in colour, patterns, etc.
The John Lewis & Partners team works closely with RichRelevance expert personalisation consultants to continually test initiatives and try new strategies aimed at improving their customer experience. John Lewis & Partners is keen to find out which personalisation strategies and placements perform best. Some of their unique tests and results have included:
- Increase Cross-Selling: Interested in increasing accessories sales, John Lewis & Partners leveraged Advanced Merchandising to recommend a related item on the product item page immediately after a shopper adds an item to cart. This placement really resonated with John Lewis & Partners customers, it received high engagement with +4.2 % click thru rate , plus a 23 x higher propensity to purchase compared to the site average.
- Clearance Boost: During a Clearance event John Lewis & Partners boosted Clearance items in recommendations on Offers pages to customers who previously showed affinities for offers. This resulted in increased engagement with Clearance lines, providing great insight and learning for future events.
- New Items: In order to personalise the experience on the ‘New In’ womenswear category, John Lewis & Partners added a placement at the top of the category listing page that only displayed personalised recommendations. This placement saw higher engagement than with the top row of the category listing, increased overall basket adds and basket adds per session.
“Due to the breadth of our assortment coupled with the range of shopping missions our customers are on, we use a test and learn approach to better understand our customers and learn how we can provide them with a best in class experience with John Lewis & Partners. Having the RichRelevance personalisation platform helps automate and enhance our learning through AI and data science, enabling us to learn faster and make quicker decisions.” Commented Gabriella Frankl, Partner + CRM Team Manager at John Lewis & Partners.
More recently as part of their digital strategy for their in-store initiatives, John Lewis & Partners enhanced their Partner App with personalisation. The Partner App, which was originally launched in 2017 enables partners to better serve customers in-store through instant stock checking, ordering items, browsing the entire John Lewis assortment, doing product comparisons and sharing products by email, now also utilises the RichRelevance AI- driven personalised recommendations. Rolled out across 2000+ devices throughout their 51 shops, RichRelevance insights give partners a direct route to cross-sales during their conversations with customers, helping partners improve the customer experience by steering them towards the right products faster.
Overall John Lewis & Partners has proved to be a highly inventive retailer, at the forefront of innovation, always excited about the opportunity to test new technologies and ideas. By placing customers at the heart of everything John Lewis & Partners does, they are rewarded with great customer loyalty, trust and of course tremendous success.
[normal-button color=”highlight” url=”https://richrelevance.com//wp-content/uploads/2019/06/john-Lewis-Case-Study_finalv2.pdf” label=”DOWNLOAD” blank=”1″]