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Atea Case Study

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B2B ONLINE

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  • SEGMENT: B2B IT Infrastructure and System Integration
  • PRODUCT: Recommend and Discover
  • CHALLENGE: Complex Account Permission and Product Compatibility
  • RESULTS: Up to 20% increase in Basket Size

Atea, the market leader in IT infrastructure in Europe’s Nordic and Baltic regions, offers a full range of hardware and software solutions to business and public-sector organizations. Atea specializes in helping their customers maximize productivity from their IT investments. Atea is headquartered in Oslo, Norway with 87 offices in seven countries, Norway, Sweden, Denmark, Finland, Lithuania, Latvia and Estonia.

Atea set out to improve their customer experience on their eshop https://www.atea.dk/eshop/ through a strategic personalization initiative. They needed both a partner and platform that understood how their complex business differed from traditional B2C retail and solve for the complexities and nuances of the B2B challenges they faced. Atea required a trustworthy partner that could scale for the enterprise, manage complex product compatibility challenges and accommodate for diverse and restricted catalogs across customer accounts.

Allan Bo Christiansen, Digital Business Developer at Atea explained:

“Atea has very complex and interesting needs when it comes to personalization which is why it was so important to have a provider we could trust and that could handle the complexities of our business. RichRelevance was the only provider that clearly demonstrated their success in handling complex B2B use cases and had the ability to scale and comply with privacy requirements.”[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_raw_html]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[/vc_raw_html][/vc_column][/vc_row]

John Lewis

John Lewis & Partners

  • 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.

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Insight

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B2B ONLINE

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  • SEGMENT: B2B Technology Solutions
  • PRODUCT: Personalization Suite
  • CHALLENGE: Extensive product catalog, lack of insight about customers, inability to react in real time with the relevant content
  • RESULTS: +69% YoY Revenue generated from homepage personalization. +275% Increase in Marketing Qualifed Leads (MQLs) from personalized partner campaigns based on behavior. 78% YoY Increase in sales generated from product recommendations on product detail pages.

“Working with RichRelevance has transformed the buyer experience into a meaningful connection with our clients, making it easier than ever to scale across our large catalog and partner offerings. Not to mention the great results we’ve seen. We have an exciting roadmap of things to take our personalization initiatives to the next level in 2019.”

– Sarah Robson
Sr. Online Merchandising Specialist, Insight

Insight Enterprises is an Arizona-based, publicly traded global system integrator helping organizations of all sizes manage today’s information technology needs while transforming for tomorrow. Insight is a Fortune 500 company with offices in 20 countries serving clients operating in 200 countries and territories. The IT leader provides end-to-end Insight Intelligent Technology Solutions™ designed to help businesses optimize their IT supply chain, maximize the value of digital innovation, enable cloud and data center transformation, and empower workforces to work smarter.[/vc_column_text][/vc_column][vc_column width=”1/3″][vc_raw_html]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[/vc_raw_html][/vc_column][/vc_row]

miinto case study

Miinto

  • RETAIL SEGMENT: Apparel
  • PRODUCT: Personalization Suite
  • CHALLENGE: Disjointed customer experience, lack of data insight, manual personalization
  • RESULTS: x2.5 increase in conversion rate. 22% increase in spend from those interacting with personalization

“We were looking to create a truly personalized customer experience. We believed personalization would give more
power to Marketing through greater insights about each individual user. With this greater knowledge and the power of the personalization platform we were then able to optimize each user experience by orchestrating content and product lists in a user centric way.”

– Danni Veng
Group Ecommerce Manager, Miinto

Miinto is a collective of fashion stores created to bring the same intimate experience of boutique shopping to the digital landscape. Miinto partners with more than 1,800 independent fashion boutiques across Norway, Sweden, the Netherlands, Belgium, Switzerland, and Denmark showcasing approximately 500,000 products and several thousand brands across their ecommerce website.

It is the Miinto mission to create an inspirational experience, offering a wide selection of styles and items to their fashion-forward customers. This forms a synthesis between the brand, shop and customer.

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GANT

GANT

  • RETAIL SEGMENT: Fashion
  • PRODUCT: Personalized Recommendations
  • CHALLENGE: Manual, non-personalized product recommendations. Confusing navigation. Invisible long tail products
  • RESULTS:15% Growth of Online Sales. Improved navigation and discreet recommendations resulted in an enhanced customer experience. Long tail articles remain visible and don’t turn into shelf ware

Discreet Personalization for Improved Navigation
The fashion brand GANT was founded in 1949 on the American East Coast by the Ukrainian emigrant Bernard Gantmacher. Originally specializing in shirts, the company was particularly popular with students at Ivy League universities and laid the foundation for American sportswear with its casualness and sportiness. After the takeover by Swedish companies in the 1960s, GANT expanded globally. In Germany, the company now employs more than 450 people, operates over 30 of its own stores, 6 outlets, and supplies exclusive wholesale customers at over 700 points of sale.

In 2013, GANT launched its German eCommerce site, which was very well received by customers and exceeded all expectations with high double-digit growth rates. Despite this success, GANT continuously analyzed the shop and identified potential for improvement.

Product Detail Pages Were a Dead End
GANT discovered a couple of key issues. Product detail pages were only accessible via the main menu navigation, impacting a customer’s ability to locate products, often leading to bouncing and unsuccessful shopping sessions. In addition, manual product recommendations only offered seasonal looks and did not take a customers’ preferences or behaviors into account.

“With the old system, maintaining the recommendations was very time-consuming,” said Werner Hammer, Head of eCommerce at GANT. “In addition, we saw a significant advantage in providing customers with recommendations that were of interest to them. With a recommendation engine we would be able to easily show what our customers really want.”

“Invisible products“
GANT listed each of their products in every color variant, impacting the amount of different products that could be shown on the main product category page. This meant customers could miss products they may be interested in as they were pushed deeper into sub-listing pages.

“In order to improve the navigation on our website and prevent articles from getting lost in the flood of offers, we looked around for a recommendation engine,” says Werner Hammer. “We wanted the solution to be discreet and unobtrusive in showing customers recommendations that really interest them, and in no way give them the feeling of being overwhelmed”.

Performance and Integration Capabilities for Step-by-Step Optimization
Overall, the solution had to fit the company’s conservative eCommerce approach, requiring the software to gradually incorporate and optimize personalization allowing the brand to maintain some level of control and override, allowing for a unique “man + machine” capability. After an exploratory phase in which various solutions were evaluated, the German GANT team chose RichRelevance Recommend as their personalization solution for its high performance and comprehensive integration capabilities.

RichRelevance Recommend™  uses powerful machine learning and a comprehensive set of algorithms to show customers product recommendations tailored to their individual needs. Mirroring an experienced salesperson in a retail store, a “super-algorithm” evaluates the anonymous navigation data to select which of the more than 150 pre-developed recommendation algorithms is able to show customers exactly those recommendations that best matches their needs.

After a short implementation phase, during which GANT was supported by experienced RichRelevance consultants, the German eCommerce site launched in 2016 with Recommend.

Significant Sales Growth and Improved Navigation
Since the go-live of Recommend in 2016, GANT has seen a lot of improvement in the web shop and an additional growth in online sales of 15% for purchases attributed to the RichRelevance product recommendations.

“We have put our trust in the RichRelevance personalization platform from the outset and have seen a clear improvement in online sales. Customers are guided discreetly – depending on their preferences – to the products they are actually interested in – all automatically and without time-consuming manual maintenance”.

RichRelevance’s product recommendations have significantly improved navigation and thus the customer experience. By using the personalized product recommendations, GANT was also able to solve the problem of long tail items getting buried amongst other more well known, trending products.

To further enhance the customer experience, the company plans to deploy RichRelevance personalization within its email newsletter and for merchandising in the future.

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Wine.com.br

  • RETAIL SEGMENT:Food and Beverages
  • PRODUCT: Personalized Recommendations
  • CHALLENGE: Wine.com.br was looking for a way to engage and re-engage their audience, to encourage conversion and repurchases. To do this, Wine.com.br developed a custom email marketing campaign, containing personalized recommendations that enhance the customer experience and content relevancy.
  • RESULTS:Using the Relevance Cloud™, to offer highly personalized recommendations the email campaign generated more than 30% of the day’s revenue and achieved a 16.38% conversion rate. An A/B test demonstrated that the personalization platform from RichRelevance had the capacity to convert 246% more than the tool which was previously used.

Wine.com.br is the largest wine e-commerce in Latin America and the third largest in the world. Today, it offers over 1,500 fine wine labels, as well as accessories for wine tasting and gourmet products. The company owns the Wine Club, with over 140 thousand associated. In 2015, Wine expanded its presence to the beer market, through WBeer.com.br, now www.beer.com.br.

Wine.com.br was elected the sixth most innovative company in Brazil by DOM Strategy Partners, and got the first place in the online retail category. It has also earned the title of second best e-commerce in Brazil in usability and communication with the client, in the study Best in Self-Service, conducted by E-Consulting.

Challenge

Wine.com.br wanted to create completely personal communications to engage their customers within email to drive clicks, promotional engagement and increase conversion.

Solution

Recommend is part of the RichRelevance Experience Suite that enables rapid implementation and delivers on true 1-1 personalized experiences throughout the entire customer journey. With personalization deployed, customers engagement and loyalty increases, ultimately driving sales and conversion.

How it Happened

Wine.com.br analyzed their email promotional campaigns and sought to increase conversion from email. To determine the best provider for personalized emails Wine.com.br conducted a comparative test between RichRelevance and the in-house Sommelier’s Recommendations. RichRelevance powered 50% of the email personalization within the test and the in-house Sommelier’s Recommendations the other 50%.

The campaign was focused in the Saudade Day (January 30th), a day to remember good times once had, feelings of nostalgia. The focus of the campaign was to deliver personalized recommendations that feel more human, creating a deeper connection with the brand, simulating a friend’s recommendation, who would be familiar with your taste.

By monitoring the engagement and clicks derived from the email campaign and the website visits, Wine.com.br was able to measure the performance of RichRelevance’s campaign’s vs the in-house Sommelier’s Recommendation.

Results

Leveraging RichRelevance’s XenAI platform combined with Wine.com.br’s email marketing tool, Wine.com.br was able to set themselves apart from competitors, offering highly personalized and relevant email communications.

As a result, the campaign achieved outstanding results, delivering increases of more than 77.6% in the conversion rate and 8x higher average revenue per email in some segments. The Personalization Cloud™ drove 30.79% of the day’s revenue, representing 34.71% of generated purchases (in a day), resulting in a conversion rate of 10.94%, 26% higher than the brand’s average.

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Riachuelo

  • RETAIL SEGMENT: Fashion & Apparel
  • PRODUCT: Experience Personalization Suite
  • CHALLENGE: For the launch of its first-ever eCommerce offering, the largest Brazilian fast-fashion retailer, Riachuelo, wanted to deliver a cutting-edge personalized search experience that would dynamically prioritize shoppers’ individual preferences, at scale.
  • RESULTS:15% the total visitors use On-site search and it drives conversion at a 3x higher rate than the site overall

Riachuelo is the largest fashion company in Brazil, with more than 300 stores and 40.000 employees, a sophisticated supply chain that supports manufacturing 90% of the apparel it sells. In the past decade, the 70-year-old company has remade itself in the image of Zara and H&M, bringing “fast fashion” to Brazil’s growing upwardly-mobile population. The company prides itself on delivering 200 new styles daily to even its most far-fung locations.

In addition to a line of everyday basics and fast-fashion pieces that anticipate momentary trends, Riachuelo also ofers higher-end collections that periodically feature collaborations with top-name designers such as Donatella Versace. The model has been so successful that Riachuelo sustained solid year-over-year sales growth even through the country’s recent economic turbulence.

Challenge

Riachuelo has long offered rich web content and active social media communities, and decided to add an eCommerce presence in 2016. Riachuelo’s stores are tailored to local markets, with different footprints and assortments as well as personalized services for in-store shoppers. As the company ramped up to support online selling, it needed to replicate that one-to-one experience in tandem with its up-to-the-minute style.

Riachuelo’s fast-changing product lineup presented a further challenge. With 48,000 items produced, distributed and sold annually, the company needed to find tools to connect shoppers efficiently with the latest products matching their needs in the moment.

Solution

With personalization as a top priority, Riachuelo opted to integrate the entire suite of RichRelevance products into its first eCommerce offering. The implementation included Riachuelo pioneering the latest RichRelevance solution, Find, which optimizes the on-site search experience to present individualized results sets.

How it Works

When designing its on-site eCommerce search experience, Riachuelo wanted a flexible solution that would dynamically combine internal logic, shoppers’ input, and implicit context signals to return the most relevant set of results possible for each individual shopper.

Find’s three-tier personalization stack enables Riachuelo to set multiple search parameters and combine those criteria with input from shoppers to create highly personalized product assortments. First, The Riachuelo team can incorporate segments from its their CRM system for association with products and categories. Dynamic segmentation within the Find tool also allows for enables creation of further business rules on the fly based on such criteria like as inventory availability, geographic location, referrer, and product category

Furthermore, Find gives Riachuelo’s team full control over the set of searchable attributes associated with each product. Riachuelo can define and weight the attributes so that each is accorded the right importance and the algorithm applies the right degree of personalization. This fine-tuning capability essentially controls when and where personalization occurs within searches, focusing the power of the Find engine on the attributes most important to shoppers.

Find also provides Riachuelo with the control to combine key business parameters (such as inventory levels) with shoppers’ keyword search term, as well as any previously-supplied profile data, such as size and color preferences. The search tool accounts for misspellings, plurals, synonyms, and the like, not only for the results set, but for type-ahead search box suggestions that guide shoppers to relevant categories, individual products, and value-added content. The product images that accompany the search results are tailored on the fly to match desired colors; for example, a search for “pink shirts” returns product images displaying pink color options.

Shoppers’ on-site behavior is also factored into Find, with viewed products and categories influencing the search results in real time. Find also draws on the “wisdom of crowds,” analyzing what the community of site shoppers typically does after searching for certain words and using this data to prioritize results.

Finally, Find factors in individual context cues to help Riachuelo deliver optimal results. Location, seasonality, time of day, and proximity to local outlets can all influence the results set to deliver a truly individualized search experience (including both which products are surfaced and the order they’re displayed) for every shopper.

Results

Since launching the eCommerce site in 2017 with full-featured personalization, Riachuelo has earned high engagement and established a solid track record of online sales.

Find has proved an efective engine for sales. The 15% of site shoppers using the on-site search tool are 3 times more likely to convert than the overall average. Furthermore, zero-results searches represent just 0.16% of all queries, reducing the bounce rate following search — suggesting that shoppers are connecting with relevant products and content worthy of further engagement. Riachuelo’s overall fndability score – a calculation that captures whether sites deliver the right results eficiently, with a minimum of manual sort-and-flter steps – is 7.3%.

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Leroy Merlin Italy

  • RETAIL SEGMENT: DIY and Home Improvement
  • PRODUCT: Personalized Recommendations and Advanced Merchandising
  • CHALLENGE: To showcase the full range of products and sell more complete solutions
  • RESULTS: 65% increase in items per order and 28% increase in spend from those interacting with recommendations

Leroy Merlin is a home improvement and gardening retailer with 400 retail stores across the world. A major player in the global DIY market, Leroy Merlin offers products and solutions for DIY, decoration, construction and gardening. Each country operates as independent business units.

In 2017, Leroy Merlin Italy wanted to create a more personalized experience for customers on their website www.leroymerlin.it by incorporating personalization and machine learning to accelerate product discovery and ensure it was easy for their customers to locate all the items needed for a project. Leroy Merlin Italy aimed to increase items per order and customer satisfaction by helping guide their customers with intelligent and comprehensive project- based recommendations.

With so many product SKUs across a wide range of categories, Leroy Merlin Italy sought a solution that would enable them to easily optimize and reduce manual merchandising, while also allowing them to maintain control of their brand when appropriate. After analysing and testing several solutions and tools, Leroy Merlin Italy selected the best performing provider, RichRelevance, to be their strategic personalization partner based on their sophisticated AI that offers the right mix of automation and control.

Lionel Devidal, Digital and Ecommerce Director at Leroy Merlin Italy, explained “Through the RichRelevance solutions we were able to automate the recommendations based on two desired outcomes; showcasing compatible items based on what the shopper was purchasing as well as surfacing similar products the shopper may not find otherwise.”

Leroy Merlin Italy displays 2 placements on the product page; one designed to cross sell related products and the other displays similar products the customer might also like. To ensure customers receive guidance across their entire shopping journey, Leroy Merlin Italy has instrumented recommendations at every interaction point, on the add to cart and wishlist pages as well as within remarketing and abandoned cart emails to shoppers.

“We are very happy with the RichRelevance solution, it’s been very easy to set up strategies and customize rules, which is good seeing as we have a lot of advanced merchandising rules to ensure the compatibility of all our products! We also have the flexibility to strategically boost specific products when we want to.” Commented Lionel.

Leroy Merlin Italy has utilized RichRelevance’s best in class Personalization Services to garner best practices, guidance and insights in addition to leveraging tests to optimize the placements and strategies on the website. They have been delighted with the results as Lionel explained:

“There is no doubt in my mind that the RichRelevance personalization consultant has had a very positive impact on the success of our personalization efforts. Their ability to fine tune the engine and continually optimize means our results continue to improve.”

After just 6 months of going live with RichRelevance solutions in December 2017, Leroy Merlin Italy can attribute 9.5% of revenue to personalization. Leroy Merlin customers who interact with recommendations spend 28% more with 65% more items per order. Furthermore, the cross sell placement on the add to cart page, which recommends items related to those in the cart has a staggering 8% click through rate. Out of those items viewed over 20% go on to be purchased.

“RichRelevance personalization has allowed us to propose more complete solutions to our customers based on their specific needs and interests. We have a high engagement with recommendations on the site, and it is clear from the results that customers are valuing the recommendations being made. We are excited by the prospect of adding more placements to other pages on our website as well as the homepage, and the results this will bring for Leroy Merlin Italy.” Concluded Lionel.

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