personalization

John Lewis Unveils New Personalisation Strategy with RichRelevance

RichRelevance’s personalised recommendations technology pays dividends after helping drive incremental revenue

Reading, UK — February 1, 2012 — RichRelevance®, leading provider of dynamic e-commerce personalisation for the world’s largest retailers, today announced a partnership with John Lewis to provide a personalised shopping experience for customers of johnlewis.com on the website and via its email strategy. John Lewis selected RichRelevance as the company’s personalisation partner following a successful test of the software in late November.

John Lewis reported a 27.9 per cent increase in online sales in the five weeks to 31st December, and had introduced RichRelevance’s personalised product recommendations in mid-November. The company has identified e-commerce personalisation as an important strategy for accelerating growth online. By using RichRelevance’s personalisation engine to dynamically analyse shopping behaviour alongside data on relationships between products and product categories, johnlewis.com is able to offer every customer a unique and personalised experience.

“We see personalisation as an extension of quality customer service, by giving every shopper an experience that’s uniquely tailored to their preferences,” said Sean O’Connor, Head of Online Delivery & Customer Experience at John Lewis. “We chose RichRelevance as our personalisation partner because their technology provides our customers with increasingly relevant product recommendations, so that they’re able to find related products they want to buy more easily. We’ve seen a substantial lift in sales and order volume.”

Following the success of the initial test period, John Lewis also integrated personalised recommendations into their email campaigns, driving a significant increase in cross-sell activity within the order confirmation email programmes.

“As more retailers in the UK add personalisation to their roadmaps, they are becoming aware that there is a difference between providing a truly personalised experience and simply serving up static product recommendations,” said Darren Hitchcock, VP of the UK and European Region, RichRelevance. “It has been an exciting experience partnering with John Lewis and demonstrating how powerful personalisation can be to both online customer engagement and the bottom line.”

About John Lewis
John Lewis, ‘Britain’s favourite retailer 2011’ (Verdict Research) and ‘Best Multichannel Retailer’ (Ecommerce awards) typically stocks more than 350,000 separate lines in its department stores. Johnlewis.com stocks around 200,000 products online and is consistently ranked one of the top online shopping destinations in the UK. John Lewis Insurance offers a range of comprehensive insurance products, delivering the usual values of expertise, trust and customer service expected from the John Lewis brand.

About RichRelevance
RichRelevance powers personalised shopping experiences for the world’s largest and most innovative retail brands, including Walmart, Sears, John Lewis and others. Founded and led by the e-commerce expert who helped pioneer personalisation at Amazon.com, RichRelevance helps retailers increase sales and effectively monetise site traffic by providing the most relevant products, content and offers to shoppers regardless of the channel in which they are shopping. RichRelevance is headquartered in San Francisco, with offices in New York, Seattle, Boston and London. For more information, please visit http://www.richrelevance.co.uk.

The Evolution of the Virtual Salesperson: Using Behavioral Context + Rules to Deliver Relevant Product Recommendations

(NOTE: Earlier this year, RichRelevance and CNET announced their strategic partnership to integrate CNET’s rule-based Intelligent Cross Sell recommendations with RichRelevance’s behaviorally-based RichRecs™ offering to offer the industry’s first truly robust personalization solution for the world’s largest online retail sites. Patrick Monasterio is a member of the CNET/{rr} development team and is working with joint customers on integrating this new solution.)

Patrick MonasterioWhen done right, relevant product recommendations can deliver up to a 30 percent lift in conversion and sustain or even increase these levels over the long term.  Therefore, the multi-million dollar question for merchants (literally) is “What recommendations do I want to show? How do I do this?”  The most successful recommendation emulates the logic of a good salesperson by delivering the right product to a specific person for a specific situation.

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Visualize This: the Opportunity of Retail Network Data

Oh, Facebook. Everyday, we log in to check out our news feed, update our status, see who posted to our wall or tagged us in incriminating photos from last weekend. Activities that were meaningless to most of us five years ago are now ingrained into our daily lives. And with a speculated run at a $100+ billion dollar IPO, the analytics (and investor) community has experienced a huge surge of interest in network data and how the insights it generates can be decoded into massive amounts of frictionless cash.

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CPG Brand Marketers Can Cut Net Costs by Spending Smarter

Jake BaileyA recent article in the WSJ stated that commodity price increases are taking a toll on CPG margins and profit. Prices have gone up so fast that brands are left with the decision of either passing the costs on to the consumer (“No, Mr. Bernanke, we don’t see inflationary pressure here either.” Read: Sarcasm) or finding ways to cut internal costs to keep prices stable. Brands are already running extremely lean from the past recession, and consumers are much more value-focused than they’ve been in a while. Most in the industry recognize that consumers have “permanently” changed their minds when it comes to value. (Witness the Groupon for $35 for $50 worth of products from the P&G estore.) Given that brands already face an incredible amount of pressure from white-label brands, what is a CPG brand manager to do?

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Data Drives Relevance: CNET Intelligent Cross-Sell is Now Powered by RichRelevance

David SelingerToday we announced a partnership with CNET, the authority on technology and consumer-electronics products. Although most of you have probably used CNET.com for product reviews or tech news, you may not know that CNET also aggregates data on more than five million products: specs, key selling features, compatibilities, and so on. Moreover, a small group in CNET built a unique recommendations technology, Intelligent Cross-Sell, specialized for this type of data. Flying way under the radar, they acquired some major customers and were delivering serious value.

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Retailers and Brands: Frenemies? BFFs? Who cares! The Consumer Comes Out On Top!

When it comes to collaboration between retailers and brands, uneasy tension has been the status quo.  For example, the fight for shelf space between retailer’s private-label brands and CPG branded products brings out such thoughts as “co-opetition.”

But according to a recent article in Variety, an unprecedented level of deal-making with Hollywood studios has swept up not just e-tailers like Amazon.com, Overstock.com, but also traditional retailers like Target, Walmart and Toys R Us “in the battle to nail down exclusive product pacts.”

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