RichRelevance Showcases New Omnichannel Retail at Shop.org Digital Summit 2015

New omnichannel shopping experiences will be available at Booth #908 throughout the show

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L2 Releases Intelligence Report: Omnichannel Retail in Partnership with RichRelevance

New report quantifies the brands, trends and strategies that most effectively blend the digital and in-store experience to delight shoppers and improve performance

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TTS Group Gets Personal on ‘Back to School’ Products

Data-driven recommendation technology delivers highly personalised customer experience 

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Petit Bateau selects RichRelevance to personalise the customer experience in five countries

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Premier French brand Petit Bateau relies on RichRelevance to provide an online shopping experience in line with the high quality of its children’s apparel line

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UK consumers welcome product personalisation in stores but reject facial recognition

RichRelevance survey of over 1,000 UK consumers reveals Londoners are most open to digital enhancements to shopping experiences while Yorkshire most “creeped out”

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L2 and RichRelevance Preview Initial Findings from Upcoming L2 2015 Omnichannel Study

New research and industry best practices will be presented at invite-only Demystifying Omnichannel event series in Paris (July 9), London (July14) and New York City (July 16)

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Ysance selects RichRelevance to optimize the customization of its Digital Data Factory

Paris, France – July 2, 2015 – Ysance, the publisher of the Digital Data Factory, DMP First Party Data, has expanded its digital marketing capabilities by joining forces with RichRelevance, the world leader in omnichannel personalization. The partnership will see e-marketers and web business owners create truly cross-channel marketing strategy, based on ultra-personalized and real-time data, supported by Relevance Cloud.

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Sound House Improves Web & Mobile Experience with RichRelevance’s Omnichannel Personalization Solution

Goes live within 7 weeks of project launch; immediate results include 10 -25% boost in major KPIs such as average order value and order volume

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