RichRelevance
RichRelevance is the global leader in experience personalization, driving digital growth and brand loyalty for more than 200 of the world’s largest B2C and B2B brands and retailers. The company leverages advanced AI technologies to bridge the experience gap between marketing and commerce to help digital marketing leaders stage memorable experiences that speak to individuals – at scale, in real time, and across the customer lifecycle. Headquartered in San Francisco, RichRelevance serves clients in 42 countries from 9 offices around the globe.

Interviewing RichRelevance for API World 2015 Conference

What services do you currently enable developers to build on via your API’s?

Our SaaS products offer APIs that allow integration of our personalization suite in omnichannel retail. We have APIs to integrate our applications in e-commerce sites but also mobile SDKs and APIs that enable integration into clienteling applications on tablets, in-store kiosks, mobile shopping apps, Point-of-Sales terminals and contact center applications. Additionally this year RichRelevance launched a series of DaaS (Data as a Service) APIs which allow retailers to access and leverage data within our platform to develop innovative retail experiences. These APIs, which are commercialized under the name of Build, are building blocks that allow retailers to integrate modules of RichRelevance’s platform into their retail apps.

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Omnichannel retail at tipping point says survey

Personalisation group RichRelevance and digital marketing benchmarking specialist L2 have previewed findings from their upcoming Intelligence Report: Omnichannel 2015.

The report analyses the efforts of leading retailers to blend digital and in-store experiences, in a bid to identify those that are successfully delivering a true omnichannel experience.

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UK Consumers Welcome Product Personalisation In Stores but Reject Facial Recognition

Almost three quarters (72 per cent) of UK consumers find personalisation of product recommendations based on purchasing habits a “cool” capability when shopping, according to a new UK study, “Creepy or Cool”, by RichRelevance®.

British shoppers also welcome location-based personalisation in store, with over 6 in 10 (63 per cent) welcoming a mobile personalised map showing item locations and efficient store paths to help them navigate stores more conveniently. Furthermore, 43 per cent find in-store location deals – where their location is tracked in order to trigger personalised promotions whilst shopping – “cool”.

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18 most interesting digital marketing stats from this week

It’s that time of week again. After five days of watching the clock and wondering roughly at what point you swapped your dreams for spreadsheets, the moment you live for is finally here.

No, I’m not talking about the weekend. It’s much better than the weekend. It’s the weekly Econsultancy stats round-up.

Below is a collection of the finest digital marketing stats from this week, all lovingly collated and presented in one handy post.

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UK consumers find in-store facial recognition ‘creepy’

Almost three quarters (72%) of UK consumers find personalisation of product recommendations based on purchasing habits a “cool” capability when shopping, according to new research.

But seven in 10 UK shoppers say the idea of facial recognition technology that identifies age and gender in order to display product recommendations is “creepy”, while three quarters (76%) felt the same about being greeted by their names when walking into a store because their mobile phones registered their entrance.

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Lights that track you are cool, not creepy

It’s a sobering paradox of today’s connected digital world: technology that eases our daily lives also comes with its potential dark side. We gaily click away to buy, browse, carouse, collaborate and entertain. In the process, we give away astonishing amounts of personal information that could easily fall into the wrong hands.

And so it is that here at Lux we often pause and reflect on the ramifications of the fledgling internet of things in which LED light networks are the backbone of an information infrastructure, helping to gather and transmit data on everything from people’s location to traffic and parking conditions to shopping patterns to air quality and temperature.

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