How to become a CXO with Omnichannel Personalization

So you are a personalization expert – congratulations! You are now on the fast track to become a Chief-X-Officer.

That X can be Marketing (CMO), Merchandising (CM’O), Customer (CCO), Experience (CE’O) or Digital (CDO), and ultimately, become the Executive (CEO).

Here’s why personalization is putting all these titles on a convergent path, and you can choose any path as long as it has personalization in it.

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Happy Holidays… in August?! [Part 1 – Holiday Readiness]

While it’s true that I am based in California where cannabis is legal, I will assure you that no substances have been imbibed during the authoring of this seemingly mistimed post.

It’s because most of our retail and brand customers are gearing up for the holiday season right now, in August. And like most of them, the IT cutoff to make any meaningful changes, test, and deploy to production is before September. 

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Not your Grandfather’s Personalization

A quick story. 

About two decades ago, a relatively small ecommerce company focused on selling books introduced a new feature that allowed customers to see what others had liked and purchased, called collaborative filtering, for product recommendations. This feature became popular with the business guys as the “wisdom of crowds” and very soon, every retailer on the planet was scrambling to implement it. 

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How to Personalize without Behavioral Data using NLP

Personalization traditionally works best when you have tons of behavioral data for each product. But how do you personalize for new products or ones that are considered “long-tail”?  How do you ensure that this inventory is immediately visible and recommended to your customers? Well, you couldn’t until recently .. not without NLP.

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Personalization = Data + Decisioning: 3 Data Feeds You Should Prioritize

You can’t have a meeting these days without someone throwing out the platitude “data is key”, but all too often, we find that even with the vast amounts of data being collected, business leverage of this valuable data is a problem

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Will AI Restrict Consumer Choice?

Personalization, at its core, is the idea that as a consumer, you are served exactly what you want, when you want it. AI is being deployed by retailers and brands who understand that this is a “big data” problem and when product catalogs become larger, machines start to perform as good as, if not better than, human merchandisers.

But does this quest for delivering “exactly” hurt consumer choice? 

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How to Get Ready for the Future of Personalization

A McKinsey survey of senior marketing leaders found that only 15 percent of CMOs believe their company is on the right track with personalization. In this recent article, they summarize 3 trends in the future of personalization:

  1. Digitization of Physical Spaces
  2. Scaled Empathy
  3. Usage of Ecosystems by Brands
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RichRelevance Named a Leader in Gartner 2019 Magic Quadrant for Personalization Engines

San Francisco & London 9th July 2019 – RichRelevance, the global leader in experience personalization and the first to deliver on hyper-personalization, has been named a ‘Leader’ in this year’s Gartner Magic Quadrant for Personalization Engines[1]. 

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