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Playout Intelligence

Recommendations At The Work Place

The independent consumer-research company Big Research writes in November 2008 about recommendations at the work place: “Before they make a purchase, 93% of Americans consult their co-workers for advice.”

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Personalization and recommendations are a hot topics for many telecoms right now, regardless of tier 1, 2, or 3.  Two months ago I stumbled over a snipped by Big Research, an independent consumer-research firm, looking at a traditionally advertising-free and uncluttered environment and how brand engagement works:

Of the 3,389 U.S. employees surveyed in the study, 68% admitted socializing with co-workers during work breaks, and another 42% said they phoned, texted or e-mailed friends and family from the office during the work day.

[...]

Before they make a purchase, 93% of Americans consult their co-workers for advice.

Another advertisement and research service opportunity that is left aside by telecoms like a bad stepchild when working at their currently oh-so hyped great business services. While subscriber numbers are churning quickly, telecoms are again focusing on access and data services. While the first can be a real differentiation, the second is often provided cheaper, quicker, and more flexible by more specialized companies with far more detailed tailoring to customer needs.

It is also intriguing for me that that Big Research’s results are based on research data from December 2007 – a year old – by WorkPlace Media’s “proprietary permission-based network” of over 920,000 U.S. companies across a variety of industries to gain brand insights from the at-work consumer. While their research and methods are actually quite refined, the website reads a little lofty with lots of buzz words:

Our custom online end-user research capability is designed to enhance our clients’ knowledge of the at-work consumer and can be tailored to retrieve data of value to companies utilizing our program. We work closely with our clients to understand transaction level results, folding them into ROI calculations that guide future programming.

I can just recommend sending out an email to them…

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