Platt Retail Institute: Audience Measurement Technology Optimizes the In-Store Digital Media Opportunity at Whole Foods Markets

By David Haynes,
founder, pressDOOH
Through
a special arrangement, presented here for discussion, is a summary
of a current article from the Platt Retail Institute’s Journal
of Retail Analytics.
A network of
digital screens installed in Whole Foods Markets in North America is
providing all the medium’s stakeholders with some unique and valuable
insights on the shopping audience and its dynamics. Operating so far
in Whole Foods in Chicago and Toronto, with more under agreement, the
network uses digital screens to help vendors raise brand and product
awareness, educate shoppers and, most critically, drive sales.
The program
is particularly important in the nutritional grocer sector because many,
if not most, of the companies with products on the shelves do not have
the budgets to build brand awareness using mainstream media.
Each store
has as many as 11 “zones” – or marketing channels – defined and located
by product area such as bakery, produce or seafood. Those stations have
one or more large flat panel LCD screens positioned within easy view
of shoppers, with a small sensor fixed in the screen fascia. Biometric
software technology detects and calculates how many different faces look,
for how long and when, and also segments viewers by gender.
A regular report,
dubbed Pulse Analytics, provides details on overall audience viewership,
individual station viewership, and by request only, detailed campaign
viewership for the digital in-store program. The data so far shows some
commonality across the retail estate, and also some unique store-to-store
dynamics such as:
- Total audience:
Foot traffic in a typical store is about 100,000 monthly, and the impression
count suggests more than 75 percent viewership store by store. - Peak viewing
times: Peak time-of-day impressions vary considerably store to store.
Early to mid-afternoon is consistently a high traffic period, but while
impressions drop off steadily from then in a suburban location, they
stay high through the dinner hour at a more urban location and actually
peak mid-evening in the Chicago store. - Day of week:
Tuesday is the strongest weekday for audiences, while Saturday is the
highest day of the week in the Toronto stores and Sunday slightly higher
than Saturday in the Chicago store. - Most viewed
stations: Results vary by store, but grocery and supplements are high.
The stations where there are not, typically, brand-oriented messages
are the weakest – such as seafood, meat and produce. - Gender mix:
More than two-to-one female over male, but the data show in some locations
the male percentage is higher at certain stations, such as prepared
foods.
The data also
gives Whole Foods an
understanding of the actual viewing time, confirming this is a glance
or pass-by media in which shoppers steadily scan the surroundings. The
technology is showing shoppers are engaging with the screens for less
than three seconds on average, with some spots appearing to hold attention
longer than others. To counter that short engagement time, content is
being developed that is short and punchy and has a quick call to action
of some kind. Vendors are now using the data to get a far better grasp
of shopper demographics and traffic patterns across the entire store,
down to the individual stations.
Discussion Questions:
What true benefit do you expect retailers will gain from shopping metrics
tied to digital signage networks? Is the ROI there yet for retailers?
What factors will impact vendor adoption of the medium?
Join the Discussion!
14 Comments on "Platt Retail Institute: Audience Measurement Technology Optimizes the In-Store Digital Media Opportunity at Whole Foods Markets"
You must be logged in to post a comment.
You must be logged in to post a comment.
Most of the things you mentioned were things that any retailer worth his salt should already know.
Studies like this have been taking place through observation for many years. This appears to be far more detailed, but it all boils down to what this means and how stores can turn data into actionable information.
I assume it will take some time to gather enough data to do this. It still begs the question–what’s it going to accomplish? Is it going to help sell more goods? Make for more efficient assortments? Better store design? Or, is it another exercise in statistical self-satisfaction?
Given that there are still not meaningful metrics tied to television advertising in terms of ROI (i.e., where the return is based on sales lift, not some metric like reach, impressions, awareness or even purchase intent), there’s no reason that we should expect audience measurement in-store to advance ahead…with one glaring caveat: the medium is in-store!
There are ways to establish tests and controls to determine sale lift, both based on customer and product sales. To the extent that merchants employ proper testing techniques, it’s all measurable. It really depends on the degree to which that firm is oriented around quantitative tracking of marketing–and especially media–investments.
Today, there are in-store signage companies with rigorous testing capabilities and given the nascence of the industry, they are key to proving the concept. It might not be here today pervasively but it will be, and sooner rather than later.
Ok, we know what screens were looked at, when, for how long, and which ones were more popular by gender. My question is simple–what did it do for sales?
I am sure that Whole Foods didn’t enter into this program to provide their customers access to various messages from their suppliers. They saw this as a way to sell more stuff or more additional advertising money or probably both. Did they?
It would seem that the impact of the program should be measurable. If the in-store media industry wants to sell more retailers on the concept, then they need to provide research that documents the results.
This might work better in different retailer channels than supermarkets, where everyone is in a hurry and stopping in the middle of an aisle to look at something is likely to get you bumped by a hurried shopper with “cart rage.” The “three seconds on average” comment would give me pause if I were spending the money for this research. There’s value down the line for this sort of thing, but the low-hanging fruit is not in the supermarket.
While I applaud the effort mentioned above, I believe that it is still a case of not fully understanding the true value of the retail environment. Success at retail is measured in sales; shoppers register their approval by opening their wallets…simple as that.
It seems that traditional marketing is looking for a place to validate its services and tries to apply the rules from outside retail into the retail arena. Intent to purchase and awareness are all trumped by conversion. As true marketers, we need to look for the clues that may be subconscious and hard to read, and develop strategies that are based on actual shopper actions.
It is good to see everyone picking up on the 3 second thing. I’m sure there are many more shoppers for whom the exposure is simply a glance. Anything moving in an otherwise static environment needs to be assessed by the shopper for filtering out–which is probably what most of the few exposures are accomplishing.
The real problem here is that there is a beguiling tendency to think of television and computer screens when thinking about digital media in-store. People have wasted hundreds of millions of dollars trying to “think TV” relative to in-store media.
The problem is so bad that I have resorted to saying “shoppers are NOT an audience!!!” The ephemeral, incidental exposures in the store are mostly an addition to the clutter already there. The exception is not the rule.
These comments are addressed particularly to CPG/FMCG stores, such as Whole Foods.
The article states, “Biometric software technology detects and calculates how many different faces look, for how long and when, and also segments viewers by gender…” this is one key fact that has not been brought out in many of the comments so far. Technology exists today (e.g. http://bit.ly/MSUwA) that can not only perform the functions mentioned, but can also actually determine the human reactions to the advertising messages. We are now at a point where we are creating computers that know how you feel. This is the source for generating new metrics that can drive true, tangible ROI for these kind of efforts.
Whole Foods is hopefully embarking upon this innovative journey to find real value in their marketing strategy based upon actual measurable habits that their customers are exhibiting. This is good stuff. More companies need to take advantage of what is now out there.
In-store digital signage with aggregate measurement is just another form of mass media–no customization is possible based on customer knowledge. As another post noted, there is also no direct connection of these in-store ads to sales, and that is the most critical link of all.
In all the tests I have seen of in-store media, there is a short-term lift of around 10%–no matter what the media is. Then as the effort becomes more common, the results dwindle to nothing. I would expect the same results here.
In today’s data-rich world, the keys to the kingdom belong to marketers who can leverage customer insight to personalize and expedite the individual customer’s experience. Anything else is just “spray and pray,” even if it is only to store customers.
Active TVs in a retail environment are nothing more than POP noise. These continuous advertisements distract their audience from purchasing their products in the environment that Whole Foods has tried to establish and instead, set up a background noise that must be overcome on every aisle. Whole Foods and other retailers need to stick to customer service, eliminating out-of-stocks, better shelf presentation, and product management. Anything else is a distraction from their core competencies.
This will be just another data point, which the store will add to their coupon data points, register data points, etc; all of which are not properly data drilled or mined in order to maximize their information. Keep it simple and Whole Foods will continue with their success.