Home Data Why Brick-And-Mortar Is The Next Great Data Reservoir

Why Brick-And-Mortar Is The Next Great Data Reservoir


b-a-mRetailers might look like they’re under siege, according to Gartner VP and analyst Andrew Frank, but they’re actually sitting on a pile of “underleveraged data.”

Unfortunately, much of this data isn’t digestible by marketing technologists. In February, The University of Minnesota published a report demonstrating the causal relationship between search engine advertising and local in-store sales.

The report, written by Kirthi Kalyanam, director of the Retail Management Institute at Santa Clara University, John McAteer, Google’s VP of retail and technology, and Jonathan Marek, SVP at Applied Predictive Technologies, documents the massive barriers to turning retail data into attributable marketing.

“As the customers shop across channels, CMOs need to optimize their ad spending to reflect cross-channel advertising impact,” Kalyanam told AdExchanger. “This is a very complex undertaking since there are different data sources and norms across different channels.”

One issue is the wide weekly swings of in-store sales. Another is assessing how online ads impact retail visits over time. There are also the intangible effects of offline marketing and the fact that online ad spend is tied to demand (meaning if advertising in a region or vertical goes up, it’s a result of demand being met and not necessarily attributable to the online campaign itself).

Despite those hurdles, digital marketers are seeing high potential returns in what Frank called “the best unmilled supply of data out there.” Acxiom and MarketShare announced a new partnership this month to bridge in-store and loyalty card data with digital marketing attribution. That comes less than six months after Oracle purchased Datalogix.

For brick-and-mortar businesses, which don’t have industry-scale, anonymized data sets at their disposal, pushing for the kind of business arrangement that Acxiom and MarketShare just instituted could be the quickest way to achieve their goals. Acxiom streamlines the volume of raw data, and MarketShare builds it into its marketing mix analytics, a model that individual retailers can’t replicate and neither tech company could manage on its own.

“[For retailers,] having a ready-made approach to data integration is an important step in this direction,” Kalyanam said in reference to the partnership.

A notable exception could be Walmart, which leverages its own data volume to act as a media-buying agency. Huw Griffiths, global CPO at Universal McCann, said that besides the Walmart Exchange (WMX), “[retailers] will need some third-party partnership in order to make [their data] actionable.” Griffiths called it a “huge opportunity,” but was clear that retailers haven’t nailed down the ability to zero in on their customers.

“In order to fully unlock the data, it needs to be fused to other information about the people whose purchase behavior it is capturing,” Griffiths said. “Who they are, where they live, what ads they see, how they feel about brands, etc. This information then becomes immensely valuable.”

Venky Natrajan, SVP of marketing services products and engineering at Acxiom, said the pressure from retailers to tackle the issue was the reason Acxiom partnered with MarketShare. “A really important note here is that this partnership comes out of a growing demand we’re seeing around incorporating segmentation data directly into the analytics,” he said.


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MarketShare, for its part, is “doubling down on its commitment to the retail space,” said William Merchan, company SVP and GM, who also pointed to MarketShare’s recent purchase of DataSong, a retail-focused attribution company.

What could be a potential prize down the road, Merchan said, is the ability for a digital marketer to apply its insights to in-store and operational practices, with much deeper integration than a typical software provider.

“At this stage, the most logical activation point we are seeing is using this offering to drive marketers’ targeting, media buying and data strategy,” he said. “At the same time, once you have models available at this level of granularity with these rich data sets, the opportunities open for new use cases – like pricing strategies and inventory optimization.”

Frank compared the partnership between Acxiom and MarketShare to an explorer setting sail across an ocean, both in terms of the optimism for opening new terrain and the magnitude of the challenge ahead.

“As digital data becomes saturated,” he said, “data from the physical world becomes that next frontier.”

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