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EP19: Neiman Marcus Omnichannel Retail Marketing

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Manage episode 189093724 series 1467122
Content provided by The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

One of the oldest concepts in retail marketing is single view of the customer. That simply means recognizing the shopper as she moves from desktop to mobile device to calling a call center to visiting a physical store. But shoppers share desktop devices with family members and many use multiple mobile devices throughout the day. So how accurately and reliably can those shoppers indeed be tracked? Into this effort goes analytics and probabilistic identification. Jeff Rosenfeld, the VP of analytics at retailer Neiman Marcus, said his chain is doing quite a bit of consistent identification online and mobile. As for call centers and in-store, not so much. Jeff, with the ability to track mobile devices in-store—especially if they ride on your store’s Wi-Fi—so well-established, why aren’t you using that?

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26 episodes

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Archived series ("Inactive feed" status)

When? This feed was archived on May 22, 2018 03:31 (6y ago). Last successful fetch was on February 23, 2018 20:24 (6y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 189093724 series 1467122
Content provided by The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

One of the oldest concepts in retail marketing is single view of the customer. That simply means recognizing the shopper as she moves from desktop to mobile device to calling a call center to visiting a physical store. But shoppers share desktop devices with family members and many use multiple mobile devices throughout the day. So how accurately and reliably can those shoppers indeed be tracked? Into this effort goes analytics and probabilistic identification. Jeff Rosenfeld, the VP of analytics at retailer Neiman Marcus, said his chain is doing quite a bit of consistent identification online and mobile. As for call centers and in-store, not so much. Jeff, with the ability to track mobile devices in-store—especially if they ride on your store’s Wi-Fi—so well-established, why aren’t you using that?

  continue reading

26 episodes

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