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Practice paper

The other 180°: Filling in the other half of the 360° customer view

Gary Angel
Applied Marketing Analytics: The Peer-Reviewed Journal, 4 (2), 136-148 (2018)
https://doi.org/10.69554/DFPH8908

Abstract

Compared with the digital experience, the shopper in-store journey has traditionally been under-measured. Stores know how many shoppers they get (door-counting) and what they have sold (point-of-sale). What happens in between, however, has long been a mystery. Thanks to new technologies such as camera-tracking, Wi-Fi geolocation and mobile app location, however, the in-store shopper journey is becoming increasingly trackable. This paper looks at the basics of shopper measurement: what gets tracked and what the data look like. It then reviews the core collection technologies with attention to their strengths and weaknesses, relative to specific business use cases. This is followed by an overview of the various metrics that can be inferred from the data: everything from draws to lingers to exits. Metrics provide a language for describing the data in intelligible terms, and the in-store journey requires a new language — although it is one that has been heavily adapted from digital analytics. Finally, some key use cases for such data are considered, allowing the analyst to go from the basics of collection to data aggregation and translation, and finally to real analysis.

Keywords: retail analytics; shopper measurement; in-store tracking; geolocation; store measurement; shopper tracking

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Author's Biography

Gary Angel is the founder and Chief Executive of Digital Mortar. Previously, Gary led Ernst & Young’s Digital Analytics Practice. Gary’s last venture — Semphonic (the leading US digital analytics consultancy) — was acquired by Ernst & Young in 2013. His book, ‘Measuring the Digital World’, was published by FT Press in 2016.

Citation

Angel, Gary (2018, September 1). The other 180°: Filling in the other half of the 360° customer view. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 4, Issue 2. https://doi.org/10.69554/DFPH8908.

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cover image, Applied Marketing Analytics: The Peer-Reviewed Journal
Applied Marketing Analytics: The Peer-Reviewed Journal
Volume 4 / Issue 2
© Henry Stewart
Publications LLP

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