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Abstract

The location analytics industry has the potential to stimulate critical sociological discussions concerning the credibility of data analytics to enact new spatial classifications and metrics of socio-economic phenomena. Key debates in the sociology of geodemographics are revisited in this article in light of recent developments in algorithmic culture to understand how location analytics impacts the structural contexts of classification and relevance in digital marketing. It situates this within a locative imaginary, where marketers are experimenting with consolidating the epistemes of behavioural targeting, classification and performance evaluation in urban environments through spatial analytics of movement. This opens up future research into the political and cultural economies of relevance in media landscapes and the social shaping of valuable subjects by third-party data brokers and analytics platforms that have become matters of public and regulatory concern.

Keywords

data analytics geodemographics location analytics mobile digital culture relevance

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References

Amoore

(2011). Data derivatives: On the emergence of a security risk calculus for our times. Theory, Culture & Society, 28, 24–43.

Amoore

Piotukh

(2015). Life beyond big data: Governing with little analytics. Economy and Society, 44, 341–366.

Amoore

Raley

(2017). Securing with algorithms: Knowledge, decision, sovereignty. Security Dialogue, 48, 3–10.

Ariztia

(2015). Unpacking insight: How consumers are qualified by advertising agencies. Journal of Consumer Culture, 15, 143–162.

Arvidsson

(2016). Facebook and finance: On the social logic of the derivative. Theory, Culture & Society, 33, 3–23.

Barreneche

(2012). Governing the geocoded world: Environmentality and the politics of location platforms. Convergence: The International Journal of Research into New Media Technologies, 18, 331–351.

Barreneche

Wilken

(2015). Platform specificity and the politics of location data extraction. European Journal of Cultural Studies, 18, 497–513.

Beer

(2009). Power through the algorithm? Participatory web cultures and the technological unconscious. New Media & Society, 11, 985–1002.

Beer

(2013). Genre, boundary drawing and the classificatory imagination. Cultural Sociology, 7, 145–160.

10.

Beer

(2017a). The data analytics industry and the promises of real-time knowing: Perpetuating and deploying a rationality of speed. Journal of Cultural Economy, 10, 21–33.

11.

Beer

(2017b). The social power of algorithms. Information, Communication & Society, 20, 1–13.

12.

Beer

(2018). Envisioning the power of data analytics. Information, Communication & Society, 21, 465–479.

13.

Beer

(2019). The data gaze: Capitalism, power, and perception. London, UK: Sage.

14.

Beer

Burrows

(2013). Popular culture, digital archives and the new social life of data. Theory, Culture & Society, 30, 47–71.

15.

Bhattacharyya

(2019, March 21). With new store types and upgraded digital chops, Starbucks is evolving its retail strategy. Digiday. Retrieved from https://digiday.com/retail/starbucks-retail-strategy/ (accessed 21 March 2019).

16.

Bucher

(2017). The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms. Information, Communication & Society, 20, 30–44.

17.

Burrows

Gane

(2006). Geodemographics, software and class. Sociology, 40, 793–812.

18.

Carah

(2017). Algorithmic brands: A decade of brand experiments with mobile and social media. New Media & Society, 19, 384–400.

19.

Cheney-Lippold

(2011). A new algorithmic identity: Soft biopolitics and the modulation of control. Theory, Culture & Society, 28, 164–181.

20.

Connelly

(2017). Telefónica’s Axonix acquires leading UK geolocation data startup Statiq. The Drum. Retrieved from www.thedrum.com/news/2017/03/10/telef-nicas-axonix-acquires-leading-uk-geolocation-data-startup-statiq (accessed 27 March 2019).

21.

Cox

(2019). T-Mobile, Sprint, and AT&T are selling customers’ real-time location data, and it’s falling into the wrong hands. Motherboard. Retrieved from https://motherboard.vice.com/en_us/article/nepxbz/i-gave-a-bounty-hunter-300-dollars-located-phone-microbilt-zumigo-tmobile (accessed 27 March 2019).

22.

Crampton

J. W.

Graham

Poorthuis

Shelton

Stephens

Wilson

M. W.

Zook

(2013). Beyond the geotag: Situating ‘big data’ and leveraging the potential of the geoweb. Cartography and Geographic Information Science, 40, 130–139.

23.

Crandall

(2010). The geospatialization of calculative operations: Tracking, sensing and megacities. Theory, Culture & Society, 27, 68–90.

24.

Davis

Walsh

(2017). Distinguishing financialization from neoliberalism. Theory, Culture & Society, 34, 27–51.

25.

de Souza e Silva

. (2006). From cyber to hybrid: Mobile technologies as interfaces of hybrid spaces. Space and Culture, 9, 261–278.

26.

de Souza e Silva

Frith

. (2010). Locative mobile social networks: Mapping communication and location in urban spaces. Mobilities, 5, 485–505.

27.

Degli Esposti

. (2014). When big data meets dataveillance: The hidden side of analytics. Surveillance & Society, 12, 209–225.

28.

Esri. (2013). The top five reasons why location analytics is essential for retailers. Retrieved from http://www.esriuk.com/~/media/esri-uk/Retail/EsriUKScientificRetailWhitepaper.pdf?la=en (last accessed 12 September 2019).

29.

Esri. (2014). Location analytics for marketing. Retrieved from www.esri.com/library/brochures/pdfs/location-analytics-marketing.pdf (last accessed 12 September 2019).

30.

Fourcade

Healy

(2013). Classification situations: Life-chances in the neoliberal era. Accounting, Organizations and Society, 38, 559–572.

31.

Fourcade

Healy

(2016). Seeing like a market. Socio-Economic Review, 15, 9–29.

32.

Frith

(2012). Splintered space: Hybrid spaces and differential mobility. Mobilities, 7, 131–149.

33.

Gabriel

Lang

(2006). The unmanageable consumer (2nd ed.). London, UK: Sage.

34.

Gillespie

(2014). The relevance of algorithms. In Gillespie

Boczkowski

P. J.

Foot

K. A.

(Eds.), Media technologies (pp. 167–194). Cambridge, MA. The MIT Press.

35.

Goriunova

(2019). The digital subject: People as data as persons. Theory, Culture & Society. Advance online publication. https://doi.org/10.1177/0263276419840409

36.

Gravy Analytics. (2018). PeerLogix and Gravy Analytics partner to create next-level audience discovery segments, combining location and OTT viewership data. Retrieved from https://gravyanalytics.com/latest-news/peerlogix-gravy-analytics-partner-create-next-level-audience-discovery-segments-combining-location-ott-viewership-data/ (accessed 20 March 2019).

37.

Hallinan

Striphas

(2016). Recommended for you: The Netflix Prize and the production of algorithmic culture. New Media & Society, 18, 117–137.

38.

Helmond

(2015). The platformization of the web: Making web data platform ready. Social Media + Society, 1. https://doi.org/10.1177/2056305115603080

39.

Interactive Advertising Bureau. (2016). IAB mobile location data guide for publishers. Retrieved from www.iab.com/wp-content/uploads/2016/07/IAB_Mobile_Location_Data_Guide_Aug2016_Revised.pdf (accessed 6 August 2019).

40.

Kitchin

(2014). The real-time city? Big data and smart urbanism. GeoJournal, 79, 1–14.

41.

Koo

(2016, March 23). What is a marketing stack? – And how AdRoll designed ours. AdRoll Blog. Retrieved from https://blog.adroll.com/trends/what-is-a-marketing-stack (accessed 25 October 2018).

42.

Laband

(2015). How to survive (and surf) the mobile data tsunami | ExchangeWire.com. ExchangeWire.com. Retrieved from www.exchangewire.com/blog/2015/09/08/how-to-survive-and-surf-the-mobile-data-tsunami/ (accessed 27 March 2019).

43.

Langley

Leyshon

(2017). Platform capitalism: The intermediation and capitalization of digital economic circulation. Finance and Society, 3, 11–31.

44.

Lash

(2007). Power after hegemony: Cultural studies in mutation? Theory, Culture & Society, 24, 55–78.

45.

Leszczynski

(2016). Speculative futures: Cities, data, and governance beyond smart urbanism. Environment and Planning A: Economy and Space, 48, 1691–1708.

46.

Leyshon

Thrift

(2007). The capitalization of almost everything: The future of finance and capitalism. Theory, Culture & Society, 24, 97–115.

47.

Locomizer. (2014). Press release: Locomizer empowers ad relevancy through geo-behavioral interest profiling, partners with TapTap Networks – locomizer. Retrieved from http://locomizer.com/press-release-locomizer-empowers-ad-relevancy-through-geo-behavioral-interest-profiling-partners-with-taptap-networks/ (accessed 25 March 2019).

48.

Locomizer. (2018). Locomizer and HERE partner in using location data to better define and target audiences – locomizer. Retrieved from http://locomizer.com/locomizer-and-here-partner-in-using-location-data-to-better-define-and-target-audiences/ (accessed 19 March 2019).

49.

Lury

(2013). Topological sense-making: Walking the mobius strip from cultural topology to topological culture. Space and Culture, 16, 128–132.

50.

Lury

Day

(2019). Algorithmic personalization as a mode of individuation. Theory, Culture & Society, 36, 17–37.

51.

Mager

(2012). Algorithmic ideology: How capitalist society shapes search engines. Information, Communication & Society, 15, 769–787.

52.

McGuigan

(2019). Automating the audience commodity: The unacknowledged ancestry of programmatic advertising. New Media & Society, 21, 11–12.

53.

Miles

(2019, March 8). These 6 location data providers are changing the way brands target consumers. Street Fight. Retrieved from https://streetfightmag.com/2019/03/08/these-6-location-data-providers-are-changing-the-way-brands-target-consumers/ (accessed 25 March 2019).

54.

Nadler

Crain

Donovan

(2018). Weaponizing the digital influence machine: The political perils of online ad tech. Data & Society. Retrieved from https://datasociety.net/output/weaponizing-the-digital-influence-machine/ (accessed 1August 2019).

55.

Pasquale

(2015). The black box society: The secret algorithms that control money and information. Cambridge, MA: Harvard University Press.

56.

Phillips

D. J.

(2005). From privacy to visibility. Social Text, 23, 95–108.

57.

Placed. (2014). Placed location panel methodology: Panelists, composition, and normalization. Retrieved from https://www.placed.com/resources/white-papers/placed-methodology (accessed 25 March 2019).

58.

PwC. (2018). IAB 2017 full year internet advertising revenue report. Retrieved from www.iab.com/wp-content/uploads/2018/05/IAB-2017-Full-Year-Internet-Advertising-Revenue-Report.REV2_.pdf (last accessed 12 September 2019).

59.

Ramaswamy

(2015). How micro-moments are changing the rules. Think with Google. Retrieved from www.thinkwithgoogle.com/marketing-resources/micro-moments/how-micromoments-are-changing-rules/ (accessed 26 March 2019).

60.

Rouvroy

Berns

(2013). Gouvernementalité algorithmique et perspectives d’émancipation: Le disparate comme condition d’individuation par la relation? Réseaux, 177, 163–196. ( Libbrecht

Trans., Algorithmic governmentality and prospects of emancipation: Disparateness as a precondition for individuation through relationships? Retrieved from www.cairn-int.info/article-E_RES_177_0163–algorithmic-governmentality-and-prospect.htm#xd_co_f=MjIyMmUyZGUxZTgxZGJhNTUwMjE1NjgyNzUxMjU1Mjc=~ [last accessed 12 September 2019].)

61.

Ruppert

(2011). Population objects: Interpassive subjects. Sociology, 45, 218–233.

62.

Ruppert

(2012). The governmental topologies of database devices. Theory, Culture & Society, 29, 116–136.

63.

Savage

Burrows

(2007). The coming crisis of empirical sociology. Sociology, 41, 885–899.

64.

Savage

Burrows

(2009). Some further reflections on the coming crisis of empirical sociology. Sociology, 43, 762–772.

65.

Schleifer

DeSoucey

(2015). What your consumer wants: Business-to-business advertising as a mechanism of market change. Journal of Cultural Economy, 8, 218–234.

66.

Sheller

(2017). From spatial turn to mobilities turn. Current Sociology, 65(4), 623–639.

67.

Shields

(2014). Is ‘location’ the new cookie? ExchangeWire.com. Retrieved from www.exchangewire.com/blog/2014/04/28/is-location-the-new-cookie/ (accessed 26 October 2018).

68.

Simon

F. M.

(2019). ‘We power democracy’: Exploring the promises of the political data analytics industry. The Information Society, 35, 158–169.

69.

Skeggs

(2014). Values beyond value? Is anything beyond the logic of capital? The British Journal of Sociology, 65, 1–20.

70.

Skeggs

Yuill

(2016). The methodology of a multi-model project examining how Facebook infrastructures social relations. Information, Communication & Society, 19, 1356–1372.

71.

Smith

G. J.

(2018). Data doxa: The affective consequences of data practices. Big Data & Society, 5. https://doi.org/10.1177/2053951717751551

72.

Smith

(2019a). Metrics, locations, and lift: Mobile location analytics and the production of second-order geodemographics. Information, Communication & Society, 22, 1044–1061

73.

Smith

(2019b). People-based marketing and the cultural economies of attribution metrics. Journal of Cultural Economy, 12, 201–214.

74.

Srnicek

(2017). Platform capitalism. Cambridge, UK: Polity Press.

75.

Striphas

(2015). Algorithmic culture. European Journal of Cultural Studies, 18, 395–412.

76.

Thatcher

(2017). You are where you go, the commodification of daily life through ‘location’. Environment and Planning A: Economy and Space, 49, 2702–2717.

77.

Totaro

Ninno

(2014). The concept of algorithm as an interpretative key of modern rationality. Theory, Culture & Society, 31, 29–49.

78.

Tufekci

(2014). Engineering the public: Big data, surveillance and computational politics. First Monday, 19. https://firstmonday.org/article/view/4901/4097

79.

Turow

McGuigan

Maris

E. R.

(2015). Making data mining a natural part of life: Physical retailing, customer surveillance and the 21st century social imaginary. European Journal of Cultural Studies, 18, 464–478.

80.

Valentino-DeVries

Singer

Keller

M. H.

Krolik

(2018). Your apps know where you were last night, and they’re not keeping it secret. The New York Times. Retrieved from www.nytimes.com/interactive/2018/12/10/business/location-data-privacy-apps.html (accessed 8 August 2019).

81.

Webber

Burrows

(2018). The predictive postcode: The geodemographic classification of British society. London, UK: Sage.

82.

Whittaker

(2019). Despite promises to stop, US cell carriers are still selling your real-time phone location data. TechCrunch. Retrieved from http://social.techcrunch.com/2019/01/09/us-cell-carriers-still-selling-your-location-data/ (accessed 27 March 2019).

83.

Wilken

(2019). Communication infrastructures and the contest over location positioning. Mobile Media & Communication, 7, 341–361.

84.

Willems

(2019). ‘The politics of things’: Digital media, urban space, and the materiality of publics. Media, Culture & Society. Advance online publication. https://doi.org/10.1177/0163443719831594

85.

Williams

(2017). Swirl Networks, AccuWeather partner on mobile location marketing. Mobile Marketer. Retrieved from www.mobilemarketer.com/news/swirl-networks-accuweather-partner-on-mobile-location-marketing/442503/ (accessed 26 March 2019).

86.

Williams

(2019). Waze changes direction toward ‘destination-based marketing’. Mobile Marketer. Retrieved from www.mobilemarketer.com/news/waze-changes-direction-toward-destination-based-marketing/552501/ (last accessed 12 September 2019).

87.

Wilson

M. W.

(2012). Location-based services, conspicuous mobility, and the location-aware future. Geoforum, 43, 1266–1275.

88.

Wingfield

(2018). Inside Amazon Go, a store of the future. The New York Times. Retrieved from from www.nytimes.com/2018/01/21/technology/inside-amazon-go-a-store-of-the-future.html?action=click&contentCollection=Canada&module=Trending&version=Full&region=Marginalia&pgtype=article (accessed 8 August 2019).

89.

Zuboff

(2015). Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30, 75–89.

90.

Zuboff

(2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. London, UK: Profile Books.

91.

Zwick

Denegri Knott

(2009). Manufacturing customers: The database as new means of production. Journal of Consumer Culture, 9, 221–247.

The locative imaginary: Classification,context and relevance in location analytics

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