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Koyasu and Saito (2023a, November 22). Crystallising the Digital First Moment of Truth of Unknown Targets . ANA - ESOMAR. Retrieved December 10, 2024, from
Somjit and Krishnan (2023a, November 22). How Many Value Propositions is too Many?. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/how-many-value-propositions-is-too-many--12337
Ford, S. (2020a, November 02). Applying AI to real shopper behaviour in real stores. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/applying-ai-to-real-shopper-behaviour-in-real-stores
Leumbou and Massen (2020a, September 17). Is in-store research and accompanied shopping still feasible if retailers already struggle with facilitating distance between shoppers?. ANA - ESOMAR. Retrieved December 10, 2024, from
Derval, D. (2019a, November 10). The shoe mystery. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/the-shoe-mystery
Simmenauer and Mezerette (2019a, November 10). Gen Z: Some like it old. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/gen-z-some-like-it-old-10860
Bulla and Cid (2019a, April 09). Mobile trend (Portuguese). ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/mobile-trend-portuguese-
Charette, M. (2018a, December 12). McNext. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/mcnext
Smaluhn and Gordo (2018a, September 23). A game changer in understanding toy purchasers. ANA - ESOMAR. Retrieved December 10, 2024, from
https://ana.esomar.org/documents/a-game-changer-in-understanding-toy-purchasers