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Cohenar, J. (2018a, March 21). PEPFlix. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/pepflix
Mociulsky, Alarcón and Tarzibachi (2018a, March 19). Performance: The "F word". ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/performance-the-f-word-
Angel, Cartagena, Mendez, Velasquez and León (2018a, March 19). IoT and market research. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/iot-and-market-research
Cilley, C. (2018a, March 16). Millennial lens. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/millennial-lens
Garritano and Tavares (2018a, March 15). Redesigning a brand tracker. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/redesigning-a-brand-tracker
Fragni, Lipari, Vistalli and Espio (2018a, March 15). Data analytics & machine learning improving quality of life. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/data-analytics-machine-learning-improving-quality-of-life
Yuan and Rodrigo (2018a, March 15). McDonald's deeper consumer understanding. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/mcdonald-s-deeper-consumer-understanding
Fernández and Gómez (2018a, March 14). The challenge of getting insights for a country brand. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/the-challenge-of-getting-insights-for-a-country-brand
Abarca, Arizpe, Duhart, RamÃrez and Zepeda (2018a, March 14). Machine learning evolving computer vision. ANA - ESOMAR. Retrieved April 28, 2024, from
https://ana.esomar.org/documents/machine-learning-evolving-computer-vision