Findings that remained hidden with conventional analyzes. View All Case Studies. The company has gained 1. Sign up and receive our latest thinking, insights and strategies to help your business grow better. Causal artificial intelligence can help, as the example shows impressively. Industry knowledge of experts is a necessary but not sufficient prerequisite, because the variety of simultaneously acting cause-and-effect relationships cannot be deciphered by a human being manually.
The case study shows the crucial importance of a precise understanding of what motivates the customers in their market to act as they do. Still, data is useless if it is not possible to identify the true cause-and-effect relationships from them.
Importance of the Findings: The comprehensive brand program extends from positioning, messaging and communications to customer experience and employee engagement.
Technology and Operations Management. In these, we measure the willingness to change to T-Mobile, the perception of the brand image, the extent to which the new positioning has already been learnedand, above all, the uncrarier of the customers and prospective customer regarding the central purchasing criteria such as network quality, price, contract obligation, service or devices.
How Do We Get There? Artificial intelligence reveals the key loyalty drivers for mobile provider Why Good Sex is not enough: Success factors influence each other indirect effectschange their meaning depending on the context interaction and depending on their occurrence non-linearity.
T-Mobile addressed this question to us because the question of why, the question about the central cause of success is our specialty. Pisano and Francesca Gino Citation: John Legere took over leadership of the company as CEO and was given free rein from the headquarters.
We situate these findings in the literature on self-protection. T-Mobile wanted to clearly differentiate itself from its wireless competitors and from tried and tired industry practices.
John Beshears and Francesca Gino. Case Studies Solutions Expertise Industries.
How T-Mobile Doubled its Market Share through Artificial Intelligence
Jeff Gourdji Digital Transformation. His strategy was to move heaven and earth, so that customers would again opt for T-Mobile. Cite View Details Educators Purchase.
Gino In six studies, we show that after experiencing a threat to their abilities, individuals who misrepresent their performance as better than it actually is boost their feelings of competence. Join our mailing list Sign up and receive our latest thinking, insights uncarrieg strategies to help your business grow better. It is distinguished by three captivating properties:.
Addressing telecom customer frustrations
The most important and at the same time most surprising insight was this: The example also shows how conventional statistics in such real-world questions often are not sufficient. Artificial Intelligence and Machine learning algorithms can support management in extracting valuable information from the ocean of data. How T-Mobile Doubled its Market Share through Artificial Intelligence What can you advise a brand that has a qualitatively worse product, operates in a largely commoditized market and has suffered massive losses for years?
But the mother company found no buyer for the unloved daughter.
T-Mobile Strategy Addresses Customer Frustrations | Prophet
B dollars in annualized revenue growth. Getting More from the Brand Tracker: Measures causality not correlations, and thus avoids the classic pseudo insights. Years of massive losses lay behind it.
Cite View Details Find at Harvard. Since the Un-carrier launch in March, T-Mobile has steadily brought this strategy to life at every brand touch point. How do you find key success drivers?
Cite View Details Purchase Related.