Mobile is changing us.
- Researchers are exploring how mobile phone data may help determine whether someone is suffering from depression.1
- Leading medical studies are now developing strategies for mining mobile data to support learning about the spread of diseases by monitoring attitudes and concerns about infectious diseases.2
- Scientists have shown that mobile phone data can accurately predict what the phone’s owner will do tomorrow.3
The mobile opportunity.
Consumers showing increasing preference for mobile devices across market segments.
Strategy as marketing shifts to mobile.
Mobile strategy’s significance to digital maturity.
“We’re in the midst of a journey right now in trying to figure out how to scale mobile from a tiger team approach…to finding ways to spread responsibility for mobile across, frankly, the whole company, down to store manager levels and people that work in store operations. Mobile’s not something that can be successful at The Home Depot with a small team of ninjas. We need to have the entire company behind the effort.”
Mobile experience creation.
Focus of mobile efforts.
Effectiveness of paid media.
Technologies currently used for mobile apps.
Tactics used to drive re-engagement.
- Aditya Tejas, “Mobile Phone Usage Patterns Can Predict Depression: Study,” International Business Times, July 16, 2015. http://www.ibtimes.com/mobile-phone-usage-patterns-can-predict-depression-study-2011314
- Amy Wesolowski, C. J. E. Metcalf, Nathan Eagle, et al., “Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data,” Proceedings of the National Academy of Sciences of the United States of America, 2015. http://www.pnas.org/content/112/35/11114
- Sara Malm and Lucy Osborne, “Mobile phone companies can predict futur movements of users by building a profile of their lifestyle,” Daily Mail.com, August 19, 2012 http://www.dailymail.co.uk/sciencetech/article-2190531/Mobile-phone-companies-predict-future-movements-users-building-profile-lifestyle.html
- “Mastering the complexity of mobile with simplicity: 2015 Adobe Mobile Consumer Report,” Adobe, November 2015 http://landing.adobe.com/en/na/solutions/experience-manager/188465-mobile-consumer-study.html
- Sally Andrews, David A. Ellis, Heather Shaw, Lukasz Piwek, “Beyond Self-Report: Tools to Compare Estimated and Real-World Smartphone Use,” PLOS One, October 28, 2015 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139004
- Lisa Eadicicco, “Americans check their phones 8 billion times a day,” Time, December 15, 2015 http://time.com/4147614/smartphone-usage-us-2015/
- Matt Asay, “Taking the leap toward mobile-first marketing,” Adobe Digital Marketing Blog, June 14, 2016.“ https://www.comscore.com/Insights/Presentations-and-Whitepapers/2016/The-2016-US-Mobile-App-Report
- The Enterprise App Explosion: Scaling One to 100 Mobile Apps,” Gartner, May 7, 2015 https://www.gartner.com/doc/3047818/enterprise-app-explosion-scaling-mobile
- The 2016 U.S. Mobile App Report,” comScore, September 13, 2016. https://www.comscore.com/Insights/Presentations-and-Whitepapers/2016/The-2016-US-Mobile-App-Report
- Patrick Monk, “Which Mobile Marketing Metric Should Marketers Track?” Singular Blog, November 26, 2015. https://medium.com/@madmork/which-mobile-marketing-metric-should-marketers-track-4bfede3bd00a
- David Bolton, “The Average App Loses More Than 75% of Its Users After One Day,” Arc from Applause, May 20, 2016. https://arc.applause.com/2016/05/20/app-retention-rates-2016/