According to Gartner, in 2016, 41% of marketers used analytics tools to track mobile audiences. Two years later, the firm designated cross-device analytics as one of six technologies that marketing professionals should closely monitor…
With mobile apps becoming a part of everyday life for smartphone and tablet users, there’s a large opportunity for businesses to engage their customers and drive more revenue, whether via in-app purchases or via mobile app ad revenue.
L’Équipe is the leading daily sport newspaper in France. Across all its platforms combined (websites, mobile sites, and mobile apps), it sees 1.5 billion pageviews per month (figures from 2016).
Web traffic and mobile traffic have swapped places – in other words, 52.7% traffic now comes from mobile (according to a 2016 study from relatia). What are businesses in the press, banking and hospitality industries making of this trend? What mobile analytics strategies have they adopted?
Groupe La Poste has multiple public service missions in France: distributing mail 6 days a week across the entire French territory, contributing to town and country planning, transporting and distributing press, and providing accessible banking services to all.
On the heels of our latest benchmark studies on the UK’s top “Shopping” apps and the leading FinTech apps in the US, we’ve published a new benchmark report on the leading e-commerce mobile apps in the United States.
Following our previous benchmark report on the top banking apps in the UK, we’ve released a new benchmark report on the top mobile applications in the UK’s ecommerce and shopping sector, in partnership with Decode Apps, a specialist in mobile application benchmarking and monitoring.
It’s important to understand the specific behaviours generated by mobile usage and contexts, notably by taking a “task-centric” approach, which focuses on individual tasks accomplished on a mobile device.
Today, we’re highlighting six major trends in mobile (like m-commerce, in-app advertising, mobile UX, and ASO, just to name a few). These specific aspects of mobile apps and the mobile web should definitely influence how you approach your analytics, and how you use your data.
When using your phone to browse online, what’s worse: being confronted with an impossibly slow-loading site when you need a quick answer? Or tapping to click an element on a mobile site, only to have it jump because your page has not fully loaded, so you end up clicking on something else?