Top digital marketing data and case studies this week


Here are the top digital marketing data and case studies that caught our eye.

Ad-blockers 'more likely to buy digital content'

Last week, Adblock Plus partnered online donation startup Flattr to let users donate to their favourite online publishers and content creators. New research suggests this is a shred move, as web savvy adblockers are also some of the internet's biggest customers.


Mobile sport trends: Euro 2016 to be a “second-screen-fest”

With exactly one month to go until England and Wales' opening matches at Euro 2016, new research reveals the huge degree to which people will be second-screening during matches to enhance their experience of the tournament.



Mobile app revenues slowing down for first time – IDC

The global mobile app market is forecast to slow, with Apple’s App Store still ahead of rival Google Play despite an 8% drop, according to new research.


Morning commute “best time for retailers to reach consumers by email”

Over four fifths (83%) of consumers read emails from retailers during the morning commute on their mobiles, making it the best time to reach them, according to new research.



Social content case study: Sport Chek swaps newspaper for Facebook ads

For two weeks, Sport Chek replaced its trusty paper circulars with Facebook ads. "The results of this test," says Duncan Fulton of Sport Chek, "blew our minds. This case study looks at the secret behind the publication’s success.

Video case study: Remarketing pays off for Three’s #makeitright YouTube campaign

Three, with their puppet hero Jackson, wanted to raise awareness of the #makeitright campaign and their brand. Using Google Preferred, TrueView and the very latest techniques in remarketing they achieved "mind-blowing" results that lifted brand metrics, including ad recall and brand search interest.

Twitter case study: BillBachao boosts app downloads in India

BillBachao is an India-based company that helps people find the most suitable mobile plans for their needs. Through studying user’s usage patterns and applying big data analytics, the app aims to save money for 70%+ of people in India who overpay for their telecom services.


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