Programmatic has become an essential part of the digital marketing mix thanks to its capacities of optimization, measurement and result analysis. However, enormous amounts of data from campaigns remain untapped. With Emerge!, Gamned!’s expert team helps advertisers make sense of all their media data in order to extract all the business intelligence and insights needed in the management of their activity.
According to a recent study, data-driven approaches can reduce costs by 30% and increase revenue by 20%. With this in mind, Gamned! offers advertisers the opportunity to base their assumptions on data and identify business opportunities. Emerge! is based on a consolidated analysis of useful signals produced by internet users during media activations in order to have an accurate analysis of the profiles, behaviours and engagement of internet users.
Is my acquisition cost the same in Singapore as in Jakarta? Are sales of a given product weather sensitive? What type of message does my audience respond to best? So many questions that Emerged! will be able to answer to help advertisers refine their media plans and marketing strategies overall.
Emerged! redefines trading expertise and reflects a global market evolution towards more consulting but also more importance in the global brand strategy. This offer confirms Gamned’s status on the market as a trendsetter and introduces a useful and innovative proposition value. A dedicated team has been set up to provide advertisers with deep support. Emerge! team is comprised of experts in data science, trading and customer relations.
“We realize how the valuable insights analysed by our experts after running a campaign can help our clients reach their target more effectively. Gamned! has a real role to play in strategic recommendation and in the identification of new business opportunities for advertisers.” says Anthony Spinasse, co-founder of Gamned!
Reference:
20%: Hub Institute
On parle de smart retargeting lorsque l'on personnalise et que l'on adapte sa stratégie de reciblage selon l'implication des visiteurs et leur niveau dans le parcours d'achat.
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