Machine Learning Will Transform Creative Content Production Through Personalisation: Criteo
- Digitizing Marketing Communications for Personalization is Now Table Stakes – 34 % of advertisers and marketers are using digital technologies to personalize marketing communications.
- Digital Enables Automation of Creative Content Personalization - over 50%, of our sample uses digital technologies to automate the personalization of creative content in marketing communications and over 30% plan to use digital technologies to personalize creative content in the future.
- Familiarity with Machine-Learning Applications is High, but Usage is Low - 83% of the sample are familiar with machine-learning applications for communications personalization, only 14% are using it today. 33% of marketers are planning to invest in machine-learning technology for communications personalization, which suggests that latent demand is strong and the market willgrow significantly in the coming years.
- Machine Learning Delivers Applications Today, with More to Come by 2020 – 66% of respondents believe that machine-learning technologies for personalized headlines and advertising copy; personalized advertising design formats such as layout, color sets, and sizing; and personalized advertising creatives are deliverable today.
- Data-Driven Advertising Will Drive Customer Loyalty and Brand Relevance - Today, brands' advertising agenda is focused on generating customer loyalty (cited by 41%), gathering customer data (36%), and remaining a relevant brand that is at the top of consumers' minds (34%).
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