Pascal is a French digital marketing professional who is now based in Berlin. With over a decade of experience, he’s developed many skills across multiple performance channels, working both on the ...
Spotify and Netflix were 2024's top brands in creator marketing on social, while Fenty Hair and Cécred were the ...
MMM’s diverse applications — from budget to media optimization — make it a critical tool for proving and improving marketing performance. The post Unlocking the power of marketing mix modeling ...
Gen AI is a new and fast-moving technology. That leads to persistent misconceptions about what it can do—and what it needs to work successfully. Managers who buy into five key myths will be too slow ...
Many of the advertisers spending money in connected TV (CTV) are companies that are completely new to the world of TV advertising.
February is almost over, and Q2 is right around the corner. Set yourself up for future success by performing a marketing checkup — a review of your company’s marketing strategies and how they ...
A study published in the Journal of Marketing sheds light on the complex dynamics of authenticity in influencer marketing, revealing critical insights for brands, influencers, and marketing agencies.
For a generation plagued by short attention spans and hyper-awareness, Vogue Business and Snapchat investigate what ...
As AI evolves, its role in marketing will only grow. By embracing data-driven insights and AI-powered tools, marketers can unlock unprecedented levels of efficiency, creativity and ROI.
Compliant has experienced significant growth doubling clients and revenue in the last year, increasing brand website audits by 50%, and a 250% increase in data compliance impressions measured. Its ...
LinkedIn's new Conversions API and Revenue Attribution Report can help give marketers deeper insights and improved attribution accuracy.
With tighter budgets and multi-channel campaigns becoming the norm, accurate attribution modelling is critical for effective budget allocation. However, the traditional approach to attribution ...