More and more agencies and brands are relying on machine learning these days to analyze mountains of data and provide insights they can use to better inform advertising campaigns. Using ML, artificial intelligence tools can recognize patterns in data gleaned from existing campaigns to see how ads are impacting customer engagement, purchase intent and conversion rates.
Rather than guess at what approach will work best to reach target audiences, brands can generate predictive models using ML and AI to identify optimal creative, content, placements and more to boost the effectiveness, accuracy and efficiency of their ad campaigns. Here, eight members of Forbes Agency Council explore the best ways to streamline ad creation and refine marketing strategies by leveraging ML ad tools.
1. Be Granular And Downstream With Your Data Inputs
Machine learning is still only as good as the data fed into it. The more granular and downstream the data you put into them, the more accurate these tools can be. Work to tie back signals indicating higher-revenue, closed customers or higher-scored leads to their sources—that will ensure the machine learning starts making audience, creative and ad decisions that are truly the best for your business. - Brian Walker, Statwax
Continue reading: https://www.forbes.com/sites/forbesagencycouncil/2021/12/20/eight-effective-ways-to-leverage-machine-learning-ad-tools/?sh=3ef44059619d
Rather than guess at what approach will work best to reach target audiences, brands can generate predictive models using ML and AI to identify optimal creative, content, placements and more to boost the effectiveness, accuracy and efficiency of their ad campaigns. Here, eight members of Forbes Agency Council explore the best ways to streamline ad creation and refine marketing strategies by leveraging ML ad tools.
1. Be Granular And Downstream With Your Data Inputs
Machine learning is still only as good as the data fed into it. The more granular and downstream the data you put into them, the more accurate these tools can be. Work to tie back signals indicating higher-revenue, closed customers or higher-scored leads to their sources—that will ensure the machine learning starts making audience, creative and ad decisions that are truly the best for your business. - Brian Walker, Statwax
Continue reading: https://www.forbes.com/sites/forbesagencycouncil/2021/12/20/eight-effective-ways-to-leverage-machine-learning-ad-tools/?sh=3ef44059619d
