Paid Media Predictions 2024 | Will AI Take my Job?

This week, our Co-Founder & CEO, Zoe, is joined by our Paid Media & Strategy teams to reveal essential insights on localisation strategies for global brands.

This week, the team talks about some crazy updates that our Meta rep shared with us, which will change the way we approach paid social campaigns and performance creative.

This week, the team is talking about the latest AI advancements and how we utilise them as a marketing agency to save time & improve our output. On top of that, the team discusses how AI will change marketing roles soon and how professionals need to upskill to keep their jobs safe.

In today's episode of Have You Herd, Jakub, Joey and Lauren, from our Paid Media department, talk about the recent Marketing Mix Modelling announcement Google did, as well as what's to come for the performance marketing industry. 🚀 They discuss what 'marketing mix modelling' is, how long it's been around and how it could help tackle some of the current tracking issues, due to cookies being sunsetted, consent modes and data privacy settings. 👀

In today's episode of Have You Herd, Joey & Jakub, from our Paid Media department, sit down with Moe, our Meta rep, to talk about the top 5 tests we're running to boost our ad performance on Instagram and Facebook. 🚀 They discuss what ASC (Advantage+ Shopping Campaign) is, why Meta is investing so much in automation, as well as our testing and learning experience as an agency of the different tests Meta recommended for 2024. 📝

Do you want to increase your Google Ads ROAS? Listen to Joey & Jakub talk about the best bidding strategies as well as best practices on how to structure your Performance Max campaigns to increase performance.

Do you want to increase your brand's revenue? Listen to Joey & Adam discuss how AI-powered Advanced Shopping Campaigns on Meta can help you boost your sales by reaching the right audiences on social.

How to properly attribute your revenue to your marketing activities? Listen to Joey & Jack talk about why you shouldn't stick to one attribution model or window and instead use three different layers to see the big picture.