Performance optimisation is one of the most useful situations where AI can be implemented. Algorithms are used to analyse how ads perform on different platforms and offer recommendations on how to improve their performance. The platforms may use AI to highlight performance issues you were not aware of, and in other cases, AI is used to automate actions you are aware can be improved.
As AI uses sophisticated data analysis to gather insights on optimisation, it can help save you time and money. By gauging what could be causing losses, AI can help you make changes to the advertising campaign and importantly, improve your return on investment (ROI)!
This tends to be the most common form of AI that helps us out here at Bluesoup. In PPC, AI can help with performance optimisation through programmatic advertising and automated tasks. AI helps to adjust and optimise search terms and budgets for real-time market conditions where it can offer suggestions on keyword bids based on user behaviour. With the goal in PPC generally being to drive highly qualified, cost-effective traffic, AI can help through algorithms and automation, potentially increasing ROI with its suggestions. However, the suggestions Google provide aren’t always beneficial to the campaign, which is where a PPC manager is needed to keep a close eye on things (but more about that later!).