Structured Oversight for Automated Media

Enough that every automated decision still answers to your commercial goals. New AI features in search and paid social are adopted where performance signals justify them, and expanded gradually rather than switched on across the whole account at once. People set the budgets, efficiency targets and acceptable variance, and the platform works within them. You can then explain and adjust what the account is doing at any time. More detail in our assessment of Performance Max.

Yes, within clear boundaries. Smart bidding works well when it optimises toward meaningful outcomes, but left unmanaged it can inflate costs, chase low-value conversions and drift away from profit. We set guardrails around budget allocation, target efficiency and acceptable variance, and monitor how the algorithm behaves. Automation handles execution, while strategic decisions stay with experienced consultants.

Algorithm drift is a gradual decline in performance as automated bidding and targeting move away from what the business needs. It often follows weak conversion data, inflated conversion reporting or market changes the system adapts to without anyone noticing. We watch for rising costs, volatility and shifts in where spend is going, so drift is caught early. Settings, signals and structure are then adjusted methodically rather than reset in a hurry.

The closer the signal is to real revenue, the better the algorithm learns. We strengthen conversion tracking and pass offline conversions and revenue data back to the platforms, so bidding optimises toward sales and qualified pipeline rather than clicks or form fills. For businesses with a sales team, this usually means connecting CRM outcomes, so campaigns learn which leads became customers.

Automated campaigns count whatever they are told to count, so duplicate tracking, soft conversions or view-through credit can make results look stronger than they are. The algorithm then learns from that inflated picture and spends accordingly. Part of our governance work is tightening conversion definitions and checking reported numbers against actual revenue. Automation is then steered by outcomes the business recognises.