Managing paid advertising for several clients can become complicated pretty quickly. Each account has its own campaigns, audiences, creatives, budgets, reporting requirements, and performance targets.

For smaller teams, a lot of time can end up going toward repetitive tasks such as checking campaign performance, preparing reports, duplicating campaigns, monitoring budgets, and switching between different client accounts.

This is where automation and AI are becoming interesting for agency workflows.

<h2>What Should Agencies Automate?</h2>
Some tasks seem particularly suited to automation:

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Monitoring campaign performance

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Applying budget or performance rules

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Generating and testing creative variations

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Managing multiple ad accounts

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Preparing client reports

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Identifying underperforming campaigns

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Scaling campaigns based on predefined targets

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The challenge is finding a balance between automation and human oversight. Agencies still need strategists and media buyers to understand the client, evaluate the data, and make decisions.

I've also been looking into facebook ads ai for Agencies as an example of how AI and automation can be incorporated into multi-client advertising workflows.

The interesting part is the agency-specific approach: keeping client accounts separated while bringing campaign management, reporting, automation, and AI-assisted workflows into one operating environment.

<h2>What Would You Automate First?</h2>
For agencies managing multiple Facebook or Meta ad accounts, which repetitive task would you automate first?

Would it be reporting, campaign creation, performance monitoring, creative generation, budget management, or something else?

I'm curious how other marketers are handling this as their number of client accounts grows.