The role of a media buyer has changed significantly in the last few years, and with that comes a new title: Algorithm Managers.
An automated campaign can still demand daily attention from a media buyer. Knowing which settings to change, what to feed the system and when to leave it alone has become central to the job. It also means testing new AI features and reverting back to old ways of working if they don’t provide value.
As algorithm managers we set campaigns up right the first time, ensure it's fed the right signals to enhance optimization, and decide when to change budgets, bids, inventory or creative based on data. Across all digital channels the approach is the same, but the algorithms are unique to each platform making deep channel expertise critical. Across channels responsibility is shared: manage the systems to serve the media plan and drive the right outcome within target.
Here are the five keys to success for this role:
1. Set up for success
Algorithm management starts before launch. The objective, audience, budget, bid strategy and inventory restrictions need to work together. A campaign built to maximize video views has a different assignment from one optimizing toward sales.
Buyers need to understand the platform’s requirements and whether the setup can generate enough activity to support optimization. A narrow audience, fragmented budget or unrealistic bid target can constrain delivery. The job is to identify those conflicts early and establish workable conditions.
2. Manage the signals
For campaigns using conversion signals, buyers need a working knowledge of server-to-server events: the customer actions sent directly from business systems to advertising platforms. That includes knowing which events feed bidding, what values they carry and whether they arrive accurately and promptly.
Meta’s Conversions API guidance identifies event coverage, matching, deduplication and data freshness as areas requiring ongoing attention. Buyers should work with analytics and engineering to verify those inputs, investigate errors and ensure browser and server events are not counted twice.
If a campaign optimizes toward form submissions while the business needs qualified leads, the buyer should assess whether qualified-lead events can be returned accurately, reliably and at sufficient volume. Choosing and maintaining that feedback is part of media management.
3. Protect learning
Over-optimization can mean changing conditions before the system has enough evidence to respond. Repeated adjustments to budgets, targets, audiences and creative also make it harder to tell what caused the next result.
Google recommends allowing 1–2 conversion cycles before assessing Search Smart Bidding target changes. That is a platform-specific evaluation window, not a universal rule for every campaign. Buyers should establish review windows based on the system, available volume and reporting delays.
Continuity matters, too. Favor consistent delivery when the campaign’s purpose and economics support it, and avoid unnecessary stop-start activity. Google identifies reactivated bid strategies as one reason for a learning status. Necessary pauses still happen; plan for them and assess delivery after restarting.
Not every adjustment erases learning, and leaving a learning phase does not guarantee success. The discipline is to make purposeful changes and give their effects time to become measurable.
4. Feed creative development
Creative gives the algorithm options. Buyers need to participate in briefing, explain which messages and formats are working, and identify what the campaign has not meaningfully tested.
That requires more than requesting variations of the same ad. Brief distinct propositions, demonstrations, hooks and formats that give the system different ways to engage people. Build a creative pipeline so fresh assets are ready before fatigue forces a rushed replacement.
Plan introductions around campaign needs and the platform’s behavior. Document what changed so the next round of results can inform both optimization and the next brief.
5. Diagnose and intervene
Monitoring should lead to a diagnosis. When spend slows, investigate restrictive bids, audience limits, disapprovals or signal problems. When frequency rises and response falls, examine saturation and creative fatigue. Check conversion lag before treating recent acquisition results as final.
Stay current on platform updates, then verify their effect on the account. Make a targeted adjustment, record the reason and define what improvement should look like. Fix broken tracking promptly; give inconclusive results an appropriate observation window.
At Supergood, we believe this is where media expertise earns its value. Clients should understand how we are improving the algorithm’s inputs, protecting its ability to learn and deciding when to intervene. Fewer manual controls make the judgment behind each decision more consequential.