Which sequence describes the typical campaign optimization loop?

• A. Set goals, implement changes, measure, and stop
• B. Record data, delete data, start over
• C. Set goals, collect data for compliance, publish report
• D. Set goals, run tests, monitor metrics, make adjustments, and repeat

Answer: (D)

The sequence is an iterative, data-driven optimization loop. You start by setting clear goals to define what success looks like. Then you run tests to learn what actually influences those goals. By monitoring the right metrics, you see whether the changes are moving you toward or away from your targets. Based on what the data show, you make adjustments and then repeat the process. This ongoing cycle drives continual improvement of the campaign.

Why the other patterns don’t fit: a single pass that stops after implementing changes misses the core idea of ongoing optimization; discarding and restarting data undermines learning and accuracy; and focusing on compliance data collection and reporting shifts toward documentation rather than actively improving performance.