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Reviewing actions before approval

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Key questions to ask

  • Does this align with my objectives? Verify the changes support your campaign goals
  • Are budget changes appropriate? Ensure spending modifications fit your constraints
  • Is timing right? Consider business cycles, seasonality, and other campaigns
  • Do I understand the risks? Review potential downsides and mitigation strategies

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What to look for

Which specific campaigns, ad sets, or creatives will be affected and how
How spending will change across campaigns and overall portfolio impact
What metrics should improve and realistic timeline for seeing results
When changes take effect and any dependencies between actions

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Approval best practices

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Review carefully

  • Read the full description of proposed changes
  • Verify Concord understood your request correctly
  • Check that actions respect your business constraints
  • Ask follow-up questions if anything is unclear

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Start conservative

  • Begin with smaller budget changes to build confidence
  • Test optimizations on less critical campaigns first
  • Monitor results closely after implementation
  • Scale successful strategies gradually

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When to reject actions

Reject platform actions if they exceed your risk tolerance, have unclear outcomes, or don’t align with business timing and objectives.
Common reasons to reject:
  • Budget changes too large for your comfort level
  • Timing conflicts with other business activities
  • Insufficient detail about expected outcomes
  • Actions don’t match what you actually requested

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After rejection

  • Explain your concerns to help Concord understand
  • Request alternative approaches or smaller test changes
  • Clarify your constraints and priorities
  • Explore different ways to achieve your goals

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Monitoring results

After approving actions:
  • Track implementation: Ensure changes are applied correctly in your DSPs
  • Monitor performance: Watch key metrics to validate expected improvements
  • Compare predictions: See how actual results match Concord projections
  • Document learnings: Capture insights for future optimization decisions

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Provide feedback

After implementation:
  • Track whether results match predictions
  • Share what worked well or didn’t meet expectations
  • Help Concord learn your preferences for future recommendations
Always review platform actions carefully, but don’t hesitate to approve actions that align with your goals and constraints. Concord learns from your decisions to provide better recommendations over time.