Agent ReporterA clear next step. The reasoning behind it.

Part of Atlas AI. Each campaign review starts from your goals and cost limits. Agent Reporter connects predicted value, recent performance and earlier decisions to a recommendation to scale, hold or slow.

Example finding: Brand search has room for a measured increase. Predicted 180-day ROAS is 3.4× against a 2.5× goal. Acquisition cost is $72 against an $80 limit. The previous review was Hold. Your team approves or flags the recommendation. Nothing changes in an ad account.

What every finding carries.

  1. 01

    The finding

    A plain statement of what changed and what it suggests.

    Brand search. Room for a measured increase.

  2. 02

    Your goals and limits

    Each campaign is judged against the targets your team set.

    pROAS 3.4× against a 2.5× goal. Acquisition cost $72 against an $80 limit.

  3. 03

    The evidence

    Who the customers are by predicted value, and how the trend has moved over recent weeks.

    Middle and higher value groups make up 66% of these customers.

  4. 04

    History and limits

    Earlier reviews and decisions stay attached, with what could change the picture.

    Previous review: Hold. Brand demand is finite; a larger increase may not convert at the same cost.

  5. 05

    Your team’s decision

    Approve, question or set aside. The decision and its reason become part of the next review.

    Team · Approved. Move budget in line. Review in 7 days.

More time for judgment.

Reviews start with the evidence already gathered, so the team spends its time deciding.

Up to 6×

Faster campaign review

Observed in campaign review workflows.

Outcomes vary by team and setup.
2 to 3 hours

Saved per day, per team member

Observed in acquisition team use.

Outcomes vary by team and setup.

Which campaign deserves a closer look?

Bring one weekly review and the goals your team works to. We will show what a finding looks like on your data.