Campaign Performance Agent
Identifies the top and bottom performing campaigns across every channel and source, and posts the report to Slack.
A campaign report ranks spend by clicks and cost-per-lead. This agent ranks every campaign by the pipeline it actually created and posts the winners to cut toward and the laggards to kill, to Slack each morning.
What it does
Most campaign reporting stops at top-of-funnel vanity metrics in a BI tab someone checks weekly. The Campaign Performance Agent ranks campaigns across every channel by pipeline and conversion on the context layer, not clicks, flags the winners to double down on and the laggards to cut, and posts a digest to Slack daily, so the team acts on what is creating revenue instead of what is creating clicks.
- Ranks campaigns by pipeline and conversion
- Flags the winners to double down and the laggards to cut
- Posts a digest to Slack each day
Runs under Safe Autonomy. Every move is proposed, approved on your terms, committed, and reversible in one click.
How it works
Trigger to committed action. Every step is logged, and the final write is reversible.
- 1Trigger
The daily performance window closes
On a daily cadence, the agent pulls the latest campaign, channel, and pipeline data from the context layer, with every touch tied through to the opportunities it influenced.
- 2Step 01
Rank by pipeline, not clicks
The agent scores every active campaign on pipeline created and conversion rate through the funnel, so a high-click campaign that produces no pipeline drops below a quieter one that produces deals.
- 3Step 02
Separate winners from laggards
It identifies the campaigns worth doubling down on and the ones bleeding budget without return, with the pipeline and conversion numbers that justify each call.
- 4Step 03
Attach the attribution
For each ranked campaign it includes the supporting attribution, which opportunities and stages it touched, so the read is defensible and the next move is obvious.
- 5Commit
Digest posted to Slack
The agent posts the ranked digest with winners, laggards, and attribution to the team's Slack each day. The digest is a read-only surface; any budget action it implies stays with the human.
In practice
A marketing manager opens a BI dashboard once a week and sorts campaigns by cost-per-lead. The cheapest-per-lead campaign looks like the winner, so budget keeps flowing to it. Nobody traces that those cheap leads never become pipeline, while a pricier campaign quietly drives most of the closed revenue.
The agent ranked every campaign by pipeline created, surfaced that the cheap-CPL campaign produced almost no opportunities while the pricier one drove the quarter's pipeline, and posted both with attribution to Slack that morning.
The team sees daily which campaigns actually make pipeline instead of which make cheap clicks, and shifts budget toward revenue instead of toward a vanity metric.
On this kind of pipeline-true read, Agent.ai cut Google spend roughly 10x by reallocating away from campaigns that looked cheap but produced nothing.
More Demand Gen & Marketing agents
Put the Campaign Performance Agent to work
It ships on the stack you already own and starts proposing moves the week it goes live. You approve the first few. It earns the longer leash from there.