CUSTOM AI AGENTS · Marketing & community
Campaign analystas part of your team.
Normalize metrics. Compare periods. Flag changes and possible causes.
Explore this agent for my team ↗01 · THE WORK, STEP BY STEP
How the task moves forward.
We connect briefs, sources and brand guidelines to give content a consistent foundation. Your team receives drafts and proposals with review context.
- 01
Normalize metrics
Reviews definitions and attribution windows before comparing campaigns.
- 02
Compare periods
Checks performance against goals and avoids incompatible period comparisons.
- 03
Flag changes and possible causes
Flags relevant changes and separates observations from unverified explanations.
02 · ILLUSTRATIVE EXAMPLE
A situation that may feel familiar.
A shop compares campaigns by margin and returns as well as sales.
Illustrative scenario, not a customer case study or measured results.
Read the brief and retain the team’s conditions.
Check the available campaign figures with named metrics.
September Campaign
| Metric | Value |
|---|---|
| Impressions | 12.400 |
| Clicks | 386 |
| CTR | 3,11 % |
Validate the CTR and flag the data still needed for decisions.
Report verification
| Checks | Result |
|---|---|
| CTR = 386 / 12.400 × 100 | 3,11 % |
| Cost and conversions | Not yet added |
| Breakdown by ad | Not yet added |
| Comparison with previous period | Data not available |
Prepare conclusions limited to what the data supports.
September summary
What we know
12,400 impressions and 386 clicks, with a CTR of 3.11%.
Before deciding
Add spend and conversions per ad and the comparison period. These aggregate figures cannot identify which ad to keep.
Summarize the result, where it is saved and what is still pending.
03 · YOUR WAY OF WORKING
Fits the business you already have.
Context and tools
We start with your current documents, systems and channels. We assess feasible connections and define the permissions required for this specific task.
Improves with your feedback
Approved corrections are incorporated into instructions, examples or knowledge sources. We review changes before expanding the agent’s scope.
A clear way to evaluate
We agree on a representative sample and measure review time, errors, exceptions and output quality against the current workflow. Feasibility is decided using that evidence.
04 · COMMON QUESTIONS
Before getting started.
What information does this agent need?
Campaign data, conversions and agreed goals. We review quality, currency and access before connecting the workflow. You do not need to replace all your tools to begin.
What will my team receive?
Campaign report with reviewable hypotheses and recommendations. We agree on the format and delivery channel during setup, together with cases that need review.
Which decisions remain with people?
Publishing and brand claims follow the editorial workflow we agree together.
Can it coordinate with other agents?
Yes. We define what this agent hands to the next one and who handles exceptions. It can interact through Slack, WhatsApp, email or Microsoft Teams, depending on the integration and permissions we configure.
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How would this fit your business?
Tell us how you do it today. We will define the scope, tools and controls with you.