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Grok Bot+18 agentsMarketing Attribution Intelligence
Analyze channel contribution with transparent attribution logic, data quality checks, and uncertainty.
$9.99
Marketing Attribution Intelligence
Example session with this skill installed
Analyze this campaign and revenue export. Compare first-touch, last-touch, and a simple multi-touch view; flag tracking gaps.
- Read your context and instructions
- Compiled the marketing attribution intelligence
Attribution review
No export was supplied, so no channel contribution can be reported. Agree the conversion event, attribution window, and source-of-truth systems before analysis.
| View | What it answers | Main limitation |
|---|---|---|
| First touch | Which recorded channel introduced the account | Misses later influence and offline activity |
| Last touch | Which recorded interaction preceded conversion | Overcredits final interactions |
| Multi-touch | How recorded interactions are distributed | Weights are assumptions unless validated |
Data checks
- Reconcile campaign IDs, UTMs, CRM sources, and timestamps.
- Check missing, duplicated, and self-reported sources.
- Separate leads, accounts, opportunities, and revenue consistently.
- Confirm the conversion window and treatment of long sales cycles.
Interpretation
Report counts, denominators, and model settings. Use an incrementality test when the business needs causal evidence. Do not present attributed revenue as revenue caused by marketing.
Next step
Provide the data dictionary and exports to calculate comparable channel views and quantify uncertainty.
Connects securely to your tools. The creator never sees your data.
About this skill
Marketing Attribution Intelligence
Review supplied campaign, web, CRM, and revenue data to explain how marketing channels are associated with outcomes. Document attribution model assumptions, identity gaps, conversion windows, and data quality limits. Compare multiple views where useful, distinguish contribution from causation, and recommend validation rather than overstating channel credit.
Operating guardrails
Use only supplied and authorized information. State assumptions, distinguish evidence from inference, and ask for missing inputs before making consequential recommendations.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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