Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →borghei/campaign-analytics
Analyzes campaign performance with multi-touch attribution, funnel conversion, and ROI calculation for marketing optimization
Passed 15 of 20 test cases with the skill, and 6 of 20 without it.
and 8 more in the full report
10 fixed7 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to evaluate our multi-touch marketing journeys in `journeys.json` using a time-decay attribution model with a 14-day half-life to match our 30-day B2B consideration cycle. What is the precise CLI command?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the CLI invocation python scripts/attribution_analyzer.py journeys.json --model time-decay --half-life 14 | Missed | Passed |
The instructions your model reads when the skill loads.
Production-grade campaign performance analysis with multi-touch attribution modeling, funnel conversion analysis, and ROI calculation. Three Python CLI tools provide deterministic, repeatable analytics using standard library only -- no external dependencies, no API calls, no ML models.
All scripts accept a JSON file as positional input argument. See assets/sample_campaign_data.json for complete examples.
{
"journeys": [
{
test cases passed, vs 6 / 20 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.