dvcrn Creator Attribution Lite
Skill Card
- Category: Measurement
- Core problem: Which content actions actually move outcomes?
- Best for: Small-team performance review
- Expected input: Content list + campaign metadata + simple outcome fields
- Expected output: Lightweight attribution view + insight notes
- Creatop handoff: Feed winning patterns back to Creatop templates
What this does
Show which content likely moved business outcomes, not just vanity metrics.
Workflow
1) Validate data availability
Minimum fields per content item:
- content ID + date + platform
- views/watch metric
- click metric
- downstream metric (lead/signup/sale/GMV)
If real data is missing, run simulation mode and label outputs clearly as demo/synthetic.
2) Map funnel stage
Classify each content item as:
- awareness
- consideration
- conversion
3) Compute lightweight impact score
Use transparent weighted components:
- engagement quality
- click intent
- conversion signal
Explain formula and normalization assumptions.
4) Output action decisions
Return:
- ranked performers
- pause/optimize list
- next 3 content bets with rationale
- confidence note (sample size/data quality)
Quality rules
- Keep model explainable and auditable.
- Avoid fake precision on tiny samples.
- Do not overclaim causality; treat as directional evidence.
License
Copyright (c) 2026 Razestar.
This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.
Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.