attribution models
Attribution Primer for Marketing Ops
Rebuild channel credit with guardrails, not guesses—hands-on cohort for ops teams modernizing measurement in Korea.
Description
This cohort walks through decision-grade attribution: defining conversion windows, stitching sessions ethically, and documenting assumptions your leadership can audit. You bring messy exports; we model tradeoffs between rules-based and data-driven allocations without overpromising precision.
What is included
- Live teardown of three common spreadsheet models
- Template pack for channel definitions and UTM hygiene
- Office hours on consent-aware tagging boundaries
- Readout framework for leadership in plain language
- Sandbox scripts for comparing last-click vs. position-based
- Checklist for vendor claims vs. your data reality
- Peer review of one live stack (masking sensitive fields)
Outcomes
- Publish a one-page measurement charter your team signs
- Ship a prioritized backlog of tagging fixes
- Deliver a credibly scoped attribution readout
Cohort FAQ
We coach your engineers or agency with copy-ready snippets. Direct production access is not included; that keeps liability clear and timelines honest.
You will leave with a documented approach and pilot plan. Organization-wide accuracy still depends on data quality, consent policies, and model governance—we surface limits early.
No managed media buying, no legal review of contracts, and no SLA on model uptime—those sit outside a training engagement.
Experience notes
“The live teardown of our spreadsheet doubled as therapy. I finally had vocabulary to push back on a vendor deck that promised full-funnel truth from three pixels.”
“Dense but fair. I wanted more time on probabilistic models—which the syllabus labels as a follow-on track—still the charter template is already circulating with finance.”