Every dashboard commission produces a reconciliation layer beneath the executive summary. Before building visuals, we populate a workbench grid that maps each channel to its credit rule, lookback window, and data source. Stakeholders review this grid in the week-three workshop before any chart is finalised.

Sample reconciliation grid — retail commission (anonymised)

Naver Search

34.2%
Last-click · 30-day window

Google Ads

21.8%
Last-click · 30-day window

Meta / Instagram

14.6%
Linear assist · 7-day view

Kakao

9.1%
Last-click · 14-day window

Email

7.4%
Linear · session-scoped

Print / Offline

8.3%
Code-mapped redemption

Display

3.2%
View-through · 1-day

Direct / Loyalty

1.4%
No prior digital touch

Uncategorised

0.0%
Target: always zero

Methodology layers

Each cell in the grid corresponds to a row in the methodology PDF delivered with the commission. That row specifies: data source export path, refresh frequency, credit model formula, known limitations, and the stakeholder who signed off on the rule.

The "Uncategorised" cell is deliberate. It should always read zero. Any non-zero value triggers an investigation before the dashboard is published — usually an unmapped campaign ID or a new channel missing from the ingestion pipeline.

Discovery workshop output

Before populating this grid, we run a half-day workshop with marketing and finance stakeholders. The workshop produces a signed decision matrix: which credit model governs budget allocation versus analyst drill-down. That document prevents the revision cycles that stall most attribution projects at week five.

Precision instruments and analytical charts representing attribution methodology

See this applied to your channels

Submit your channel list and we will outline how your reconciliation grid would be structured.

Request a scope outline

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