Reference

Event Intelligence Glossary

Plain-language definitions for the operating, capacity, portfolio, and executive-proof terms used across Build the Year.

Answer

How to use this glossary

Use these definitions to keep event planning, finance, and agency teams aligned. Each term links to a practical guide that shows how the concept changes a portfolio decision.

3P Framework

The 3P Framework is Build the Year’s operating model for People, Portfolio, and Pipeline. People is the capacity foundation, Portfolio is the event-mix strategy, and Pipeline is the business proof.

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Attribution Type

Attribution Type describes how a deal relates to an event: sourced, influenced, or accelerated. The label makes the relationship explicit instead of hiding it inside one pipeline total.

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Data Confidence

Data Confidence is the quality state attached to a governed metric: synced, estimated, or not connected. It tells the reader how much trust to place in the number.

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Event Operating Layer

An event operating layer sits above execution tools and connects event capacity planning, portfolio governance, attribution, and executive reporting. It helps corporate teams and agencies manage the year as one portfolio.

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Fully-Loaded Cost

Fully-Loaded Cost combines direct event spend with the valued capacity hours required to deliver the event. It prevents ROI reports from treating team effort as free.

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Pipeline Influence

Pipeline Influence is pipeline value credited to an event through linked opportunities and an explicit attribution policy.

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Portfolio Yield

Portfolio Yield is pipeline generated per capacity hour across the event portfolio. It is the portfolio north star for comparing event mix and scarce team investment.

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Tier

A Tier is the effort level assigned to an event. Tier 1 represents the highest delivery effort and should reflect complexity, role demand, and lead time rather than budget alone.

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True ROI

True ROI is pipeline influenced divided by fully-loaded cost. A defensible True ROI result also shows its attribution policy, data confidence, and provenance.

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