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"Sourced vs. Influenced Pipeline: Definitions, Math, ...
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GTM Model Typical Sourced Pipeline Range Inbound-led (content, SEO, paid) 40-70% Outbound-led (SDR-heavy) 20-40% Product-led growth 25-50% (PLG conversions count as marketing-sourced) Partner/channel-led 15-30% (partner sourced is separate from marketing sourced) Hybrid (most mid-market) 30-55% “If you're running an inbound-led model and your sourced pipeline sits at 15%, something is broken: either in attribution data, in channel performance, or in how leads are being entered in the CRM.” Marketing-influenced pipeline benchmarks:
The Sourced/Influenced Distinction is a two-metric attribution framework that separates pipeline measurement into two purpose-built numbers: marketing-sourced pipeline (a budget allocation metric that answers "which channels generate net-new contacts we wouldn't otherwise have?") and marketing-influenced pipeline (a content ROI metric that answers "where in the buyer journey are marketing assets making a difference?"). The framework ends attribution conflicts by giving each metric a single, agreed use case, so neither team can use one number to answer a question only the other can answer. “attribution is the identification of touchpoints that contribute to a conversion, and assigning a value to each.” The Named Framework: The Sourced/Influenced Distinction
Trade show leads get logged as "other." Event leads are often high-quality, but sloppy CRM data entry loses them in "other" or "unknown" buckets. Fix: create a specific "event" or "trade show" source category and make it required at the event lead import step. “Fix: align on contact-level vs. account-level attribution before reporting, and document the rule.” How to audit and fix lead source data:
“Each answers a different question, so using one to settle the other is what starts the attribution fight.” The attribution meeting goes the same way every quarter. Marketing presents a number: 68% of pipeline was marketing-influenced. Sales presents a different number, maybe 15% of closed-won deals actually came from marketing. Leadership hears both, trusts neither, and the meeting ends with nothing resolved and a budget decision that could go either way.
The attribution meeting goes the same way every quarter. Marketing presents a number: 68% of pipeline was marketing-influenced. Sales presents a different number, maybe 15% of closed-won deals actually came from marketing. Leadership hears both, trusts neither, and the meeting ends with nothing resolved and a budget decision that could go either way. “They're using the same underlying CRM records and arriving at completely different answers because they're measuring different things and calling them by the same name.” Most B2B organizations fight the same attribution battle every quarter. Not because the data is wrong, but because the definitions were never jointly agreed on before the reports were built.
Neither team is manufacturing data. They're using the same underlying CRM records and arriving at completely different answers because they're measuring different things and calling them by the same name. “Not because the data is wrong, but because the definitions were never jointly agreed on before the reports were built.” The Sourced/Influenced Distinction is a two-metric attribution framework that separates pipeline measurement into two purpose-built numbers: marketing-sourced pipeline (a budget allocation metric that answers "which channels generate net-new contacts we wouldn't otherwise have?") and marketing-influenced pipeline (a content ROI metric that answers "where in the buyer journey are marketing assets making a difference?"). The framework ends attribution conflicts by giving each metric a single, agreed use case, so neither team can use one number to answer a question only the other can answer.
“Pipeline is the dollar value of open and won opportunities, and B2B teams measure it two ways: marketing-sourced pipeline (deals where marketing owned the first touch) and marketing-influenced pipeline (deals a marketing campaign touched along the way).” The attribution meeting goes the same way every quarter. Marketing presents a number: 68% of pipeline was marketing-influenced. Sales presents a different number, maybe 15% of closed-won deals actually came from marketing. Leadership hears both, trusts neither, and the meeting ends with nothing resolved and a budget decision that could go either way.
Marketing-sourced pipeline by GTM model: “Partner/channel-led 15-30% (partner sourced is separate from marketing sourced)” If you're running an inbound-led model and your sourced pipeline sits at 15%, something is broken: either in attribution data, in channel performance, or in how leads are being entered in the CRM.
The Pipeline Coverage Ratio “If marketing sources 40% of that, marketing needs to generate $3.2M in pipeline: not just MQLs, but pipeline-qualified opportunities.” This is the conversation that connects marketing to forecasting, and it's where Forecasting Together: Marketing Influence picks up. Pipeline coverage analysis uses the same math: total pipeline divided by quota, with sourced pipeline as the marketing-owned portion of that numerator.
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