Demand Waterfall
Demand Waterfall is a staged demand-generation model that maps how raw leads progress through qualification into pipeline and closed revenue, with conversion rates measured at each stage.
Also known as: demand generation waterfall, SiriusDecisions waterfall, lead waterfall
Demand Waterfall is a staged model that maps how raw leads progress through qualification into pipeline and closed revenue, with conversion rates measured at each stage. Originally developed by SiriusDecisions (now part of Forrester), it gives sales and marketing a shared model and a shared vocabulary for the demand-generation process. The model has evolved over time to account for inbound and outbound demand types and account-based motions where buying groups, not individual leads, progress through the stages.
What Demand Waterfall Means
A Demand Waterfall is a stage-based representation of the full demand-to-revenue path, with conversion rates measured between each stage. A classic Waterfall runs from inquiries, to marketing-qualified leads (MQLs), to sales-accepted leads (SALs), to sales-qualified leads (SQLs), and finally to closed-won deals. Each stage has a defined entry point and a measured conversion rate, so teams can see where leads are lost, forecast how much top-of-funnel volume is needed to hit a revenue goal, and pinpoint the stage that most limits results. Updated versions, including the current Demand Unit Waterfall, add branches for inbound versus outbound demand and for account-based buying groups.
How Demand Waterfall Works
A Demand Waterfall works by tying conversion rates at each stage to a measurable revenue outcome, so teams can work backward from a revenue target to compute the top-of-funnel volume required. Divide the target by average deal value to get the number of wins needed, then divide by conversion rates at each stage to compute SQLs, MQLs, and inquiries required. The math gives marketing a defensible top-of-funnel goal tied directly to the sales number, not pulled from intuition. The model also enables stage-by-stage diagnostics: when conversion drops at a specific point, the team can focus improvement effort precisely there rather than spreading attention across the whole funnel.
Common Pitfalls and Misconceptions
The model has evolved over time, including versions that account for inbound and outbound demand types and account-based motions where buying groups, not individual leads, progress through the stages. The core value is consistent: a shared, measurable definition of how demand converts into revenue, agreed by sales and marketing rather than imposed by one team on the other. A common mistake is treating the stages as activity counts without agreed entry definitions, so MQLs and SQLs mean different things to different teams. Another is optimizing top-of-funnel volume while ignoring weak conversion further down, which produces more leads without more revenue.
Demand Waterfall in Practice
The practitioner reality is that the Demand Waterfall is only as useful as its stage definitions. Teams that adopt the diagram but skip the hard conversation about what an MQL or SAL actually means end up with metrics that look rigorous but mean different things to different people. Mature programs review their stage definitions annually, validate them against win/loss data, and treat the Waterfall as a living agreement between functions rather than a slide in last year’s planning deck. The other discipline is segmenting the Waterfall by source, inbound, outbound, account-based, since blended conversion rates often hide a high-performing channel inside a weak one and obscure the actual improvement opportunities.
Common questions.
What are the stages of the demand waterfall?
Who created the demand waterfall?
Why is the demand waterfall useful?
What is a common mistake when using the demand waterfall?
Is the demand waterfall still relevant with account-based marketing?
How do you calculate volume needed from the waterfall?
What is the difference between the demand waterfall and a sales funnel?
Related Terms
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