Sales Pipeline

A sales pipeline is a staged model of every open opportunity a sales team is working, organized by the stage each deal occupies as it moves from first qualified conversation toward a close. It represents open revenue in motion, and it is the base unit every revenue forecast is built on. Before a team can predict what it will close, it needs a structured view of what is currently live and where each deal sits.

Each opportunity in the pipeline carries a few core attributes: an amount, a stage, a close date, and an owner. Stack those opportunities by stage and you get the pipeline, a snapshot of committed selling effort and the revenue attached to it.

The stages of a sales pipeline

Stages describe how far a deal has progressed toward a decision. Most B2B SaaS teams run five to seven stages. A common structure:

1. Qualified. The opportunity meets basic fit and intent criteria and enters the pipeline. 2. Discovery. The rep confirms the problem, the buying process, and the economic buyer. 3. Proposal. Pricing and scope are on the table. 4. Negotiation. Terms, procurement, and legal are in motion. 5. Closed. The deal is won or lost and leaves the open pipeline.

Each stage carries a historical conversion probability, which is what makes a pipeline forecastable rather than a list of hopes. A negotiation-stage deal closes far more often than a discovery-stage deal of the same value.

Why the pipeline is the base unit of forecasting

Every forecasting method starts with the pipeline. Weighted pipeline multiplies each deal's amount by its stage probability. Pipeline coverage compares total pipeline value against the target. Both read directly off the same staged structure. Get the pipeline wrong, through stale deals or inflated amounts, and every metric downstream inherits the error.

This is also why pipeline hygiene matters. ORM finds that more than 10% of the average pipeline is stale, untouched for 12 months, and counts a change in stage, close date, or amount as the meaningful activity on a deal. Deals without that activity distort the picture.

Pipeline is not the forecast

A full pipeline can still miss. ORM's position is that pipeline coverage is a useful input but never the conclusion. A team can hold 4x coverage and fall short if the pipeline sits in the wrong stage, depends on a few large deals, or rests on close dates that keep slipping.

The timing gap is larger than most teams assume. Measured on the first day of a quarter, only about 20% of the value dated to close in that quarter actually closes inside it. The other 80% does not. A forecast that reads only the visible pipeline misses most of what will determine the number.

The pipeline tells you what you can see. A real forecast also models what will be created and closed inside the quarter, and what might be pulled forward from later periods. The pipeline is where forecasting starts, not where it ends.