Sales pipeline
A sales pipeline is a visual, stage-by-stage representation of every open deal and where it sits in your sales process — from first qualified opportunity through stages like discovery, proposal and negotiation to closed-won or closed-lost. It shows what is in play, its value, and what has to happen next to advance each deal.
How it works
Deals move through defined stages, each with entry/exit criteria. Reps update stage, value and expected close date; the pipeline aggregates these into a forecast and highlights stuck or aging deals that need action.
Why it matters
Without a pipeline, forecasting is guesswork and deals stall unnoticed. A well-maintained pipeline makes revenue predictable, surfaces bottlenecks by stage, and gives managers a coaching surface — which deals are stuck and why.
How do you define stage exit criteria that reps apply the same way?
Write each exit as something that happened with the buyer, not an activity by the rep. "Sent a proposal" is an activity; "Buyer confirmed pricing is within budget" is a buyer event. Buyer-based exits make stages comparable across reps, because two people looking at the same deal will put it in the same stage.
Keep the stage count small enough to remember, often five to seven, and put the exit rule in the stage description inside the CRM so reps see it when they move a deal. Sales pipeline stages explained has example definitions.
Closed-lost deserves a definition too. Many pipelines have clear rules for moving forward and none for leaving, so dead deals stay open for months and inflate every total. A simple rule helps: a deal with no buyer response for a set period, such as 30 days after a proposal, moves to closed-lost with a reason, and can be reopened if the buyer comes back.
How much pipeline do you need to hit a target?
Work backwards from your own win rate. Say the quarterly target is Rs 30 lakh, the average deal is Rs 1.5 lakh and your win rate on qualified opportunities is 25%. You need 20 wins, which means about 80 qualified opportunities entering the pipeline in time to close this quarter. That is a coverage ratio of four times the target.
Use your measured win rate rather than a rule of thumb, and account for timing: opportunities created in the last two weeks of a quarter rarely close in the same quarter. How to build a sales pipeline from scratch covers generating the volume.
What does a weekly pipeline review actually check?
Three things per deal: is the next step dated and with the buyer, has the deal moved since last week, and does the close date still make sense. Deals that fail two of the three are either at risk or dead, and the review should decide which. Reviewing every deal every week takes too long past about 30 deals, so many teams review only deals that changed stage, slipped their close date or have no next step.
Age in stage is the quickest filter. A deal that has sat in "Proposal" for three times your average proposal duration is unlikely to close on its current date. The sales forecasting entry explains why that matters for the forecast.
How does the Autocloz pipeline board work?
Deals sit on a drag-and-drop board with custom stages, values and the full activity history from every channel, and the board is included in the free CRM. Reports on stage conversion and win rate read from the same stages, as described on the deals CRM page.
How Autocloz handles it
Autocloz ships a drag-and-drop pipeline/deals board in the free CRM, with stages, deal values and activity history, so the whole team sees every open opportunity and its next step in one place.
Free tools for this
No signup required — they run in your browser.
FAQ
What is the difference between a sales pipeline and a sales funnel?
A pipeline is the seller's view — the specific stages a deal moves through in your process. A funnel is the broader conversion view — the shrinking volume of prospects from awareness to purchase. They describe the same journey from different angles.
How many stages should a pipeline have?
Enough to reflect real decision points, usually four to seven. Each stage needs clear entry/exit criteria so a deal's stage is objective. Too many stages create busywork; too few hide where deals actually stall.
Related terms
A CRM (Customer Relationship Management) system is software that stores and organizes your contacts, companies, deals and interactions in one place, so a team can manage relationships and a sales pipeline. Modern CRMs also automate follow-up, reporting and, increasingly, AI-assisted outreach.
Lead enrichment is the process of automatically adding missing data to a lead or company record — job title, company size, industry, verified email, phone, LinkedIn, technographics — from third-party data sources, so reps can segment, personalize and prioritize without manual research.
An Ideal Customer Profile (ICP) is a description of the company that gets the most value from your product and is easiest to win and retain — defined by firmographics like industry, company size, revenue, geography and technology stack. It targets accounts (the company), distinct from a buyer persona, which describes the individual within the account.
Lead scoring is the practice of assigning a numeric value to each lead based on how well they fit your ideal customer profile (demographic/firmographic fit) and how engaged they are (behavioral signals like email opens, site visits, demo requests). The score ranks leads so sales works the hottest ones first.