Building Your First Sales Pipeline
A sales pipeline is a visual map of every deal your team is working — from first conversation to closed-won. Here's how to define stages, set probabilities, and design a pipeline that reflects how your team actually sells.
- A sales pipeline is a sequence of stages that represent your sales process from first contact to closed deal.
- Each stage should have a clear definition, probability percentage, and exit criteria.
- 5-7 stages is the sweet spot — fewer is too vague, more creates data entry friction.
- Weighted pipeline value (deal value × stage probability) is the foundation of revenue forecasting.
What Is a Sales Pipeline?
A sales pipeline is a structured view of every deal your team is working on, organized by where each deal is in your sales process. Think of it as a kanban board for revenue — each column is a stage, and deals move left to right as they progress.
Unlike a sales funnel (which measures conversion rates), a pipeline focuses on individual deals — what stage they’re in, how long they’ve been there, and what needs to happen to move them forward.
Recommended Pipeline Stages
Here’s a proven starting point for B2B SaaS and professional services teams. Customize to match your process:
| Stage | Probability | Exit Criteria | What Happens Here |
|---|---|---|---|
| Prospecting | 10% | Meeting scheduled | Research, outreach, first conversation |
| Discovery | 20% | Pain and requirements confirmed | Understand needs, timeline, budget |
| Proposal | 40% | Proposal delivered and reviewed | Custom solution, pricing, terms |
| Negotiation | 60% | Final objections addressed | Pricing negotiation, legal review, references |
| Commitment | 80% | Verbal yes, contract sent | Contract signing, procurement process |
| Closed Won | 100% | — | Deal signed and revenue booked |
| Closed Lost | 0% | — | Deal did not close — log the reason |
Setting Stage Probabilities
Each stage has a probability — the likelihood that a deal at this stage will eventually close. This is the foundation of weighted pipeline forecasting:
Weighted pipeline value formula:
Deal Value × Stage Probability = Weighted Value
Example: $100K deal in Proposal (40%) → $40K weighted pipeline value
Start with the suggested percentages above, then calibrate based on your actual historical win rates at each stage. After 6 months of data, your probabilities should reflect reality, not guesses.
Common Pipeline Mistakes
| Mistake | Fix |
|---|---|
| Too many stages (10+) | Consolidate to 5-7. If reps skip stages, you have too many. |
| No exit criteria | Define what must happen before a deal can advance. |
| Stale deals sitting in pipeline | Set aging alerts. If a deal hasn't moved in 30 days, check it. |
| Equal probabilities (all 50%) | Calibrate from real close rates. Early stages should be < 30%. |
| No closed-lost tracking | Always log why deals are lost. This is gold for improving your process. |
crmzero supports up to 10 configurable pipelines (funnels) on Pro plans, each with custom stages, probabilities, and drag-and-drop deal boards. Define your stages once, set probabilities, and your weighted pipeline forecast builds automatically.
The free tier includes 1 pipeline with unlimited deals — enough for most teams getting started.
Frequently Asked Questions
What is a sales pipeline?
A sales pipeline is a visual representation of your sales process, showing every active deal organized by stage. Each stage represents a step in your selling process, from initial contact to closed deal.
How many pipeline stages should I have?
5-7 stages is the sweet spot for most B2B teams. Fewer than 5 and stages are too vague for meaningful analysis. More than 7 and reps start skipping stages or creating friction in the process.
What is weighted pipeline value?
Weighted pipeline value is the sum of all deal values multiplied by their stage probability. A $100K deal in the Proposal stage (40%) contributes $40K to weighted pipeline. It's the foundation of revenue forecasting.
What's the difference between a pipeline and a funnel?
A pipeline tracks individual deals through stages. A funnel measures aggregate conversion rates between stages. Pipelines are for managing deals; funnels are for analyzing process efficiency.
Should different products have different pipelines?
If the sales process is materially different (e.g., self-serve vs. enterprise), use separate pipelines. If the process is the same but the product differs, use one pipeline with a product field on the deal.