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B2B SaaS Sales Pipeline Template

Built around the two things that actually decide a SaaS deal: whether the product got used, and whether procurement will let it through.

Stages
7 stages
Typical cycle
30 to 90 days for mid-market, 4 to 9 months for enterprise
Typical deal size
$6K to $120K annual contract value
Who it is for
Account executives and founder-led sales teams selling a subscription product with a demo, a trial or pilot, and some form of security or procurement review before signature.

The stages

Each stage states what is true about a deal sitting in it, and the one testable thing that has to happen before it moves. If the exit criterion is not met, the deal does not advance, whatever the rep believes.

1

Qualified Lead

10% probability3 to 7 days

The account matches your ICP on size, market and tech stack, and a real named person has responded to you. Nothing about their timing or budget is known yet.

Exit criteria

A named contact has described a specific problem in their own words and a discovery call is booked in the calendar with a date, not a promise to find time.

2

Discovery

20% probability5 to 10 days

You are on a call establishing what they do today, what it costs them, and who has to say yes. The product has barely been shown.

Exit criteria

You have documented the tool or process being replaced, the metric they want to move with a current number attached, and the names and titles of everyone who signs off.

3

Demo and Solution Fit

35% probability7 to 14 days

The product has been shown against their actual workflow, not a canned dataset. The champion is engaged and pulling colleagues in.

Exit criteria

The prospect has confirmed the demoed workflow matches how their team works, and at least one stakeholder beyond your champion attended a session.

4

Trial or Pilot

50% probability14 to 30 days

They are in the product with their own data. This is the stage where deals are really won or lost, and the one most teams fail to instrument.

Exit criteria

The pilot has a written success metric, a start and end date, and at least three named users who have logged in more than once in the last seven days.

5

Business Case and Pricing

65% probability7 to 21 days

The champion is selling internally. You are supplying the numbers, the plan comparison and the answers to the objections you will never hear directly.

Exit criteria

The prospect has confirmed the budget owner by name, a budget range you can work inside, and a target go-live date.

6

Procurement and Security Review

85% probability10 to 45 days

Commercial terms are broadly agreed and the deal is now in the hands of people who did not attend any of your calls: legal, security, finance.

Exit criteria

The security questionnaire is returned, DPA and MSA red-lines are resolved, and the contract sits with the named signer with a date they intend to sign.

7

Closed Won

100% probabilitySame day

Signed. The only thing left is making sure the handover does not undo the momentum the pilot created.

Exit criteria

Countersigned contract received, first invoice issued, and a kickoff call booked within ten business days of signature.

Fields worth tracking

Stages tell you where a deal is. These fields tell you whether it is any good. Add them as custom fields on the pipeline, and make the ones that gate a stage required.

Tool being replaced

The single best predictor of whether a SaaS deal closes. Replacing a paid incumbent means budget already exists. Replacing a spreadsheet means you are also selling the category.

Pilot success metric

A free text field forces the rep to write down what the pilot has to prove. Pilots without one drift into free usage and quietly expire.

Security review required (yes / no)

Deals that need one take three to six weeks longer. Without this field your forecast dates are guesses and your quarter looks better than it is.

Seats and plan tier

Lets you separate expansion potential from initial contract value, and stops the team pricing every deal from scratch.

Economic buyer

Not the champion. The person whose budget it comes out of. If this field is empty past the demo stage, the deal is not qualified.

Automations worth building

A pipeline that only stores data is a spreadsheet with a nicer view. These are the three workflows that make this pipeline maintain itself.

1
Pilot instrumentation on stage change

When a deal moves to Trial or Pilot, auto-create the tasks for day 1 setup, day 7 usage check and day 21 results review, assign them to the AE, and start a check-in sequence to the champion. If the success metric field is empty, block the stage change.

2
Stall detection by stage

Every stage has a healthy time-in-stage. Run a workflow that flags any deal sitting past that window, drops it into an at-risk view, and notifies the owner and their manager. Discovery deals get 10 days, procurement gets 45.

3
Security review date shift

When the security review field flips to yes, automatically push the expected close date out by 21 days and attach your standard security pack to the record so the rep is not hunting for it.

Common mistakes with this pipeline

Demoing before you know who signs

The demo is the most expensive thing you do and the easiest to give away. Running it before the economic buyer is named produces a pipeline full of enthusiastic champions with no budget, which is how forecast accuracy dies.

Pilots with no exit criteria

A pilot without a written success metric and an end date is not a sales stage, it is a free account. Deals sit there for months because nobody agreed what a pass looks like, and the champion has nothing to take to their boss.

Letting reps set probability by feel

If probability is editable per deal, it stops meaning anything and your weighted forecast becomes a mood ring. Fix the probability to the stage, and let stage movement be the only way the number changes.

Build this pipeline in Dalil in minutes

Create the stages, add the custom fields, set the probabilities, and switch on the stall alerts and follow-up sequences that go with them. One Sales OS instead of a CRM plus four other tools.