Leads & Sales

Sales Pipeline

In short

The sales pipeline shows all of a company's open sales opportunities with their value and current stage, from qualified lead to closed deal.

Also known as: sales-pipeline, deal pipeline

The sales pipeline is the overview of all open sales opportunities (deals) with their value and the stage they are currently in. It's the main steering tool for sales and is usually shown in the CRM as a kanban board with one column per stage.

Typical stages

  1. Qualified lead (SQL)
  2. First call held
  3. Proposal sent
  4. Negotiation
  5. Won or lost

Each stage has a typical close probability that you can derive from your historical data.

Weighted pipeline value

Weighted pipeline value = Σ (deal value × close probability of the stage)

Example

An agency has 10 deals worth $5,000 each in the stage "proposal sent" (40% probability) and 4 deals worth $8,000 each in "negotiation" (70%).

Weighted pipeline value = $50,000 × 0.4 + $32,000 × 0.7 = $42,400

Sales pipeline and marketing

In lead generation, weeks or months often pass between the click and the sale. If you only wait for closed deals, you react too late. The pipeline is a leading indicator: if a campaign pushes lots of deals into late stages, it's probably profitable, even if the revenue hasn't been booked yet.

Through the HubSpot integration, LeadMetrics pulls in deal stages over time and attributes each deal to the campaign the lead came from. You can send won and lost deals to Meta, Google Ads, TikTok and LinkedIn via the Conversion API. Close is connected natively too, other systems via webhooks, Zapier or Make.

Common mistakes

  • Stale deals: Deals that have been stuck in one stage for months inflate pipeline value.
  • Vague stages: If "proposal sent" means something different to everyone, forecasts are useless.
  • No source on the deal: Without a link to the campaign, you don't know which marketing is filling the pipeline.

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Frequently asked questions

The sum of the values of all open deals. It is often weighted by the close probability of each stage to get a realistic revenue forecast.

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