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PipelineMay 9, 2026

Understanding the Pipeline Funnel

The Pipeline funnel is a visual summary that shows how many leads are in each stage — and where they're dropping off.

Reading the Funnel

The funnel appears at the top of the Pipeline page. It shows:

  • Total leads per stage (as a bar or wedge)
  • Conversion rate between stages (e.g. 60% of "Contacted" leads move to "Meeting Scheduled")
  • Average time in each stage

The funnel narrows as leads drop off — that's normal. The goal is to identify where the biggest drop-offs happen and fix them.

Common Drop-Off Points

New Lead → Contacted (low conversion) You're not reaching out fast enough. Leads go cold in 48–72 hours. Speed to contact is the #1 factor.

Contacted → Meeting Scheduled (low conversion) Your outreach isn't compelling enough. Review your pitch — is it personalized? Does it show you've done research on their business?

Proposal Sent → Negotiation (low conversion) Your pricing or scope isn't landing. Consider offering tiered packages or a smaller starter engagement.

Negotiation → Closed Won (low conversion) You're losing on the close. Common reasons: price objection, they went with a cheaper competitor, decision fatigue (too many back-and-forth emails).

Using Funnel Data to Improve

  1. Identify the stage with the biggest drop-off
  2. Look at the leads that dropped — is there a pattern?
  3. Adjust your approach for that stage
  4. Monitor the funnel next month to see if the conversion rate improves

Dashboard Metrics

The Pipeline section on your dashboard overview shows:

  • Total leads in pipeline
  • Leads by stage
  • Conversion rate (New Lead to Closed Won)
  • Average deal cycle (days from New Lead to Closed Won)

Tips

  • Check the funnel monthly — Weekly is too frequent to see trends. Monthly gives you enough data.
  • Compare month-over-month — Is your Contacted → Meeting rate going up? If so, your pitch is improving.
  • Share with your team — The funnel is a great coaching tool. If one team member has a 40% meeting rate and another has 15%, the data makes it easy to identify who needs support.