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Your sales funnel dashboard, every stage measured to close.

Open pipeline, stage conversion, win rate, sales cycle, and booked revenue in one view, modeled from the CRM, so every stage from qualification to close is measured the same way.

See how to build one in Definite
What’s in a sales funnel dashboard?

What’s in a sales funnel dashboard?

A sales funnel dashboard is the single governed view of how deals move from qualification to close: how many deals are at each stage, where they convert or stall, how fast they move, and how much revenue they produce. The version worth managing a team on is modeled from the CRM, so every stage conversion is a real number from real deals.

Sales managers track the funnel in CRM views with different filters, different stage definitions, and different date logic. When stage conversion, win rate, and velocity all come from one set of governed definitions modeled on Salesforce or HubSpot, the funnel review and the forecast use the same data.

Who it’s forRevOps leads, sales managers, and CROs who manage the sales process.

CadenceRefreshed daily; reviewed in the weekly pipeline review and during 1:1s with reps.

Built fromSalesforce, Hubspot, Pipedrive

§ How it works

Describe your dashboard. Fi builds it.

Fi is the AI agent inside Definite. Tell it what you’re trying to understand, and it connects your sources, defines the metrics, and builds the dashboard. One conversation, not a project.

You
I need to see the sales funnel: how deals move through stages, where they stall, win rate, sales cycle, and booked revenue, all tied to the CRM.
✦ Fi
Here's your sales funnel dashboard, on your Salesforce, Hubspot and Pipedrive data.
Here’s what’s in it

The top row leads with the 4 numbers that matter most: Open pipeline, Win rate, Avg sales cycle, Booked revenue. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (Pipeline by stage, Sales cycle trend) show how the headline numbers have moved over time. A breakdown (Won deals by segment) splits the metric by dimension so you can see what's driving the total. A detail table (Sales funnel health) rounds it out with the secondary metrics and their deltas. Every number is computed from the exact formulas shown in the metric table below. Composites are derived from their components, not pasted in, so the KPI tiles, breakdowns, and totals all reconcile to each other.

Illustrative data

Open pipeline

$8.98M▲ 1.9%
Data ▾
PeriodOpen Pipeline
Jan$5.86M
Feb$7.38M
Mar$6.79M
Apr$6.74M
May$7.02M
Jun$8.40M
Jul$8.79M
Aug$8.46M
Sep$8.52M
Oct$8.33M
Nov$8.82M
Dec$8.98M

Win rate

59.1%▼ 5.1%
Data ▾
PeriodWin Rate
Jan48.1%
Feb45.2%
Mar47.3%
Apr52.9%
May45.5%
Jun45.0%
Jul55.2%
Aug57.1%
Sep64.9%
Oct58.9%
Nov62.3%
Dec59.1%

Avg sales cycle

45 days▲ 3.3%
Data ▾
PeriodAvg Sales Cycle (days)
Jan47
Feb42
Mar43
Apr48
May42
Jun46
Jul46
Aug47
Sep41
Oct43
Nov44
Dec45

Booked revenue

$1.25M▲ 1.9%
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$789K
Feb$820K
Mar$655K
Apr$811K
May$980K
Jun$1.08M
Jul$1.17M
Aug$1.19M
Sep$1.38M
Oct$1.15M
Nov$1.22M
Dec$1.25M

Pipeline by stage

5,500,000 6,000,000 6,500,000 7,000,000 7,500,000 8,000,000 8,500,000 9,000,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodOpen Pipeline
Jan$5.86M
Feb$7.38M
Mar$6.79M
Apr$6.74M
May$7.02M
Jun$8.40M
Jul$8.79M
Aug$8.46M
Sep$8.52M
Oct$8.33M
Nov$8.82M
Dec$8.98M

Won deals by segment

Enterprise Mid-Market SMB 0 10 20 30 40 50 60
Data ▾
SegmentWon Deals
Enterprise47
Mid-Market57
SMB21

Sales cycle trend

41 42 43 44 45 46 47 48 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodAvg Sales Cycle (days)
Jan47
Feb42
Mar43
Apr48
May42
Jun46
Jul46
Aug47
Sep41
Oct43
Nov44
Dec45

Sales funnel health

Win Rate59.1%▼ 5.1%
Avg Deal Size$10K▼ 15.4%
SQL → Close Rate15.5%▲ 11.1%
✦ Fi
Anything else I can do for you?
You
Where are deals stalling in the funnel right now?Which rep has the longest sales cycle, and at which stage?Show me stage-over-stage conversion for the last quarter.What would booked revenue look like if we shortened the sales cycle by a week?Break win rate by segment instead of the team total.Trace this month's closed deals back through every stage they passed.Break stage conversion by rep to see who is stalling in qualification.Add a velocity metric by stage: average days in each stage.Show me win rate by segment and deal size.
  • Where are deals stalling in the funnel right now?
  • Which rep has the longest sales cycle, and at which stage?
  • Show me stage-over-stage conversion for the last quarter.
  • What would booked revenue look like if we shortened the sales cycle by a week?
  • Break win rate by segment instead of the team total.
  • Trace this month's closed deals back through every stage they passed.
  • Break stage conversion by rep to see who is stalling in qualification.
  • Add a velocity metric by stage: average days in each stage.
  • Show me win rate by segment and deal size.
First version in a dayFree to start, flat pricingNo infrastructure to set up
§ Why the numbers tie out

Every metric traces back to your systems

This is the part a BI tool can’t fake. Each metric is defined once, in your warehouse, from a specific object in a specific source. Change the definition in one place and every tile, report, and answer moves with it. So the number on the screen is the number in the source.

Salesforce
◆ DealOpen PipelineWin RateAvg Sales Cycle (days)Booked Revenue (Closed Won)Won DealsAvg Deal SizeSQL → Close Rate
◆ ActivityAvg Sales Cycle (days)
◆ LeadSQL → Close Rate
Hubspot
◆ DealOpen PipelineWin RateAvg Sales Cycle (days)Booked Revenue (Closed Won)Won DealsAvg Deal SizeSQL → Close Rate
Pipedrive
◆ DealOpen PipelineWin RateAvg Sales Cycle (days)Booked Revenue (Closed Won)Won DealsAvg Deal SizeSQL → Close Rate
◆ ActivityAvg Sales Cycle (days)
MetricWhat it measuresHow it's calculatedSources
Win RateThe cleanest read on sales effectiveness: the share of decided deals you win, won divided by won-plus-lost.Won Deals ÷ (Won Deals + Lost Deals)Salesforce, Hubspot, Pipedrive
Avg Deal SizeBooked revenue per closed-won deal, the lever between volume and value.Booked Revenue (Closed Won) ÷ Won DealsSalesforce, Hubspot, Pipedrive
SQL → Close Rate—Won Deals ÷ SQLsSalesforce, Hubspot, Pipedrive
§ Then do something about it

Have our agent watch for you

A sales funnel dashboard tells you what happened, and Fi tells you why. The last step is not having to remember to check. Point Definite at the one number you can’t afford to miss, and it watches that number for you off the same definitions as your dashboard. When it moves, you hear about it before the next review instead of during it. One metric, one action, always reversible.

Autonomous agent · watch churn
Watch
A metric you choose
net revenue churn
→
Judge
One condition
> 5% week-over-week
→
Act
One action
alert #revenue + open doc
◄──── then waits · cooldown 24h before it can act again ────
Scoped to a single metric and a single action. You arm it; you can disarm it anytime.
§ The data that powers it

Built from whatever you already run on

Connect the systems you already use. Any source of these types works, and you don’t move data into a warehouse, because Definite is the warehouse.

No warehouse to stand up or connect. See how the platform models your data →

§ Get started

Build your sales funnel dashboard

From signup to a working dashboard in one sitting. No data team required.

01

Sign up

Free to start. No credit card, no infrastructure to set up.

Create your account →
02

Connect your sources

Stripe, your CRM, accounting. Definite syncs and models them automatically.

03

Decide your metrics

Pick the numbers that matter or let Fi propose them from your data. Every metric gets one definition, governed in one place.

04

Ask Fi to build it

Describe what you need in plain language. Fi builds the dashboard, and you refine by asking follow-ups.

§ FAQ

Common questions

Usually because each CRM view uses different stage filters, date logic, and deal inclusion criteria. The reconciliation map above shows which CRM object each metric comes from, so there is one sales funnel with one set of stage definitions, modeled in your warehouse.
The pipeline dashboard focuses on pipeline health: coverage, new pipeline, and the forecast. The sales funnel dashboard focuses on conversion: how deals move through stages, where they stall, and how fast they close. Both use the same governed CRM data.
Your CRM (Salesforce, HubSpot, or Pipedrive) for deals, stages, activities, and outcomes. Definite syncs the CRM and models the funnel into governed metrics with consistent stage definitions.
It is a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. Win rate is computed from won and lost deals, sales cycle from deal stage timestamps. Connect your CRM and Fi builds the same view from your deals.
A dashboarding tool visualizes whatever CRM export you give it and inherits the filter inconsistency. This is the output of a governed sales model — stage definitions are modeled once, and every conversion from qualification to close traces back to the CRM. The difference matters when the forecast goes to the board.
Tell Fi what you need, the way the prompt above reads. Fi connects your CRM, proposes the sales funnel metrics, and you refine by asking follow-ups. No SQL, no analyst queue, no waiting for the weekly pipeline export.

Your answer engine
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