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Your Pipedrive sales dashboard, traced to every deal.

Pipeline, win rate, booked revenue, and quota coverage modeled from your Pipedrive Deals, Deal Stage Movements, and Activities, so the forecast you commit to traces back to the deal records your reps are working.

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

What’s in a pipedrive sales dashboard?

A sales dashboard built on Pipedrive is the single governed view of how your revenue engine is running: open pipeline from deal stages, win rate computed from won and lost deals, booked revenue from closed-won deal values, and coverage derived from open pipeline against quota. It's modeled from Pipedrive Deals, Stages, and Users in your warehouse, so the pipeline number on the screen is the pipeline number your reps see in Pipedrive.

Pipedrive's built-in Insights cap out at canned reports that don't let you define pipeline or win rate exactly the way your team counts them. When deal stage, win rate, and coverage live in one definition modeled from Pipedrive Deals and Stage Movements, the forecast and the pipeline review use the same number, and you catch a slipping quarter from coverage instead of from a missed month.

Who it’s forRevOps leads, sales ops, and founders who run their pipeline in Pipedrive and own the forecast.

CadenceRefreshed daily; reviewed in the weekly pipeline review and at quarter-end forecast.

Built fromPipedrive

§ 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
Show me our Pipedrive pipeline: open deals, win rate, booked revenue, and whether we're covered against quota, tied back to the deal records.
✦ Fi
Here's your pipedrive sales dashboard, on your Pipedrive data.
Here’s what’s in it

The top row leads with the 4 numbers that matter most: Open pipeline, Booked revenue, Win rate, Pipeline coverage. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (Booked revenue over time, New pipeline by owner) show how the headline numbers have moved over time. A breakdown (New pipeline by stage) splits the metric by dimension so you can see what's driving the total. A detail table (Win rate, deal size & cycle) 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

$8.87M▼ 12.4%
Data ▾
PeriodOpen Pipeline
Jan$6.31M
Feb$6.44M
Mar$7.12M
Apr$7.14M
May$7.62M
Jun$7.97M
Jul$8.77M
Aug$8.39M
Sep$8.81M
Oct$8.19M
Nov$10.13M
Dec$8.87M

Booked revenue

$1.47M▲ 43.1%
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$705K
Feb$642K
Mar$716K
Apr$805K
May$972K
Jun$1.01M
Jul$1.15M
Aug$946K
Sep$1.04M
Oct$974K
Nov$1.03M
Dec$1.47M

Win rate

54.8%▼ 9.6%
Data ▾
PeriodWin Rate
Jan53.7%
Feb48.4%
Mar51.6%
Apr50.7%
May47.6%
Jun42.2%
Jul51.9%
Aug56.5%
Sep46.4%
Oct57.9%
Nov60.7%
Dec54.8%

Pipeline coverage

7.2×▼ 15.8%
Data ▾
PeriodPipeline Coverage
Jan7.9×
Feb7.7×
Mar8.2×
Apr7.9×
May8.1×
Jun8.2×
Jul8.7×
Aug8.0×
Sep8.0×
Oct7.2×
Nov8.6×
Dec7.2×

Booked revenue over time

600,000 800,000 1,000,000 1,200,000 1,400,000 1,600,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$705K
Feb$642K
Mar$716K
Apr$805K
May$972K
Jun$1.01M
Jul$1.15M
Aug$946K
Sep$1.04M
Oct$974K
Nov$1.03M
Dec$1.47M

New pipeline by stage

Discovery Evaluation Proposal Negotiation 200,000 400,000 600,000 800,000 1,000,000 1,200,000
Data ▾
StageNew Pipeline
Discovery$1.21M
Evaluation$762K
Proposal$628K
Negotiation$1.11M

New pipeline by owner

1,800,000 2,100,000 2,400,000 2,700,000 3,000,000 3,300,000 3,600,000 3,900,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodNew Pipeline
Jan$2.28M
Feb$2.20M
Mar$2.44M
Apr$1.94M
May$2.40M
Jun$2.09M
Jul$2.24M
Aug$2.75M
Sep$3.02M
Oct$2.57M
Nov$2.87M
Dec$3.72M

Win rate, deal size & cycle

Win Rate54.8%▼ 9.6%
Avg Deal Size$15K▲ 61.9%
Avg Sales Cycle (days)39▼ 12.5%
✦ Fi
Anything else I can do for you?
You
Why did win rate drop last month across our Pipedrive deals?Which deal owner is carrying coverage, and which is short of quota?Show me the Pipedrive deals behind the pipeline that slipped in March.What's booked revenue if the current win rate holds through quarter end?Break pipeline out by Pipedrive stage instead of owner.Trace this month's booked revenue back to the won deals in Pipedrive.Break win rate out by deal owner and flag anyone under 20%.Show coverage against next quarter's quota using only Pipedrive deals with an expected close date in that range.Add average sales cycle from Pipedrive deal create-to-close and split it by deal value tier.
  • Why did win rate drop last month across our Pipedrive deals?
  • Which deal owner is carrying coverage, and which is short of quota?
  • Show me the Pipedrive deals behind the pipeline that slipped in March.
  • What's booked revenue if the current win rate holds through quarter end?
  • Break pipeline out by Pipedrive stage instead of owner.
  • Trace this month's booked revenue back to the won deals in Pipedrive.
  • Break win rate out by deal owner and flag anyone under 20%.
  • Show coverage against next quarter's quota using only Pipedrive deals with an expected close date in that range.
  • Add average sales cycle from Pipedrive deal create-to-close and split it by deal value tier.
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.

Pipedrive
◆ DealOpen PipelineBooked Revenue (Closed Won)Win RatePipeline CoverageNew PipelineAvg Deal SizeAvg Sales Cycle (days)
◆ 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)Pipedrive
Pipeline CoverageThe early-warning gauge on the forecast: how many times your open pipeline covers the quota you have to hit.Open Pipeline ÷ QuotaPipedrive
Avg Deal SizeBooked revenue per closed-won deal, the lever between volume and value.Booked Revenue (Closed Won) ÷ Won DealsPipedrive
§ Then do something about it

Have our agent watch for you

A pipedrive sales 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.

Agents for this stack
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 pipedrive sales 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 Pipedrive counts a deal at a different moment than your team's definition. Pipedrive's deal reports default to expected close date while your pipeline review may count by stage entry date; booked revenue in Pipedrive includes deals your finance team hasn't recognized yet. The reconciliation map above shows which Pipedrive object each metric comes from, so there's one definition of pipeline and win rate modeled in your warehouse instead of re-derived from a Pipedrive export.
Pipedrive as the system of record for Deals, Organizations, Persons, Stages, and Activities. Definite syncs Pipedrive, models the deal pipeline into governed metrics, and ties booked revenue and coverage back to the deal records that produced them. You don't stand up a separate warehouse, because Definite is the warehouse.
It's a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. Win rate comes from won and lost deals, coverage from open pipeline over quota, each computed by the formula in the metric table, not pasted in. Connect Pipedrive and Fi builds the same view from your deals.
Tell Fi what you need, the way the prompt above reads. Fi models the metrics on your connected Pipedrive, and you refine by asking follow-ups. No SQL or BI license required, which is the point when RevOps is the entire data team.
Yes. If your team also tracks deals in Salesforce or HubSpot, or revenue in Stripe, Definite models all sources into the same pipeline and win-rate definitions. The dashboard resolves to one number regardless of how many CRMs feed it.

Your answer engine
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