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Your Salesforce sales dashboard, tied to every deal.

Pipeline, win rate, booked revenue, and quota coverage modeled from your Salesforce Deals, Companies, Leads, and Activities, so the forecast you commit to ties back to the opportunities your reps are working.

See how to build one in Definite

What’s in a salesforce sales dashboard?

A Salesforce sales dashboard is the governed view of how the revenue engine is running, modeled directly from Salesforce Deals, Companies, and Activities: how much pipeline is open, what share of deals you win, booked revenue from closed-won opportunities, and whether open pipeline covers quota. Because the metrics are modeled from Salesforce objects in your warehouse, the pipeline number on the screen is the pipeline number your reps see in Salesforce.

Salesforce reports let you count pipeline a dozen ways — by close date, by stage entry, by forecast category — and every export produces a slightly different number. When pipeline, win rate, and coverage are modeled from your Salesforce Deals in one definition, 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 pipeline reviews from Salesforce.

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

Built fromSalesforce

§ 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 Salesforce pipeline: open pipeline, win rate, and whether we're covered against quota, tied back to the deals and stages in Salesforce.

✦ Fi

Here's your salesforce sales dashboard, on your Salesforce 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

$9.11M▼ 6.1%

Data ▾

Period	Open Pipeline
Jan	$6.55M
Feb	$6.95M
Mar	$6.50M
Apr	$8.12M
May	$7.94M
Jun	$7.41M
Jul	$8.22M
Aug	$7.78M
Sep	$8.75M
Oct	$8.77M
Nov	$9.70M
Dec	$9.11M

Booked revenue

$1.18M▲ 3.2%

Data ▾

Period	Booked Revenue (Closed Won)
Jan	$742K
Feb	$893K
Mar	$747K
Apr	$757K
May	$1.07M
Jun	$877K
Jul	$820K
Aug	$842K
Sep	$1.22M
Oct	$1.16M
Nov	$1.14M
Dec	$1.18M

Win rate

57.4%▼ 7.8%

Data ▾

Period	Win Rate
Jan	37.9%
Feb	43.2%
Mar	52.8%
Apr	43.4%
May	46.7%
Jun	48.4%
Jul	52.1%
Aug	48.0%
Sep	55.4%
Oct	58.9%
Nov	62.2%
Dec	57.4%

Pipeline coverage

7.4×▼ 9.7%

Data ▾

Period	Pipeline Coverage
Jan	8.2×
Feb	8.3×
Mar	7.5×
Apr	9.0×
May	8.5×
Jun	7.6×
Jul	8.1×
Aug	7.4×
Sep	8.0×
Oct	7.7×
Nov	8.2×
Dec	7.4×

Booked revenue over time

Data ▾

Period	Booked Revenue (Closed Won)
Jan	$742K
Feb	$893K
Mar	$747K
Apr	$757K
May	$1.07M
Jun	$877K
Jul	$820K
Aug	$842K
Sep	$1.22M
Oct	$1.16M
Nov	$1.14M
Dec	$1.18M

New pipeline by stage

Data ▾

Stage	New Pipeline
Discovery	$879K
Evaluation	$621K
Proposal	$422K
Negotiation	$828K

New pipeline by owner

Data ▾

Period	New Pipeline
Jan	$2.08M
Feb	$2.14M
Mar	$2.01M
Apr	$2.39M
May	$2.56M
Jun	$2.69M
Jul	$2.65M
Aug	$3.00M
Sep	$3.43M
Oct	$3.10M
Nov	$3.17M
Dec	$2.75M

Win rate, deal size & cycle

Win Rate57.4%▼ 7.8%

Avg Deal Size$11K▲ 6.0%

Avg Sales Cycle (days)38▲ 0.3%

✦ Fi

Anything else I can do for you?

You

Why did win rate drop last month across our Salesforce deals?Which rep is carrying coverage, and which is short of quota?Show me the Salesforce opportunities behind the pipeline that slipped in March.What's booked revenue if the current win rate holds through quarter end?Break pipeline out by Salesforce stage instead of owner.Trace this month's booked revenue back to the closed-won opportunities in Salesforce.Break win rate out by Salesforce opportunity owner and flag anyone under 20%.Show me coverage against quota for next quarter using Salesforce forecast categories.Add average sales cycle by deal size, pulled from Salesforce stage change history.

Schedule a demo →Start this conversation with your data →

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 PipelineBooked Revenue (Closed Won)Win RatePipeline CoverageNew PipelineAvg Deal SizeAvg Sales Cycle (days)

◆ ActivityAvg Sales Cycle (days)

Metric	What it measures	How it's calculated	Sources
Win Rate	The 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
Pipeline Coverage	The early-warning gauge on the forecast: how many times your open pipeline covers the quota you have to hit.	Open Pipeline ÷ Quota	Salesforce
Avg Deal Size	Booked revenue per closed-won deal, the lever between volume and value.	Booked Revenue (Closed Won) ÷ Won Deals	Salesforce

§ Then do something about it

Have our agent watch for you

A salesforce 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.

See how autonomous agents work →

Agents for this stack

Salesforce agent →

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.

CRM15

Microsoft Dynamics Business Central

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

§ Get started

Build your salesforce sales dashboard

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

Sign up

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

Create your account →

Connect your sources

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

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.

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

Salesforce reports pipeline differently depending on the report type: opportunity reports count by close date, forecast reports use forecast category, and list views show whatever filter the rep last saved. Definite models pipeline from the Deal object in your warehouse with one definition of stage, amount, and close date, so the number here and the number in your pipeline review are the same.

Salesforce as the system of record for Deals, Companies, Leads, Contacts, and Activities. Definite syncs Salesforce, models the deal pipeline into governed metrics, and ties booked revenue and coverage back to the opportunities 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 Salesforce 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 Salesforce, and you refine by asking follow-ups. No SQL, no BI license, no Salesforce admin building report types — which is the point when RevOps is the entire data team.

Yes. Definite syncs Activities, Tasks, and Events from Salesforce alongside Deals, so you can layer activity volume onto pipeline metrics — for example, seeing whether deals that stall also have fewer logged calls.