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Your HubSpot sales dashboard, tied to every deal.

Pipeline, win rate, booked revenue, and quota coverage modeled from your HubSpot Deals, Contacts, and Owners, 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 hubspot sales dashboard?

What’s in a hubspot sales dashboard?

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

HubSpot's built-in reporting caps out at canned views 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 HubSpot Deals and Owners, 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 HubSpot and own the forecast.

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

Built fromHubspot

§ 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 HubSpot pipeline: open deals, win rate, booked revenue, and whether we're covered against quota, tied back to the deal records.
✦ Fi
Here's your hubspot sales dashboard, on your Hubspot 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

$8.72M▼ 0.3%
Data ▾
PeriodOpen Pipeline
Jan$5.68M
Feb$5.85M
Mar$7.22M
Apr$7.45M
May$8.29M
Jun$8.69M
Jul$9.06M
Aug$9.03M
Sep$9.29M
Oct$9.72M
Nov$8.75M
Dec$8.72M

Booked revenue

$1.15M▼ 12.2%
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$686K
Feb$873K
Mar$823K
Apr$1.05M
May$1.10M
Jun$1.03M
Jul$1.06M
Aug$1.20M
Sep$1.19M
Oct$1.29M
Nov$1.32M
Dec$1.15M

Win rate

55.4%▲ 0.6%
Data ▾
PeriodWin Rate
Jan40.7%
Feb42.2%
Mar51.0%
Apr53.7%
May46.0%
Jun50.6%
Jul56.1%
Aug55.9%
Sep52.1%
Oct54.2%
Nov55.0%
Dec55.4%

Pipeline coverage

7.1×▼ 4.2%
Data ▾
PeriodPipeline Coverage
Jan7.1×
Feb7.0×
Mar8.3×
Apr8.3×
May8.9×
Jun8.9×
Jul9.0×
Aug8.6×
Sep8.5×
Oct8.5×
Nov7.4×
Dec7.1×

Booked revenue over time

600,000 700,000 800,000 900,000 1,000,000 1,100,000 1,200,000 1,300,000 1,400,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodBooked Revenue (Closed Won)
Jan$686K
Feb$873K
Mar$823K
Apr$1.05M
May$1.10M
Jun$1.03M
Jul$1.06M
Aug$1.20M
Sep$1.19M
Oct$1.29M
Nov$1.32M
Dec$1.15M

New pipeline by stage

Discovery Evaluation Proposal Negotiation 200,000 400,000 600,000 800,000 1,000,000
Data ▾
StageNew Pipeline
Discovery$612K
Evaluation$1.02M
Proposal$603K
Negotiation$691K

New pipeline by owner

1,800,000 2,000,000 2,200,000 2,400,000 2,600,000 2,800,000 3,000,000 3,200,000 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Data ▾
PeriodNew Pipeline
Jan$1.90M
Feb$1.88M
Mar$1.95M
Apr$2.34M
May$2.55M
Jun$2.99M
Jul$3.12M
Aug$2.69M
Sep$2.39M
Oct$3.10M
Nov$2.49M
Dec$2.93M

Win rate, deal size & cycle

Win Rate55.4%▲ 0.6%
Avg Deal Size$10K▼ 34.7%
Avg Sales Cycle (days)37▼ 15.8%
✦ Fi
Anything else I can do for you?
You
Why did win rate drop last month across our HubSpot deals?Which deal owner is carrying coverage, and which is short of quota?Show me the HubSpot 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 HubSpot deal stage instead of owner.Trace this month's booked revenue back to the closed-won deals in HubSpot.Break win rate out by deal owner and flag anyone under 20%.Show coverage against next quarter's quota using only deals in HubSpot with a close date in that range.Add average sales cycle from HubSpot deal create-to-close and split it by deal amount tier.
  • Why did win rate drop last month across our HubSpot deals?
  • Which deal owner is carrying coverage, and which is short of quota?
  • Show me the HubSpot 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 HubSpot deal stage instead of owner.
  • Trace this month's booked revenue back to the closed-won deals in HubSpot.
  • Break win rate out by deal owner and flag anyone under 20%.
  • Show coverage against next quarter's quota using only deals in HubSpot with a close date in that range.
  • Add average sales cycle from HubSpot deal create-to-close and split it by deal amount 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.

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

Have our agent watch for you

A hubspot 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 hubspot 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 HubSpot counts a deal at a different moment than your team's definition. HubSpot's deal reports default to close date while your pipeline review may count by stage entry date; booked revenue in HubSpot includes deals your finance team hasn't recognized yet. The reconciliation map above shows which HubSpot 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 HubSpot export.
HubSpot as the system of record for Deals, Contacts, Companies, and Owners. Definite syncs HubSpot, 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 HubSpot 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 HubSpot, 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 closes deals in Salesforce or tracks revenue in Stripe, Definite models all three into the same pipeline and win-rate definitions. The dashboard resolves to one number regardless of how many CRMs feed it.

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