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.
Here’s what’s in it
The top row leads with the 4 numbers that matter most: Lead volume, MQLs, Cost per lead, Lead → MQL rate. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (Lead volume over time, Cost per lead trend) show how the headline numbers have moved over time. A breakdown (Leads by channel) splits the metric by dimension so you can see what's driving the total. A detail table (Lead gen efficiency) 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.
Lead volume
Data ▾
| Period | Lead Volume |
|---|---|
| Jan | 3.0K |
| Feb | 3.8K |
| Mar | 3.4K |
| Apr | 3.2K |
| May | 3.4K |
| Jun | 3.2K |
| Jul | 3.5K |
| Aug | 3.7K |
| Sep | 4.1K |
| Oct | 4.7K |
| Nov | 6.3K |
| Dec | 5.9K |
MQLs
Data ▾
| Period | MQLs |
|---|---|
| Jan | 1.2K |
| Feb | 1.4K |
| Mar | 1.5K |
| Apr | 1.8K |
| May | 1.7K |
| Jun | 1.9K |
| Jul | 2.3K |
| Aug | 2.0K |
| Sep | 2.2K |
| Oct | 2.4K |
| Nov | 2.3K |
| Dec | 2.2K |
Cost per lead
Data ▾
| Period | Cost per Conversion |
|---|---|
| Jan | $52 |
| Feb | $43 |
| Mar | $46 |
| Apr | $44 |
| May | $45 |
| Jun | $53 |
| Jul | $42 |
| Aug | $62 |
| Sep | $48 |
| Oct | $68 |
| Nov | $68 |
| Dec | $51 |
Lead → MQL rate
Data ▾
| Period | Lead → MQL Rate |
|---|---|
| Jan | 40.1% |
| Feb | 37.2% |
| Mar | 43.3% |
| Apr | 56.4% |
| May | 50.4% |
| Jun | 58.8% |
| Jul | 65.1% |
| Aug | 52.9% |
| Sep | 54.0% |
| Oct | 50.3% |
| Nov | 35.8% |
| Dec | 37.5% |
Lead volume over time
Data ▾
| Period | Lead Volume |
|---|---|
| Jan | 3.0K |
| Feb | 3.8K |
| Mar | 3.4K |
| Apr | 3.2K |
| May | 3.4K |
| Jun | 3.2K |
| Jul | 3.5K |
| Aug | 3.7K |
| Sep | 4.1K |
| Oct | 4.7K |
| Nov | 6.3K |
| Dec | 5.9K |
Leads by channel
Data ▾
| Channel | Lead Volume |
|---|---|
| Paid Search | 1.5K |
| Paid Social | 1.5K |
| Organic | 672 |
| 1.0K | |
| Referral | 1.3K |
Cost per lead trend
Data ▾
| Period | Cost per Conversion |
|---|---|
| Jan | $52 |
| Feb | $43 |
| Mar | $46 |
| Apr | $44 |
| May | $45 |
| Jun | $53 |
| Jul | $42 |
| Aug | $62 |
| Sep | $48 |
| Oct | $68 |
| Nov | $68 |
| Dec | $51 |
Lead gen efficiency
- Which channel generates the most leads at the lowest cost?
- Show me cost per lead by channel over the last quarter.
- Why did lead volume drop last month when spend was flat?
- What would MQL volume look like if organic lead conversion improved by 10%?
- Break leads by source instead of channel.
- Trace this month's MQLs back to the campaigns that generated the leads.
- Break lead volume by channel and flag any channel where cost per lead doubled.
- Add MQL conversion rate by source to see which channels produce quality leads.
- Show me lead volume trend overlaid with ad spend.
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.
| Metric | What it measures | How it's calculated | Sources |
|---|---|---|---|
| Cost per Conversion | What you pay, on average, for a single conversion, the unit cost of demand. | Ad Spend ÷ Conversions | Google Ads, Facebook Ads |
| Lead → MQL Rate | — | MQLs ÷ Lead Volume | Hubspot |
| MQL → SQL Rate | The share of marketing-qualified leads that sales accepts as qualified, the handoff health check between the two teams. | SQLs ÷ MQLs | Hubspot |
Have our agent watch for you
A lead generation 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.
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 →
Build your lead generation dashboard
From signup to a working dashboard in one sitting. No data team required.
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.