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: ROAS, Attributed revenue, CAC, LTV : CAC. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (ROAS over time, CAC trend) show how the headline numbers have moved over time. A breakdown (Attributed revenue by channel) splits the metric by dimension so you can see what's driving the total. A detail table (ROI 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.
ROAS
Data ▾
| Period | ROAS |
|---|---|
| Jan | 2.7× |
| Feb | 2.7× |
| Mar | 2.7× |
| Apr | 3.0× |
| May | 2.9× |
| Jun | 2.4× |
| Jul | 2.4× |
| Aug | 4.0× |
| Sep | 2.7× |
| Oct | 3.7× |
| Nov | 2.8× |
| Dec | 4.1× |
Attributed revenue
Data ▾
| Period | Attributed Revenue |
|---|---|
| Jan | $456K |
| Feb | $507K |
| Mar | $524K |
| Apr | $576K |
| May | $665K |
| Jun | $500K |
| Jul | $506K |
| Aug | $749K |
| Sep | $600K |
| Oct | $872K |
| Nov | $805K |
| Dec | $1.06M |
CAC
Data ▾
| Period | CAC |
|---|---|
| Jan | $2K |
| Feb | $2K |
| Mar | $2K |
| Apr | $3K |
| May | $2K |
| Jun | $2K |
| Jul | $3K |
| Aug | $2K |
| Sep | $2K |
| Oct | $2K |
| Nov | $2K |
| Dec | $2K |
LTV : CAC
Data ▾
| Period | LTV : CAC |
|---|---|
| Jan | 12.5× |
| Feb | 8.4× |
| Mar | 9.5× |
| Apr | 7.8× |
| May | 8.8× |
| Jun | 10.6× |
| Jul | 7.3× |
| Aug | 11.1× |
| Sep | 10.2× |
| Oct | 10.8× |
| Nov | 15.2× |
| Dec | 10.5× |
ROAS over time
Data ▾
| Period | ROAS |
|---|---|
| Jan | 2.7× |
| Feb | 2.7× |
| Mar | 2.7× |
| Apr | 3.0× |
| May | 2.9× |
| Jun | 2.4× |
| Jul | 2.4× |
| Aug | 4.0× |
| Sep | 2.7× |
| Oct | 3.7× |
| Nov | 2.8× |
| Dec | 4.1× |
Attributed revenue by channel
Data ▾
| Channel | Attributed Revenue |
|---|---|
| Paid Search | $248K |
| Paid Social | $150K |
| Organic | $250K |
| $177K | |
| Referral | $230K |
CAC trend
Data ▾
| Period | CAC |
|---|---|
| Jan | $2K |
| Feb | $2K |
| Mar | $2K |
| Apr | $3K |
| May | $2K |
| Jun | $2K |
| Jul | $3K |
| Aug | $2K |
| Sep | $2K |
| Oct | $2K |
| Nov | $2K |
| Dec | $2K |
ROI efficiency
- Which Google Ads campaign has the best ROAS, and which is below breakeven?
- Show me how CAC from Google Ads has trended relative to LTV over the last year.
- Break ROAS out by ad group instead of campaign.
- What would blended ROI look like if I cut the lowest-returning Google Ads campaign?
- Trace this quarter's attributed revenue back to the Google Ads keywords that drove it.
- Is branded search inflating my overall Google Ads ROAS?
- Break ROAS by Google Ads campaign and flag any campaign below 1x.
- Show cost per conversion by keyword alongside attributed revenue.
- Compare branded versus non-branded Google Ads ROAS side by side.
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 |
|---|---|---|---|
| ROAS | Revenue attributed back to ad spend per dollar spent, the headline efficiency number for paid. | Attributed Revenue ÷ Ad Spend | Google Ads, Stripe |
| CAC | What it costs in sales and marketing to win one new customer. | S&M Spend ÷ New Customers | Google Ads, Quickbooks, Stripe |
| LTV : CAC | The payback test on growth spend. Lifetime value divided by acquisition cost. | LTV ÷ CAC | Stripe, Google Ads, Quickbooks |
| Cost per Conversion | What you pay, on average, for a single conversion, the unit cost of demand. | Ad Spend ÷ Conversions | Google Ads, Stripe |
| LTV | The gross-margin revenue an average customer is worth over their lifetime, before you spend to acquire the next one. | (ARPA × Gross Margin) ÷ Logo Churn | Stripe, Google Ads, Quickbooks |
Have our agent watch for you
A google ads roi 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 google ads roi 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.