Use case
See which campaigns earn their budget
Spend keeps rising while signups stay flat. Each ad platform reports its own numbers, so nobody sees the whole picture.
For: Marketing leads and growth teams
Why it matters
Budget keeps flowing to the campaigns that report best, not the ones that bring in signups.
Ask in order
Three questions that answer it
Ask them in this order. Each answer sets up the next question.
What is cost per signup by channel for the last 30 days?
Compares every channel on the same measure.
Show cost per signup by week for the most expensive channel.
Shows whether that channel is getting worse or was always expensive.
Which campaigns have above-average spend and above-average cost per signup?
Names the campaigns to pause first.
The numbers in these questions are examples. Use the thresholds and time windows that fit your team.
Then follow up
Ask about the chart, not the whole file again
Follow-up questions build on what is already on the canvas, so you don't restate the dataset or the time window.
For the campaigns to pause, show spend by week for the last 30 days.
Shows how much budget you get back by pausing them now.
Data you need
A daily export of spend and signups by channel and campaign.
Decision it drives
Which campaigns to pause, and where to move the budget.
Check the answer
Check every number before you act on it
Open the query behind any chart to see how a number was worked out and which figures it came from. When a question could mean two things, such as gross or net revenue, DashboardGPT asks you which one you mean.
Open the query behind cost per signup to see which spend and which signups it divides.
FAQ
Common questions
More use cases
Run these three questions on your own export
The playground runs on demo SaaS, e-commerce and website data, so it shows how answers work rather than these exact questions. To ask them of your own export, create an account and upload it. Every new account starts on a free 15-day Team trial, with no card required.