UGC Cost Calculator
Estimate monthly and annual creative savings versus your current UGC production stack.
Recent G2 review
Affordable Quality Ads, Easy to Use
I find EzUGC to be affordable and appreciate the great quality of the video and image ads it helps create. I particularly enjoy the video quality because it ensures that what customers see online is good, leading to more conversions for me. I also find the setup to be very simple and straightforward, which was a big plus when transitioning from Canva to using EzUGC all the time.
Before you use the output
Cost per video is useful, but approved output is the real number
A cost calculator is only honest when it reminds you what it cannot see. Monthly sticker price matters, but ad teams do not get paid for drafts. They get paid for approved creative that actually makes it into spend.
Use this calculator as a fast planning tool, especially when you are comparing creator-led production against AI UGC or one software stack against another. Then sanity-check the result against how many rerenders, revisions, or handoffs usually happen before your team ships anything.
How to read the savings number like an operator
Start with your current monthly volume, not your aspirational one. If your team normally ships 12 or 20 ads a month, run that number first. Otherwise you end up comparing theoretical scale instead of the workflow you actually have today.
Then pressure-test the per-video assumption. A creator invoice might look expensive, but maybe the approval rate is high. A cheaper tool might look efficient, but the number falls apart if the team needs three retries and another editor to finish the job. This calculator becomes useful when you feed it realistic assumptions instead of optimistic ones.
The annual savings view is there to frame decision size, not to inflate the argument. If the monthly difference is small, that is a signal too. Some teams should not switch tools until the workflow friction is more painful than the line-item spend.
Where this calculator still understates reality
It does not model approval drag, asset cleanup, or QA debt. Those are often the hidden taxes that make one stack feel cheap in a spreadsheet and expensive in a real weekly workflow.
It also does not model creative upside. If a faster system lets you test twice as many angles, the value is not just lower production cost. It is better odds of finding a winner before the week is gone.
What to compare after the savings estimate
Once you know the cost gap, move straight into throughput and workflow quality. Pricing without speed, approval rate, and testing volume usually leads teams to the wrong conclusion.