The cheapest way to make AI UGC ads at scale
The cheapest way to make AI UGC ads at scale is credit-based pricing. See how Polaris ($37-$49/mo, 1,500 credits) beats per-video and per-seat ad tools.
The cheapest way to make AI UGC ads at scale is a credit-based studio built for volume: with Polaris you pay from $37 to $49 per month for 1,500 credits and spend that pool across as many video and image ads as you want, instead of paying per finished video or per user seat, where the bill grows every time you produce more.
If your goal is to test a lot of creative every week, the pricing model matters more than any single feature. Below we break down why per-video and per-seat pricing quietly punish the exact behavior that wins on TikTok and Meta, and how a shared credit pool changes the math for an ecommerce team.
Why per-video and per-seat pricing punishes scale
Performance creative is a volume game. You do not know which hook, angle, or caption style will win until you ship several and read the numbers. That means the tools that charge you more the more you produce are working directly against your strategy.
There are two common pricing shapes we see across AI ad tools, and both get expensive as you grow:
- Per-video / per-render: you pay for each generated clip. Great for one hero video, painful when you want twenty variants of a hook this week.
- Per-seat: you pay a monthly fee for every user who logs in. Add a media buyer, an editor, and a freelancer, and the cost multiplies before you have made a single ad.
Competitor pricing varies and changes often, so always check the current public pricing page before you commit. But the structural point holds: when the meter runs on outputs or headcount, testing more creative always costs more.
How credit-based pricing actually works
Polaris uses a single credit pool. Our Pro plan is $49/mo for 1,500 credits per month, and it gets cheaper on longer terms: $42/mo on a 3-month plan and $37/mo on a 6-month plan. Those credits are yours to spend however you want across the studio.
The advantage is flexibility. One month you might pour credits into ten video variants for a product launch. The next month you spend them on clean product shots and image ads. The seat count does not change the price, and testing an eleventh variant does not trigger a new line item. You are budgeting for output volume as a whole, not renting one video at a time.
For a store running weekly creative tests, that predictability is the whole point: you know your ceiling, and every credit goes toward an ad you can actually run.
Polaris vs per-video and per-seat tools
Here is how the credit model compares to the two pricing shapes most AI ad tools use, across the things that decide cost and quality at scale.
| Row | Polaris | Per-video AI tools | Per-seat avatar tools |
|---|---|---|---|
| Focus | Ecommerce only: paste a product image or link, get UGC-style ads | General video generation | Talking-head avatars / spokesperson videos |
| Video models | Multiple top models chosen per shot (Google Veo, Kling, Seedance, Nano Banana) | Often one model or engine | Usually a proprietary avatar engine |
| Captions | One-click Auto-Captions, 4+ TikTok-native styles (TikTok, Hormozi, Beast, Neon), word-accurate and burned in | Varies; often add-on or manual | Varies by platform |
| Recreate winning ads | Yes: paste a reference ad, get your own version | Not typically | Not typically |
| Works in Claude | Yes, via MCP connector: make ads inside a chat | Rarely | Rarely |
| Pricing | Credit pool: $37-$49/mo for 1,500 credits/mo | Per video or per render (varies) | Per seat per month (varies) |
| Best for | Ecommerce teams testing lots of creative | One-off or general video needs | Corporate / explainer avatar content |
To keep this fair: competitor capabilities and prices shift, so treat the middle and right columns as the general shape of those categories based on their public positioning, not fixed numbers.
The hidden costs that make "cheap" tools expensive
A low sticker price is not the same as a low total cost. In our experience, the real spend on AI UGC hides in the steps after the raw clip is generated:
- Captioning: if you export a bare video and caption it in a separate editor, that is time and often another subscription. Polaris burns word-accurate captions in with one click.
- Editing seats: tools that bill per user mean every person who touches a video adds cost. A shared credit pool does not.
- Re-rolls: when a tool charges per render, every "not quite right" take costs money. Credits let you iterate toward the winner without watching a separate meter.
- Model lock-in: a single-model tool can leave certain shots looking flat. Polaris picks from multiple top models per shot, so you are not paying to work around one engine's weak spots.
Add those up and the "cheapest" per-video price can end up costing more per usable, ready-to-post ad than a flat credit plan.
Why teams pick Polaris
Polaris is an AI ad studio built only for ecommerce. Paste a product image or link and it generates UGC-style video and image ads in minutes. The reasons teams choose it for cost-efficient volume come down to real, shipped features:
- Multiple top video models, one studio. We route each shot to the model that renders it best, so you get quality without juggling several subscriptions.
- Auto-Captions built in. Four-plus TikTok-native styles, transcribed word-accurate and burned into the video, no second app.
- Recreate any winning ad. Paste a reference you admire and get your own product's version, which shortcuts the slowest part of creative: figuring out what to make.
- It runs inside Claude. Through our MCP connector you can generate ads right in a chat, so the workflow lives where you already work.
- Predictable, scale-friendly pricing. $37-$49/mo for 1,500 credits, spent your way, with no per-seat penalty for adding teammates.
One honest note so expectations are right: Polaris does not ship a library of pre-made AI actors or characters. Our lane is turning your actual product into UGC-style ads fast and cheap, not casting a virtual spokesperson.
Make the math work for your store
If you make a handful of ads a year, almost any tool is fine. If you test creative every week and want to scale without your bill scaling with you, credit-based pricing is the cheaper structure, and Polaris is built specifically for ecommerce volume.
Run the numbers on your own output: create your first ad to see how far 1,500 credits go, and see pricing to compare the monthly, 3-month, and 6-month rates.