Should I spend more on production or on running the ad?

For a first test, spend as little as possible on production and put more of your budget toward actually running the ad — you learn more from testing a cheap ad with real media spend behind it than from polishing one ad that never gets shown to enough people to judge.

How much should I test with before scaling an ad?

Enough to reach a meaningful number of people in your actual target audience, run for at least several days — a budget too small to leave the platform's initial learning phase won't give you a reliable read either way.

Is a cheap AI-made ad as effective as an expensive one?

Production cost and ad performance aren't directly linked — a clear, well-targeted cheap ad regularly outperforms an expensive one that doesn't fit the platform or audience. Production quality matters, but it's one factor among several, not the deciding one.

Budgeting

How much should a small business spend on video ads?

Engaze6 min read

"How much should this cost?" is really two separate questions most people ask as one: what does it cost to make the ad, and what does it cost to get it in front of people? Mixing them up is the most common budgeting mistake small businesses make with video ads.

A small business owner reviewing a budget spreadsheet on a laptop comparing freelancer, agency and AI tool costs for video ads — Two budgets, not one: what it costs to make the ad, and what it costs to run it.

Quick answer

Split your budget into production cost (making the ad) and media spend (paying the platform to show it) — they're not the same line item. For a first test, keep production cost low and put more of the budget toward media spend, since you learn far more from testing a cheap ad on real people than from polishing one ad nobody's seen yet. Only increase spend behind an ad that's already proven it converts.

1Separate the two costs before you budget anything

Production cost is what it takes to make the ad exist. Media spend is what you pay the platform to show that ad to people. They're easy to conflate because they both feel like "the ad budget," but they behave completely differently — production is a one-off cost, media spend is ongoing and scales with results.

2Know the typical range for production

Route	Typical cost	Turnaround
Freelance videographer	£150–£500	Days–weeks
Agency	£1,000+	Weeks
Freelance marketplace	£20–£80	Days
AI generation	£5–£35	Minutes

For a first test of a new offer or product, the cheapest route that produces something usable is usually the right call — you don't yet know if the ad will work, so there's little reason to over-invest in production before you find out.

3Budget media spend separately, and start small

A test budget needs to be large enough to reach a meaningful number of people in your actual target audience, run for at least several days — a budget too small to get past a platform's initial learning phase won't give you a reliable read either way. Start at a level you're comfortable losing entirely if the ad doesn't work, then scale from there.

4Don't let production cost dominate a test budget

Spending most of your total budget on production and very little on actually showing the ad to people is a common mistake — it means even a great ad barely gets tested. As a rough guide, a first test's media spend should be at least as large as what you spent making the ad, often larger.

5Know the signal that means it's time to scale

Increase spend behind an ad once it's shown it converts at a cost you're comfortable with, over a big enough sample to trust the result — not because it "feels" like it's doing well, and not on day one. Scaling too early on too little data is how budgets get wasted on an ad that only looked promising by chance.

A simple starting rule

Spend as little as realistic on production for a first test, put more into media spend so the test is actually meaningful, and only invest in a more polished version of the ad once the cheap version has proven the concept works.

Common budgeting mistakes

Spending heavily on one polished ad instead of testing several cheap variations to see what actually resonates.
A media budget too small to leave the platform's learning phase, making any result unreliable.
Scaling spend based on a good first day rather than a large enough sample to trust.
Treating production cost and media spend as one number, making it hard to tell which one needs adjusting when results are poor.

Engaze AI Studio

Keep production cost low while you test

Generate a finished ad in minutes for a fixed price, so more of your budget goes toward actually running it.

Product Ad — £25 Multi-Shot Story Ad — £35

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Should I spend more on production or on running the ad?: For a first test, spend as little as possible on production and put more of your budget toward actually running the ad — you learn more from testing a cheap ad with real media spend behind it than from polishing one ad that never gets shown to enough people to judge.
How much should I test with before scaling an ad?: Enough to reach a meaningful number of people in your actual target audience, run for at least several days — a budget too small to leave the platform's initial learning phase won't give you a reliable read either way.
Is a cheap AI-made ad as effective as an expensive one?: Production cost and ad performance aren't directly linked — a clear, well-targeted cheap ad regularly outperforms an expensive one that doesn't fit the platform or audience. Production quality matters, but it's one factor among several, not the deciding one.