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Ad testing guide

How to test video ad concepts with a factorial test

Test your hook, format and call to action in one round. See which element moves results, and which elements work best together.

The basics

What a factorial test is

A factorial test is an experiment that tests several ad elements, or factors, at the same time. It shows the effect of each element on its own, and how the elements work together.

Say you want the best mix of hook, format and call to action for a video ad. Each element gets two options. That is a 2 × 2 × 2 factorial test.

You make one ad for each combination and run all 8 at the same time.

FactorOption 1Option 2
HookQuestionBold statement
FormatUGCProduct demo
CTAShop nowLearn more

The answers

What a factorial test tells you

One round of 8 ads answers three questions.

1

Main effects

Does a question hook beat a bold statement on average? Compare the 4 ads with a question hook against the 4 with a bold statement.

2

Interaction effects

Does the question hook work well with UGC but poorly with a product demo? Compare the hook result inside the UGC ads with the result inside the demo ads.

3

Best combination

Which of the 8 ads gives the best result, for example the lowest cost per purchase? That is the ad to scale.

Worked example

How to read the results

Example numbers for cost per purchase, not from a real account. Lower is better.

Hook Question or Bold statementFormat UGC or Product demoCTA Shop now or Learn moreFilled = option 1 · Outline = option 2
Ad 1$22
QuestionUGCShop now
Ad 2$26
QuestionUGCLearn more
Ad 3$33
QuestionProduct demoShop now
Ad 4$35
QuestionProduct demoLearn more
Ad 5$34
Bold statementUGCShop now
Ad 6$38
Bold statementUGCLearn more
Ad 7$32
Bold statementProduct demoShop now
Ad 8$36
Bold statementProduct demoLearn more

1. Main effects

Average the 4 ads that share each option.

$29Question hook
$35Bold statement
$30UGC
$34Product demo
$30.25Shop now
$33.75Learn more

The question hook saves $6 per purchase on average. The hook matters most here.

2. Interaction effects

Compare the two hooks inside each format.

Inside UGC

$24Question hook
$36Bold statement

Inside product demo

$34Question hook
$34Bold statement

The question hook saves $12 in UGC and nothing in demos. It only works with UGC.

3. Best combination

Ad 1 wins: question hook, UGC and Shop now, at $22 per purchase.

The next round keeps the winning pair, question hook with UGC, and tests new elements on top of it.

Why it is useful

Factorial test vs one A/B test at a time

A normal A/B test changes one element at a time. A factorial test also shows how creative elements work together. A full factorial still tests every combination. The time you save is against running one A/B test after another.

One A/B test at a time

  • 3 rounds for 3 elements: hook, then format, then CTA
  • Each round waits for the last one
  • Never shows if a hook works better with one format

One factorial test

  • 1 round for 3 elements, 8 ads at the same time
  • Shows the effect of each element
  • Shows which pairs work together, and which do not

Pick your factors

Ad elements Connecty measures in every video

Connecty breaks down every video ad second by second and labels these elements. Each one can be a factor in your test. After the test, the same labels show what the winning ad did differently.

Hook type

Question, pain point, benefit, curiosity, social proof, offer first, demo first

Format

UGC, talking head, product demo, testimonial, motion graphic

First frame

A face, the product, text on screen, or a demo

Proof type

Testimonial, demo, measurable claim, before and after, reviews on screen

Proof timing

Early, middle or late in the ad

Key deciding moment

The second the ad makes its main point, and how many viewers still watch then

Offer

No offer, a visible offer, or a clear and prominent one

Call to action

Direct buy, soft, learn more, urgency

Opening emotion

Curiosity, pain, excitement, aspiration, humor

Production style

Lo-fi UGC or polished

Keep each factor to two options. 3 factors make 8 ads. 4 factors make 16.

Test ideas

Factorial tests from our category research

Each category comparison ends with concepts worth testing. Here is how three of them turn into one 2 × 2 × 2 test.

Fresh dog food

7 of 21 ads say vets back the food, and no vet speaks in any of them. Only 2 of 21 ads show a price.

Proof
A named vet on camera vs The owner says “vet developed”
Offer
Cost of one meal on screen vs 50% off only
Hook
Picky eater walks away from kibble vs Ingredient list first
See the fresh dog food comparison →
Sleep and bedding

11 of 34 videos promise a cooler night, and none gives a number. 28 of 34 make no offer.

Proof
One measured cooling result vs The couple’s story only
Offer
The trial, said early vs No offer
Story
Both sleepers tell their side vs One sleeper
See the sleep and bedding comparison →
Supplements

17 videos say clinically proven, studied or shown, and few give the size of the result. Only 18 of 104 have a clear call to action.

Proof
The study’s number on screen vs “Clinically studied” only
Call to action
One ask, said and shown vs No call to action
Format
Creator UGC vs Product demo
See the supplements comparison →

More categories in the video ad research.

Step by step

How to run a factorial test on Meta

  1. Pick one goal before launchFor example cost per purchase. For a hook test, the share of viewers who watch past the first 3 seconds.
  2. Pick 2 or 3 elements, 2 options eachKeep everything else the same: product, offer, length and landing page.
  3. Make one ad per combinationName each ad by its options, like Question-UGC-ShopNow, so the results sort easily.
  4. Give every ad a fair share of spendInside one ad set, Meta moves budget to early winners. Use Meta's A/B test tool, or one ad set per ad with the same budget and audience.
  5. Run all ads at the same timeSame audience, same dates, until each ad has enough results to compare.
  6. Read the results in orderEach element on average first, then the pairs, then the single best ad.

Smaller budget

Run half the ads: a 4-ad test

8 ads split your spend 8 ways. With a small budget, run 4 of the 8 instead.

Pick Ad 2, Ad 3, Ad 5, Ad 8. Every option shows up in 2 of the 4 ads, so you still see the effect of each element on its own.

The 4-ad version cannot separate the pairs. Confirm the winning pair in your next round.

Questions

Factorial testing FAQ

What is a factorial test in advertising?

A factorial test is an experiment that tests several ad elements at the same time, such as the hook, the format and the call to action. You make one ad for every combination. The results show the effect of each element on its own and how the elements work together.

How many ads do I need for a factorial test?

Multiply the options. Three elements with two options each need 2 x 2 x 2 = 8 ads. Four elements need 16. With a small budget, a half factorial with 4 of the 8 ads still shows each element's own effect.

What is an interaction effect?

An interaction effect means one element works differently depending on another. For example, a question hook may beat a bold statement in UGC ads but make no difference in product demo ads.

How is a factorial test different from an A/B test?

A normal A/B test changes one element at a time, so three elements take three rounds and never show how they combine. A factorial test answers all three in one round and shows which pairs work together. A full factorial still tests every combination.

14-day free trial

See why your winning ad won

Connecty analyzes every video ad in your account, second by second: hook, proof, offer and the key deciding moment. Try it free for 14 days.

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Made by Connecty, which reads and compares video ads. See every category in the video ad research.