Want better performing ads? Here's a dead-simple framework to test your ad creatives and boost results.
Quick Summary:
- Research & build theory - Study what works, form clear test ideas
- Set up test - Define goals, metrics, budget (10-20% of ad spend)
- Make test ads - Create variants, keep control group
- Run & monitor - Track for 3-4 days minimum
- Review & optimize - Use winning elements in future ads
Step | What You'll Do | Why It Matters |
---|---|---|
Research | Study past results & competitors | Find what works |
Setup | Set goals & budget | Track success |
Creation | Make ad variants | Test different elements |
Running | Monitor performance | Gather data |
Review | Analyze results | Improve future ads |
What You Can Test:
- Headlines
- Images/videos
- Ad copy
- Call-to-action
- Ad format
Real Results: Taylor Stitch cut their cost-per-purchase by 66% just by testing ads with vs. without models.
Key Metrics to Track:
- Click-through rate (CTR)
- Conversion rate
- Cost per acquisition (CPA)
- Return on ad spend (ROAS)
Remember: Test one element at a time and run tests for at least 3-4 days to get reliable data.
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Basic Concepts of Ad Testing
Ad testing is all about making your marketing more effective. It's simple: you create different versions of your ads and see which ones perform best. Let's dive into the key ideas.
Goals and Results
The main point of ad testing? To make your ads work harder. This means:
- More clicks
- More conversions
- Lower costs
Here's a real-world example: Taylor Stitch tested ads with and without models. The result? Ads without models slashed their cost-per-purchase by 66%. That's the power of a small change.
What to Test
You can test many parts of an ad:
Ad Element | Test Ideas |
---|---|
Headline | Words, length |
Images | Photos, graphics, colors |
Ad Copy | Length, tone, message |
Call-to-Action | Button text, placement |
Ad Format | Image vs. video |
Pro tip: Test one thing at a time. It's the best way to know what's making a difference.
Before You Start
Before you jump in:
- Set clear goals
- Know your audience
- Have a way to measure results
"If you aren't running regular creative testing, you are likely wasting your ad dollars on ineffective creative and even worse – wasting your creative team's time on assets that won't scale." - Meredith Unger, Creative Strategist at Tinuiti
Meredith's right. Regular testing isn't just nice to have - it's a must.
Step 1: Research and Build Your Theory
Before you start testing ads, you need a game plan. Here's how to create one:
Check Past Results
Look at your old ad data. What worked? What didn't? Focus on:
- Click rates
- Best-performing calls-to-action
- Top-converting visuals
Use these insights to guide your new tests. If videos crushed it before, maybe test different video styles now.
Look at Other Ads
Scope out your competitors' ads. Don't copy, but get inspired. Check out:
Element | What to Look For |
---|---|
Visuals | Colors, image types, video use |
Copy | Tone, length, key messages |
Offers | Discounts, trials, bundles |
Format | Ad types (carousel, single image, etc.) |
Know Your Audience
Facebook ads can reach over 2.1 billion people. That's a lot. So, get specific:
- Who are they? (age, location, income)
- What do they like?
- What problems do they have?
This info helps you create ads that speak directly to your target audience.
Make Your Test Theory
Now, create a clear plan. Your theory should say:
- What you're changing
- Why you think it'll work
- How you'll measure success
For example: "We think using customer testimonials instead of product features will boost our click-through rate by 20% because it builds trust."
"Testing old or ineffective assets gives you a benchmark for your new assets." - Sam Killip, VP Customer Success
This method helps you improve your ads step by step, based on real data.
Step 2: Set Up Your Test
You've done your research and formed a theory. Now, let's set up your ad test.
Set Starting Points
First, measure your current ad performance:
- Choose key metrics (like click-through rate)
- Gather existing ad data
- Calculate metric averages
For instance, if your current click-through rate is 2%, that's your baseline.
Define Good Results
Set specific goals. Here's an example:
Metric | Current | Goal |
---|---|---|
Click-through rate | 2% | 2.5% |
Conversion rate | 1% | 1.2% |
Cost per acquisition | $50 | $45 |
Clear goals help you spot success.
Plan Your Spending
Split your ad budget like this:
Budget Type | Percentage | Example ($10,000/month) |
---|---|---|
Regular ads | 80-90% | $8,000 - $9,000 |
Ad testing | 10-20% | $1,000 - $2,000 |
Jack Gierlich, Director of Growth at Trialjectory, says:
"Multivariate testing doesn't have to cost $20,000. You can get clear, clean learnings that can impact strategy and revenue with much, MUCH less. We've successfully run campaigns with as low as $1,000 through Marpipe."
When budgeting, consider:
- Number of ad variants
- Minimum spend per variant
- Test duration (Facebook suggests at least four days)
Effective testing can pay off big. One Marpipe customer saw a 350% jump in add-to-cart rate from an eight-ad test.
Step 3: Make Test Ads
Creating different ad versions is crucial for effective testing. Here's how:
Make Different Versions
Create multiple ad versions by changing one element at a time:
- Headlines
- Ad copy
- Images or videos
- Call-to-action buttons
Example: Test two headlines:
- "Save 50% on Your Next Purchase"
- "Limited Time Offer: Half Off Everything"
Use tools like AdCreative.ai or Quickads to speed up the process.
Keep Original Ads
Keep your original ads running as a control group. This lets you measure new versions against your baseline.
Set up your test structure:
Ad Group | Purpose |
---|---|
Control | Original ads |
Test A | New headline |
Test B | New image |
Test C | New CTA |
This setup helps isolate which changes impact performance.
Pick Testing Tools
Choose the right tools for efficient testing:
- Facebook's built-in A/B testing
- Google Ads Experiments
- Third-party platforms (Marpipe, Hunch)
Marpipe lets you test multiple ad elements at once. One user said:
"We've successfully run campaigns with as low as $1,000 through Marpipe."
When picking a tool, think about:
- Your budget
- Number of variations to test
- Ad platforms you'll use
Step 4: Run and Watch Tests
Start Your Tests
Here's how to kick off your ad testing:
1. Set up ad groups
Split your ads into control and test groups:
Ad Group | Purpose |
---|---|
Control | Original ads |
Test A | New headline |
Test B | New image |
Test C | New CTA |
2. Target your audience
Pick a group that matches your ideal customer. Start broad, then narrow down.
3. Choose test length
Run your test for at least 3-4 days to get solid data.
4. Go live
Launch your ads in Facebook Ads Manager or Google Ads Experiments.
Collect Test Data
Track these key metrics:
- Click-through rate (CTR)
- Conversion rate (CR)
- Cost per acquisition (CPA)
- Return on ad spend (ROAS)
- Revenue per impression (RPI)
Mix in some qualitative data too. And don't forget to randomize your assets to avoid bias.
Check Progress
Keep an eye on your results:
- Build a dashboard in Facebook's ad reporting tool
- Set up triggers to pause underperforming ads
- Focus on hook rate, hold rate, cost per purchase, and overall result rate
- For month-long tests, look at weekly, not daily, data
Don't sweat it if only a few ads hit your goals. A 10% win rate is typical for creative tests.
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Step 5: Review and Improve
Read Your Results
After your ad tests, it's time to crunch the numbers. Focus on these metrics:
- Click-through rate (CTR)
- Conversion rate
- Cost per acquisition (CPA)
- Return on ad spend (ROAS)
Compare these between your control and test groups. Look for clear winners - ads that crush the competition.
Check Data Accuracy
Before you make any moves, make sure your data's legit:
- Run tests for at least 3-4 days
- Aim for 95% confidence in your results
- Watch out for curve balls like holidays or big news events
Not sure about your data? Run the test again or let it cook a bit longer.
Use What Works
Got solid results? Time to put them to work:
1. Implement winning elements in your main campaigns
2. Create new ads based on what you've learned
3. Plan your next round of tests
Remember: Ad testing never stops. Keep tweaking based on what the data tells you.
Example: Facebook Ad Test Results
Ad Version | CTR | Conversion Rate | CPA |
---|---|---|---|
Control | 2.1% | 3.5% | $15 |
Test A | 2.8% | 4.2% | $12 |
Test B | 1.9% | 3.2% | $18 |
In this case, Test A knocked it out of the park. Next step? Use what worked in Test A for future campaigns and keep testing to squeeze out even better results.
Tips for Better Testing
Want to nail your ad creative testing? Here's how:
Test One Thing at a Time
Change just ONE element per test. This way, you'll know exactly what's moving the needle. Check out this Facebook ad example:
Test Version | What Changed |
---|---|
Control | Original ad |
Test A | New headline |
Test B | New image |
Test C | New CTA |
By isolating variables, you'll see which tweaks actually work.
Get Enough Data
Don't jump to conclusions too fast. Aim for:
- 3-4 days of run time (minimum)
- 95% statistical confidence
- A few thousand impressions
Facebook says: Run tests for two weeks or until you hit several thousand impressions. This keeps your results solid and not skewed by short-term blips.
Avoid Testing Traps
Watch out for these common mistakes:
- Testing during weird times (holidays, big events)
- Changing multiple things at once
- Cutting tests short
- Ignoring outside factors that could mess with results
Here's what Meredith Unger, Creative Strategist at Tinuiti, has to say:
"If you aren't running regular creative testing, you are likely wasting your ad dollars on ineffective creative and even worse – wasting your creative team's time on assets that won't scale."
To squeeze the most out of your tests:
1. Set clear, measurable goals (use SMART)
2. Get your whole marketing team involved for consistent messaging
3. Build a dashboard to track your ad metrics easily
Testing Tools
Want to make your ad testing easier? Here are some tools that can help:
Content and Marketing Tools
Content and Marketing has a list of tools for making and managing ads. These can help you create and test ads faster.
Data Tools
You need data to test ads well. Here are some popular tools:
Tool | What It Does | Cost |
---|---|---|
Facebook Ads Manager | Manage Facebook ads | Free |
Madgicx | AI helps optimize ads | From $49/month |
AdRoll | Combines social, search, and email ads | Ask for price |
AdStage (TapClicks) | Reports and automates social media | Ask for price |
Madgicx's AI Marketer watches your ads 24/7 and suggests improvements. Their Creative Workflow makes Meta ads that convert, with designs ready in 48 hours.
Time-Saving Tools
These tools can speed up your testing:
1. AdCreative.ai
Makes ad designs based on your brand. You can test these on Meta, Instagram, and Google Ads.
2. Sivi.ai
Uses chatbot-style text and your website to make ads for big platforms like Amazon and WhatsApp.
3. Quickads
Easy ad creation for small businesses. You can even do a virtual photoshoot for better visuals.
When picking tools, think about what you need, your budget, and where you're advertising. Many let you try for free before you buy.
Track Your Success
Let's talk about keeping tabs on your ad testing. You need to watch the right numbers to know if your efforts are paying off.
Key Metrics to Watch
Focus on these when testing your ads:
Metric | What It Means | Why It Matters |
---|---|---|
Click-Through Rate (CTR) | How many clicks per view | Shows if your ad grabs attention |
Conversion Rate | Clicks that become actions | Tells if your ad drives results |
Cost Per Click (CPC) | What you pay for each click | Helps control your spending |
Return on Ad Spend (ROAS) | Money made per dollar spent | Shows if ads are profitable |
Keep an eye on these. A dropping CTR? Your ad might be boring. High CPC? You're overpaying for clicks. Low conversions? Your ad isn't convincing people to act.
Is It Worth It?
To check if your testing makes sense financially, do this:
- Total up your ad testing costs.
- Track the revenue from these ads.
- Use this formula: (Revenue - Costs) / Costs
Let's say you spend $1,000 on ads and make $3,000:
($3,000 - $1,000) / $1,000 = 2
You're making an extra $2 for every $1 spent. Nice!
But if you spend $1,900 and only make $1,500:
($1,500 - $1,900) / $1,900 = -0.21
Uh-oh. You're losing 21 cents per dollar. Time to rethink your strategy!
Wrap-Up
Here's a quick rundown of our ad creative testing framework:
1. Research and Build Your Theory
Dig into past results, study competitors, know your audience, and form a clear hypothesis.
2. Set Up Your Test
Establish baselines, define success, and budget smartly (10-15% of total ad spend).
3. Make Test Ads
Create multiple versions, keep control ads, and pick the right tools.
4. Run and Watch Tests
Launch, gather data consistently, and keep an eye on progress.
5. Review and Improve
Analyze results, check data accuracy, and use winning elements in future ads.
Next Steps
Ready to roll? Here's how to get started:
- Start with A/B testing one element, like ad copy or images.
- Use a spreadsheet or tool to track your tests and results.
- Give tests at least a week to gather enough data.
- Learn from successful campaigns. Taylor Stitch cut their cost-per-purchase by 66% just by testing ads with and without models.
- Make testing an ongoing habit. As Dale Carnegie put it: "An hour of planning can save you 10 hours of doing."
- Focus on key metrics: CTR, conversion rate, and ROAS.
- Check out Content and Marketing's directory for ad creation and management tools that fit your needs.
FAQs
What are the different types of creative testing?
Here are the main types of creative testing:
1. Split testing (A/B testing)
Compare two ad versions to see which one works better.
2. Multivariate testing
Test multiple elements at once to find the best combo.
3. Lift testing
See how a new ad stacks up against a control group.
4. Monadic testing
Each group sees just one ad version. This cuts down on bias.
5. Sequential monadic testing
People check out multiple ads one after another.
When you're running tests:
- Know your goals and KPIs before you start
- Test one thing at a time for clear results
- Use a big enough sample size
- Let tests run for 3-7 days to get good data
Test Type | Use It For | Main Perk |
---|---|---|
Split | Quick comparisons | Easy setup and analysis |
Multivariate | Big changes | Tests lots of stuff at once |
Lift | Seeing improvement | Shows direct gains over baseline |
"Testing old or ineffective assets gives you a benchmark for your new stuff." - Sam Killip, VP Customer Success
Don't get hung up on what you like. Focus on what works for your campaign. As Jacqueline Murray from DardenLentz says:
"The biggest mistake? Asking participants which concept they like best."
Want to make testing easier? Check out Content and Marketing's directory for ad creation and management tools.