A/B testing in TrafficStars is a process to compare different ad versions to see which one works best. We can test different ad creatives, ad titles, ad formats, and targeting options to improve CTR, CR, and ROI.
Why is A/B testing important for advertisers?
A/B testing helps me:
- Boost CTR and CR
- Decrease CPA and ad spend waste
- Discover the best ad creatives and offers
- Optimize ad campaigns using data
- Scale ad campaigns with predictable results
Without testing, ad optimization happens on assumptions. But A/B testing helps me turn assumptions into results.
What elements can I A/B test in TrafficStars?
We can test almost anything in TrafficStars. Here are some examples:
- Ad creatives: images, videos, banners, etc.
- Ad titles and ad copies
- Landing pages and pre-landers
- Ad formats: native, push, popunder, in-page push, etc.
- GEOs and device types
- Bid levels and pricing models
- Traffic sources and placements
The best practice is to test one element at a time to see clearly which element impacts results.
How to do A/B testing in TrafficStars step by step?
Create a campaign Set up a campaign in TrafficStars with your target GEO, ad format, and budget.
Add multiple variations Upload 2–4 creatives or landing pages to be tested. Keep all other settings the same.
Split traffic evenly This will ensure unbiased results.
Collect enough data Let the test run until each variation has received sufficient impressions and conversions.
Analyze results Compare your results in TrafficStars statistics: CTR, CR, CPA, ROI.
Stop losing variants Stop underperforming ads and scale up the winning one.
Repeat the process This is the key to growing your campaigns.
How long to run an A/B test?
A good A/B test will run until:
- Each variant has received a sufficient number of impressions
- There is a clear performance difference between variants
- The results show performance trends over time
Why? If you stop too early, your results might be false.
How long is too early? For most tests, at least 24–72 hours.
- A/B testing mistakes to avoid
- Testing too many variables at once
- Stopping tests too early
- Not considering statistical significance
- Not distributing traffic evenly
- Scaling up too fast without re-running tests
The right approach to A/B testing will bring the desired results.
Can I perform A/B tests as a beginner on TrafficStars?
Yes! Our platform makes it very easy to run campaigns and understand the results. Start with creative tests and move on to more complex tests as you gain experience and data.
support@trafficstars.com