# A/B Testing Software: A Visual Website Optimizer Ways to Maximizer High Conversion Rates for eCommerce Agencies > Convert\.com’s A/B testing tool has split testing, personalization, advanced goals, fast support, and monthly payments\. Generated by Yoast SEO v27.4, this is an llms.txt file, meant for consumption by LLMs. ## Pages - [Glossary](https://www.convert.com/glossary/) - [Simplistic](https://www.convert.com/free-trial/simplistic/) - [Certified Partners Get The Best Out of Your A/B Testing Tools](https://www.convert.com/certified-partners/) - [Heybee](https://www.convert.com/certified-partners/heybee/) - [Pivotal](https://www.convert.com/free-trial/pivotal/) ## Articles - [Optimizely Alternatives: Top A/B Testing Platforms to Consider for 2026](https://www.convert.com/blog/optimization-tools/optimizely-alternatives-for-ab-testing/) - [What Is A/B Testing? The Complete 2026 Guide](https://www.convert.com/blog/a-b-testing/ab-testing-guide/): A/B Testing is an experiment that compares two or more versions of a specific marketing asset to determine the best performer\. - [A/B Testing Statistics: Why Statistics Matter in Experimentation](https://www.convert.com/blog/a-b-testing/decode-master-ab-testing-statistics/) - [How to Optimize Your Shopify Marketing Across the Board? \(With Real Examples From Growth and CRO Experts\)](https://www.convert.com/blog/shopify-ab-testing/optimize-shopify-marketing-with-ab-testing/) - [Top 10 A/B Testing Tools That Are Good for the Next 5 Years \(Vetted by Features, Privacy, Maturity \& Price\)](https://www.convert.com/blog/a-b-testing/top-ab-testing-tools-2022/) ## Glossary - [Type I Error \(False Positive\)](https://www.convert.com/glossary/type-i-error-false-positive/): When you have a statistically significant A/B test and launch the treatment, the False Positive Risk \(FPR\) provides an estimate that you are making a mistake if your goal was to launch a statistically significant improvement\. The FPR is the probability that a statistically significant result is a false positive; that is, the true effect is consistent with the null hypothesis, given our sample size\. A very common misunderstanding is that the p\-value is this probability, but FPR needs to be computed using Bayes Rules, and in domains with low experiment success rate of 10\-20%, it can be \4 to 5 times higher than the p\-value\\. To reduce the FPR, lower alpha, the p\-value threshold for statistical significance \(e\.g\., from 0\.05 to 0\.005\), as recommended \in this paper by 72 leading authors\\. Because lowering alpha increases false negatives, replicate A/B tests with borderline p\-values and combine the results from the \replications using meta\-analysis techniques\\. - [UTM Parameters](https://www.convert.com/glossary/utm-parameters/): We find that UTM tracking remains an effective method for tracking specific inbound campaign performance across different channels, mediums, and experiments\. UTM tracking is particularly helpful for segmenting data when running experiments, as it allows us to produce stronger, more granular insights that may involve different messaging, promotions, or experiences being served to users\. However, we are mindful of the limitations of UTM tracking in recent years, especially as privacy regulations have become much stricter\. Therefore, we favor an agnostic approach to tracking and attribution that includes UTM tracking alongside data modeling techniques and server\-side tagging\. - [Inconclusive Results](https://www.convert.com/glossary/inconclusive-results/): When a test has no KPIs that have reached confidence, the test is considered inconclusive\. When metrics don't reach confidence, you don't know how the test will behave in the wild if you roll it out\. It could have a positive effect, it could have a negative effect, or it could do nothing\. At best, this means your customers were ambivalent about the changes; at worst, the changes were too small for customers to notice\. When you have inconclusive results, the best thing to do is to review the qualitative data to try and determine why customers reacted the way they did, iterate based on their feedback, and retest\. If tests are inconclusive due to low traffic, then you need to expand the test audience and re\-run\. - [Segmentation](https://www.convert.com/glossary/segmentation/): Segmentation helps you speak the same language as your customers\. Your messaging and campaigns will resonate better if you group customers by similar attributes, characteristics, behaviors, and needs\. You can split your customers into segments based on attributes such as acquisition channel, time zone, or Recency, Frequency, and Monetary Value \(RFM\.\) But you should choose segments that are relevant and actionable\. Showing sandals to people in warmer regions makes sense if you sell shoes\. But if you sell software, weather is less relevant than job seniority or company size\. Start by thinking about how you'll gather customer data, and then prioritize your initiatives based on segment size and value\. Segmentation is also essential in the post\-test analysis to help you get deeper insights\. For example, test metrics segmented by new vs\. returning users, desktop vs\. mobile, android vs\. iOS\. - [Code Editors](https://www.convert.com/glossary/code-editors/): To get the most out of your CRO program, you'll want to use Code Editor\. The WYSIWYG\-style visual editor is a good way to get started with relatively simple changes like headline tests\. For experiments beyond those basic surface\-level adjustments, you need a code editor\. Most experienced teams and reputable CRO agencies will use code editors even for basic tests\. It gives you control of the variations in a way that the visual editor doesn't\. Developers can directly manipulate JavaScript, HTML, and CSS elements with code editors, allowing them to run more sophisticated experiments\. A major benefit is code quality and debugging\. Using code editors reduces the risk of technical issues, which can degrade user experience and negatively impact test results\. Developers can implement proper code reviews and approvals\. Convert's code editor also helps you catch errors early and test variations properly before going live\. ## Blog Categories - [Optimization](https://www.convert.com/blog/category/optimization/) - [Growth Marketing](https://www.convert.com/blog/category/growth-marketing/) - [A/B Testing](https://www.convert.com/blog/category/a-b-testing/) - [Privacy](https://www.convert.com/blog/category/privacy/) - [Business Strategy](https://www.convert.com/blog/category/business-strategy/) ## Revisers - [Sneh Ratna Choudhary](https://www.convert.com/post_revisers/sneh-ratna-choudhary/) ## Fact Checkers - [Karim Naufal](https://www.convert.com/post_fact_checkers/karim/) - [Poonam](https://www.convert.com/post_fact_checkers/poonam/) - [Marcella Sullivan](https://www.convert.com/post_fact_checkers/marcella-sullivan/) - [Ahmed](https://www.convert.com/post_fact_checkers/ahmed/) - [Carmen Apostu](https://www.convert.com/post_fact_checkers/carmen-apostu/) ## Optional - [Sitemap index](https://www.convert.com/sitemap_index.xml)