Convert Convert offers a wide
Posted: Sun Dec 22, 2024 6:55 am
quite advanced set of features for conducting web India Mailing List experiments on your website. Convert allows you to flexibly configure experiments and create complex tests. In addition to regular A/B tests, split tests are supported, which can be conducted on several pages at once. Convert provides an outstanding level of test configurability. You can define the statistical parameters of each experiment depending on your needs.
This is especially useful when you’re running a complex split test across different pages with different audience types. If you’re an experienced marketer , Convert can be a great tool that gives you a lot of freedom to experiment with your landing pages. However, for smaller businesses looking for a simple alternative to Google Optimize to run simple A/B tests, this tool can be overwhelming.
Pricing: Convert starts at $99 per month.
Optimizely
Optimizely is another A/B testing tool that many companies use to run large-scale experiments online. It has an impressive set of features that allow you to run and customize experiments with great flexibility. For example, you can use exclusion groups to run multiple experiments on the same page, but only expose a user to one experiment at a time.
This is especially useful when you’re running a complex split test across different pages with different audience types. If you’re an experienced marketer , Convert can be a great tool that gives you a lot of freedom to experiment with your landing pages. However, for smaller businesses looking for a simple alternative to Google Optimize to run simple A/B tests, this tool can be overwhelming.
Pricing: Convert starts at $99 per month.
Optimizely
Optimizely is another A/B testing tool that many companies use to run large-scale experiments online. It has an impressive set of features that allow you to run and customize experiments with great flexibility. For example, you can use exclusion groups to run multiple experiments on the same page, but only expose a user to one experiment at a time.