Convert - the practical guide.

Convert allows you to run A/B tests, split tests, multivariate tests (MVT), and multipage funnels without needing to write code for each variant. You can create different versions of your web pages using their visual editor, a Google Docs-style interface that lets you drag, drop, and edit elements directly on your site. This means marketing teams can quickly set up and launch experiments without constantly relying on development resources. It also integrates with popular analytics platforms like Google Analytics and Adobe Analytics, so you can see the impact of your tests within your existing data infrastructure.

Beyond basic A/B testing, Convert provides advanced features for more sophisticated experimentation. You can segment your audience based on various criteria, such as new vs. returning visitors, geographic location, or specific user behaviours, to ensure your tests are targeting the right people. Its statistical engine uses Bayesian or Frequentist methods, providing flexibility depending on your team's preference for test confidence and speed. This allows for more granular control over your experiments and helps ensure the data you collect is reliable and actionable, informing product and marketing decisions.

Convert sits within the ‘optimisation stack’ as a dedicated experimentation tool. It doesn't try to be an all-in-one marketing platform; instead, it focuses on doing one thing very well: website and app experimentation. This means it integrates seamlessly with other tools you’re likely already using, such as your CRM, analytics platforms, and heatmapping software. The goal is to provide a comprehensive view of how your experiments are performing across your entire digital ecosystem, rather than forcing you into a closed system. It’s a specialist tool designed to complement, not replace, your existing MarTech.

Convert’s strong suit is its client-side and server-side testing capabilities. For marketers focused on quick wins and front-end changes, the visual editor and client-side testing are perfect. For product teams looking to test more fundamental changes without performance overhead, or for highly sensitive data, the server-side option is a powerful differentiator. This flexibility means Convert can cater to a broader range of testing needs within an organisation, from simple headline tests to complex algorithm changes.

Convert is ideal for mid-sized to large e-commerce businesses, SaaS companies, and digital agencies that are serious about conversion rate optimisation (CRO). It’s particularly well-suited for teams with a dedicated CRO specialist, product manager, or marketing operations manager who runs regular experiments. The platform scales well, so it can support businesses with significant traffic volumes and a high cadence of testing. It’s less for small businesses just starting out with their first website, unless they have a clear understanding of testing methodology and a specific need for robust experimentation. The goal for users is typically to increase conversion rates, improve user experience, and validate product changes with data.

Convert offers tiered pricing, broadly categorised by monthly unique visitors (MUVs) to your website. Their plans, such as "Basic" and "Pro", start from around $499 per month for fewer MUVs and can go up significantly for higher traffic volumes – easily reaching several thousand dollars monthly for larger enterprises. The main driver of the bill is always the volume of unique visitors you send through the experiments. While there isn't a free tier for ongoing use, they do typically offer a free 15-day trial to test out the platform’s capabilities. This allows teams to assess its suitability before committing to a subscription, which is helpful given the investment required. Be sure to understand your traffic volumes accurately to avoid unexpected costs.

Convert is the right choice if your team already has a basic understanding of A/B testing principles and you’re looking to scale up your experimentation efforts. It’s excellent for businesses that need both visual editor capabilities for marketing-led tests and server-side options for product-led experiments. If you’re already using Google Analytics or Adobe Analytics, its integrations will be a strong plus. It is not the right fit if you’re looking for a free or very low-cost entry point into A/B testing – for that, Google Optimize (before its deprecation) or even basic Google Analytics experiments were better. If you need a full marketing automation suite that *includes* A/B testing, tools like Optimizely Web Experimentation or VWO might be more comprehensive, though often at a higher price point.

The main watch-out with Convert is the cost; it