What are tested users?

Tested users are the number of site visitors participating in A/B tests you have running on the Convert Experiences platform. Let’s break down how we count users. The people who come to your site are termed as your site visitors . Not all site visitors though are Convert app tested users . Users are specifically the people who are bucketed into tests that you have running on your site. In counting users, we do one key thing. We disregard overlaps . So if there are 100,000 site visitors who see Test #1, and another 100,000 visitors who see Test #2… the total app tested users will be: 200,000 people if the two sample sizes (of 100,000 each) have no overlaps. That means no one person has seen both tests. Less than 200,000 if the two sample sizes (of 100,000 each) have overlaps. If both sample sizes have 50,000 people who are unique to one test and 50,000 people who have seen both tests, then the tested users count will be 150,000. Tested users count is thus the same as (or less than) your website’s total unique site visitors, depending on how you choose to bucket your visitors into tests. This method of counting unique users replaces the older (pre April 2020) counting of unique tested visitors which took overlaps into consideration and gave a net tested visitors count based on all the visitors to each test.

Does Convert Experiences apply sampling?

No. Convert Experiences reports are based on unsampled data. This means our stats engines consider all the data collected by your set-up to call winners, thereby bypassing the issue introduced by most digital analytics platforms.

Does Convert Experiences allow server side testing?

Convert Experiences started out as a client-side A/B testing tool . But over the years we have received multiple requests from users who would like to include server-side testing to their optimization mix. As a result we do support server-side A/B testing through the manual creation of a Convert custom cookie which can determine Experiment ID/Variation ID, and programmatically assign it to website visitors.

How well does Convert Experiences work with Single Page Applications (SPA)?

In the standard format Convert Experiences takes note of the URLs website visitors navigate to trigger experiments (and goals). But with Single Page Applications (SPAs), this is not the case. Thus SPAs have to be handled differently. Our tool is capable of doing that. We use custom code to start polling for both when an experiment should be triggered on a page, and when a goal should be fired. We have detailed documentation in our support repository to walk users through this process for various SPAs like React/Redux and Angular.

How can you track revenue/transactions for eCommerce stores using Convert Experiences?

Convert Experiences has robust revenue tracking and it is privacy friendly as well. If you have the latest version of Google Analytics ecommerce tracking running on your store and the Convert tracking code is duly added after the tag, then we automatically connect revenue tracking to your experiments. You can also set up a revenue goal manually, count multiple transactions per customer, and track revenue attributed to actions that are not accompanied by URL changes.

Will my page load speed be impacted by the installation of Convert Experiences tracking code?

Convert Experiences is one of the fastest loading A/B testing tools in the optimization space. Through the use of our patent-pending SmartInsert™ Technology, we can offer you the advantage of fast loading time, and no flashing. Learn more here .

Do I need to ask consent from site visitors before testing with Convert Experiences?

No As long as you use Convert Experiences in its default setting, you do not need to ask consent from your website visitors and browsers. This is because we don’t store any personal data in the default, and use only first party cookies. If however you need to target audiences by city, or enable cross domain linking, you will see in-app GDPR warnings that are designed to let you test to your fullest potential while staying on the safe side of privacy.

What are must-have features for an A/B testing tool?

An A/B testing tool is obviously a key part of any conversion rate optimization drive. In recent times though there has been a definite shift in the way leaders, businesses and experts perceive optimization & experimentation. The discipline of CRO is no longer restricted to only conversion rates. The sentiment is swaying towards: Customer Experience Optimization (CXO). Learning from smaller experiment wins in the short term to benefit in the long haul Leveraging testing to mitigate risks in decisions across web design, revenue generation, product development, and Ops. “Recruiting” experimentation champions not just in the C-suite but across the entire organization, and doing this in an organized way. These shifts prove that even though experimentation & A/B testing are a rigorous science, the success of experiments largely rely on people and the extent to which a culture of experimentation is inculcated in them. Do they obsess over a few lifts in the present or do they get the value of being truly experiment driven for robust decision-making and a more mature, sustainable business model? How this is achieved is going to be unique to an organization and not defined by “tools”. Hence A/B testing tools should first and foremost provide flexibility, reliability, and support. These vendors too should have a culture of putting people (users) first over constant, forced price upgrades, the bureaucracy of gated pricing, and the tendency to tier important features like APl access, integrations, QA by exorbitantly priced anual plans. Want to learn more about the culture at Convert? Come meet our team.

Convert Blog: Learn A/B Testing, Optimization & Marketing

Latest Blog Post on Convert

Growth Marketing

The Complete Guide to Optimizing Your Content For AI Search (Getting Recommended by GenAI & Making Your Way Into Coveted AI Overviews)

You’re not just optimizing for Google anymore. Large language models like ChatGPT, Claude, and Gemini are the new gatekeepers of online discovery. These AI-powered search engines often surface answers and shape buyer journeys within their interfaces, but they also direct traffic to websites they deem authoritative. The numbers are hard to ignore: Plausible Analytics reported…

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The Complete Guide to Optimizing Your Content For AI Search

Our Editorial Promise

We solemnly promise that each bit of content you read here
is thoughtfully curated or crafted by a human, for a human. We spend hundreds of hours every month speaking to experts with decades of experience. Our blogs are more a journalistic report on the state of experimentation than a single perspective article. Enjoy!

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A/B Testing 18 May, 2026

How Slow Devices Pollute Your A/B Tests (And How to Diagnose It)

By Uwemedimo Usa and Ahmed

When you run A/B tests, you most likely have your tool firing its script in one place and Google Analytics firing in another. Very rarely do both tools agree on how many people saw your test. This disagreement usually reads as a small, annoying thing you learn to ignore. Until...

Optimization 14 May, 2026

Testing Mind Map Series: How to Think Like a CRO Pro (Part 91)

By Dzifa Mensah

Interview with Dzifa Mensah There's the experimentation everyone talks about. And then there's how it actually happens. We’re hunting for signals in the noise to bring you conversations with people who live in the data. The ones who obsess over test design and know how to secure buy-in even when...

AI 11 May, 2026

Solving the Fragility of Redirect Tests with AI-Driven Regex Automation

By Iqbal Ali

I’m going to be honest: I’m not a huge fan of redirect tests. It's tough maintaining data integrity in those things. I’m specifically talking about client-side redirect tests, by the way. Server-side redirect tests are fine. Redirect tests are when you have a page (e.g. /my-original-page) and want some of...

AI 07 May, 2026

Unrestricted MCP Access is Risky. Here’s How to Turn It into a Secure, Efficient n8n Workflow

By Iqbal Ali

Part of the Small Models series: This article explores one way to interact with the Convert MCP server. It’s an advanced use case for those who want to experiment with small, cost-efficient, and secure models and alternative tooling.

A/B Testing 06 May, 2026

Brand Statsig Moves from OpenAI to Amplitude: All Hail Experimentation Capability!

By Convert Team

This is team Convert’s take on what the shift means. Disclaimer: Convert Experiences is an A/B testing and 1:1 personalization platform that’s been in the experimentation space for 16 years. 5th May 2026, the Official Release Drops Amplitude’s Spencer Skates broke the internet with the declaration. Amplitude is entering into...

A/B Testing 06 May, 2026

Tips to Set Up Winning Split URL Tests (and Some Common Mistakes to Avoid) in 2026

By Dionysia Kontotasiou

If you’ve run experiments before, you’ve probably encountered situations where an A/B test isn’t the right technique. Not because the hypothesis is wrong, but because the change you want to test is too big to build inside an editor. In cases like this, split URL testing (or redirect testing) can...

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