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.

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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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Privacy 21 Nov, 2025

AI in A/B Testing: The Marketer’s Guide to Experiments that Design Themselves (And Still Respect Privacy)

By Dionysia Kontotasiou

Remember when A/B testing meant waiting weeks to find out your brilliant idea tanked? Now we’ve got agents generating variants in minutes and algorithms that predict, personalize, and optimize every step of the user journey. AI-driven experimentation is giving optimizers unprecedented speed and insight. Yet with great data power comes...

Privacy 07 Mar, 2023

An Overview of GA4’s New Privacy Features (And Their Impact On Testing)

By Dionysia Kontotasiou

It's shaping up to be a rocky road for Google users this year, with Google Optimize sunsetting and GA4 replacing Universal Analytics. And let's be real, it's no surprise that more and more testers are jumping ship to alternative tools. But, before you follow suit and kiss GA4 goodbye, let...

Privacy 12 Jul, 2022

Connecticut Data Privacy Act: How We Make Sure Convert Remains Compliant

By Dionysia Kontotasiou

With the introduction of Connecticut SB 6, commonly referred to as the Connecticut Data Privacy Act or “CTDPA”, Connecticut has joined the ranks of US states like California, Virginia, Colorado, Nevada and Utah that have passed comprehensive privacy laws to protect individuals' personal information. Despite privacy and data security regulations...

Privacy 30 May, 2022

Utah: Another State to Pass a Data Privacy Law, the UCPA

By Dionysia Kontotasiou

In March of 2022, Utah Governor Spencer J. Cox signed into law the Senate Bill (SB) 227, also known as the Utah Consumer Privacy Act (UCPA). The UCPA is a cross-industry privacy law that gives Utah consumers significant privacy rights over their personal information. Any data connected to an identified...

Privacy 26 Apr, 2022

How to Choose a Privacy Compliant A/B Testing Tool (Our Guide for German Optimizers)

By Dionysia Kontotasiou

Consumers are gaining more awareness and control around their personal information, as privacy laws come into force worldwide. The EU, for example, passed the landmark General Data Protection Regulation (GDPR) in 2018, to tighten data privacy regulations and California enforced the California Consumer Privacy Act (CCPA) in 2020. A/B testing...

Privacy 23 Feb, 2022

Goodbye Google FLoC, Hello Topics and FLEDGE

By Dionysia Kontotasiou

What is FloC? In August 2019, Google announced a new initiative, the Privacy Sandbox, to make the web more private for users. And the heart of that initiative carried the idea of killing third-party cookies. Many marketers feared that this could destroy online advertising, or at least the present-day advertising....

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Articles are backed up by practical, real-world examples and vetted by industry experts, so new pieces are always relevant with the most up-to-date information. It is one of my go-to sources for CRO focused content!

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Founder & CEO, CorvusCRO

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Digital Marketing Consultant and strategist

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

Our Editorial Promise

Blog Posts

AI in A/B Testing: The Marketer’s Guide to Experiments that Design Themselves (And Still Respect Privacy)

An Overview of GA4’s New Privacy Features (And Their Impact On Testing)

Connecticut Data Privacy Act: How We Make Sure Convert Remains Compliant

Utah: Another State to Pass a Data Privacy Law, the UCPA

How to Choose a Privacy Compliant A/B Testing Tool (Our Guide for German Optimizers)

Goodbye Google FLoC, Hello Topics and FLEDGE

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