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Your A/B Test Development Team

BrillMark has a team of professional A/B Test development experts with years of experience building A/B Testing, Multivariate Testing, Personalization experiments, revenue-increasing activities, and other complicated tests across any device (mobile, desktop, tablet), using the platforms like Google Optimize, Optimizely, VWO, Convert Experiences, AB tasty, Kameleoon and many more.

Our Clientele

Meet a few of the brands who trust us:

OUR SERVICES

A/B ‘Split’ Testing

We specialize in A/B test design, programming, and QA. We take pride in our ability to write tests quickly yet methodically, and our knowledge extends beyond the testing platform itself.

AB Testing - Hire A/B Test Developer
Multivariate Testing - Hire A/B Test Developer

Multivariate Testing

Multivariate testing is more sophisticated and has the potential to be more beneficial than split testing. These tests must be properly executed to obtain reliable data and draw appropriate conclusions, and as always our team has you covered.

Hotjar Integration

While split testing and heatmaps are complementary, tracking heatmap data at the variation level needs additional setup and development. As a result, we offer integration of the popular heatmap suite Hotjar.

Hotjar Integration - Hire A/B Test Developer
API Based Testing - Hire A/B Test Developer

API Based Testing

Developing API-based testing is a breeze for us. It doesn’t matter if you need to get data from an AWS or an internal service; we have you covered.

Testing Platform Setup

Setting up a new testing platform may look straightforward, but shoddy installation might result in inaccurate testing results. There are two ways to deploy: directly or via tag management.
Testing Platform Setup - Hire A/B Test Developer
Marketing Platform Integration - Hire A/B Test Developer

Marketing Platform Integration

Overlooking the importance of integrating marketing tools like Marketo, Hubspot, or Clearbit with testing platforms like A/B testing is one of the mistakes we see often. We can save you the trouble of tying all of your social media accounts together, which will ultimately help you save both time and money.

Tag Creation & Management

Setting up tags to monitor goals and trigger events is common in testing development. We’ve used a variety of tag management systems and, we know how crucial they are to ensure accurate testing findings.

Tag Creation & Management - Hire A/B Test Developer
CRO Analytics - Hire A/B Test Developer

CRO Analytics

While we strive to create and execute reliable tests, we recognize that each platform records and shows findings differently. We’ll gladly assist you in making extra reports to find the specific data and insights you want.

Why Choose BrillMark

Discovery

We like to start our process with an audit to evaluate improvement plans against the control plan. Usually, your in-house team or a CRO agency will perform the audit itself. Performing audits is not in our usual scope of work but our team members have the necessary knowledge so if neither of the options mentioned above is available we can assist with the audit as well. Once the criteria for testing are set in place our development team will take over and start building the tests.

Technical Design

Our job begins when you decide on the website experiment’s needs and parameters. Our specialists will create a technical specification for the test, estimate the needed hours, and send over a quote for your approval.

Development & QA

Once the technical specification is confirmed, our team will construct the test locally, migrate it to your preferred testing platform, and apply the platform-specific parameters. The created test is then given to our quality assurance department for a thorough examination and finally to you for final approval.

Deployment

Once you’ve accepted the produced test, it’s ready to go live. We will actively monitor the tests for the first 24–48 hours to verify they run as planned and that all goals and metrics are monitored and tracked accurately.

Need help with A/B test development?

Feel free to send us your Shopify Development queries & requirement by simply clicking the Get in Touch with Us button.

FAQs

A/B testing, often known as split testing, is a marketing experiment in which two versions of a campaign or piece of content are tested on your audience to see which one performs better. In other words, a portion of your website visitors will see version A, while others will see version B, and we will then compare those results and implement the version which performed better.

A/B testing may be used for a lot more than just determining how changes will affect your conversions in the short term. Testing, when done regularly and consistently, can improve your user’s entire experience while also increasing your conversion rates. A/B testing is a method of retaining customers on a website or app for longer lengths of time by using a combination of components.

Every time you run an A/B test and use the results to make educated decisions in regards to your future content and campaigns you’re improving your content in a way that’s proven to increase engagement. You can use A/B testing to see which types of content convert website visitors into buyers. It’s quite simple to see what works and what doesn’t using this marketing strategy. Moreover A/B Testing will bring significant changes in your bounce rates . Do you A/B Test with Brillmark now!

Any business’s website serves as a vital marketing, communication, and an outreach tool. Whether you’re a small  or large business, your website is often the first thing  people notice about your company.  Making website changes is not a easy task. Bringing same or more traffic in site after change is also a matter of confusion to us. Beside this if the traffic falls for any website than its also the biggest challenge to bring back the audiences. 

A/B Testing can help you to recover all this situation.

A/B testing is used to outline an issue, uncover numerous potential solutions, test them with real users, and finally choose the best one. It’s methodical strategy with well defined objectives. The particular nature of the test varies depending on the product or service you’re working on, but the basic pattern remains consistent. A/B testing can be used to test new features on a website or to improve the client experience by addressing existing issues.. The outcomes of A/B tests  act as social proof, providing you with valuable feedback on your efforts.

A/B testing, also known as split testing, is a randomized experimentation process in which two or more versions of a variable (web page, page element, etc.) are shown to different segments of website visitors at the same time to see which version has the greatest impact and drives the most business metrics.

A/B testing, in essence, removes all of the guesswork from website optimization and allows experienced optimizers to make data-driven judgments. The ‘control’ or original testing variable is referred to as A in A/B testing. ‘Variation,’ or a new version of the original testing variable, is denoted by B. Each website’s conversion stats are different . For example, in the case of eCommerce, it may be the product sales., in other cases, it may be the creation of qualified leads for B2B companies.

Data and statistics are used in A/B testing to validate new design modifications and enhance conversion rates. As a Web developer, you must keep certain things in mind, such as the reason you were recruited and the client’s budget. Your work must be able to speak for itself. It’s easier to rationalize spending if your job is superior and the client is happy with the results.

You can use ongoing A/B testing, conversion rate reporting, and optimizations in your projects as a web developer or web development agency. Here are some simple approaches to quantifying the value of your work to a client. It is usually easier for someone to believe that merely performing the test once will provide them with the desired results. Of course, past results will offer you a better indication of what to expect in the future, but past results are typically forgotten. As A/B Testing has those important aspects to the development of a website Hire an A/B Test developer is mandatory.

A/B Testing Outsourcing is delegating all of your testing to a company that specializes in website testing and conversion rate optimization. They’ll take care of everything for you, from developing test strategies and concepts to designing, implementing, and analyzing tests. This is a good alternative if you’re new to website testing and don’t have a lot of internal resources to assist you run a successful program. Because the agency supplies the essential testing responsibilities and experience, it is usually a lot faster way to acquire better findings (for example test managers, test strategists, test developers and designers, project managers).

Stopping A/B tests too soon is without a doubt one of the most commonA/B testing errors. A/B test may not provide accurate results if you finish experiments too quickly. Even worse e, because your decisions are based on erroneous data, they may have a detrimental influence on your conversion rates.

When your A/B Testing software tells you that your variant has an X% probability of defeating the control, it’s actually referring to the statistical significance level. Another approach to look at the same data is to say that there’s a 5% (1 in 20) possibility the outcome you see is purely random, or that the difference in conversion measured between your control and variation is fictional. You should aim for a minimum of 95% – no less.

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“You might be wondering why should I understand statistics in order to conduct A/B testing?” Especially since the testing engine provides you with enough data to make a decision on the test’s statistical significance, correct?

If you’re running A/B testing, you’ll need a basic understanding of statistics to ensure that your tests and results are valid.

Nobody wants to waste their time, money, and effort on something that will ultimately be ineffective. You first need to understand both what exactly A/B testing and data that surrounds it, only then can you apply it efficiently and effectively.

A/B testing, like any other sort of scientific testing, is essentially statistical hypothesis testing, or statistical inference. It’s an analytical decision-making method that uses sample statistics to estimate population parameters.

The population refers to the total number of visits to your website (or a specifcset of pages), whereas the sample refers to the number of people that took part in the test.

Let’s imagine you decide to make a modification to your product pages based on the results of an A/B test that tested a “sample” of your website’s users. In the end, just a small percentage of visitors viewed the challenger, which suggests that not all of your visitors actually . With A/B testing, on the other hand, you assume that if the challenger (i.e. variation) will have the same effect on all visitors to your product pages.

Hypothesis is the assumption of population parameter or numerical values. In statistics, your hypothesis is broken down into the following components:

Null Hypothesis

Alternative Hypothesis

The null hypothesis specifies the default position to be tested, or the current (assumed) situation, i.e. the status quo.

The alternative hypothesis is a theory that the researcher (you) considers to be true and challenges the status quo (the null hypothesis). The alternative hypothesis is the one you hope your A/B test will show to be correct.

Companies, regardless of the industry, face not meeting their business goals. B2B companies are dissatisfied with the number of qualified  leads they receive each month, eCommerce stores are dealing with a high abandonment rate, low visitor  engagement is a problem for media and publishingcompanies. Some typical issues, such as leaks in the conversion funnel and drop-offs on the payment page, have an impact on these key conversion metrics.

When you merely want to test front-end modifications on your website, A/B testing is typically employed. Split URL testing, on the other hand, is utilized when you want to make significant modifications to an existing page, particularly in terms of design. You refuse to make any changes to the existing web page design for the sake of comparison.

 

Multivariate testing, when done correctly, can assist reduce the need for several and sequential A/B tests on a web page with comparable objectives. Concurrent testing with a larger number of variations saves time, money, and effort while allowing you to reach a conclusion as quickly as feasible.

The AGILE approach, as described in the publication “Efficient A/B Testing in Conversion Rate Optimization: The AGILE Statistical Method,” is used to run an online controlled experiment. It uses a group sequential testing approach with alpha and beta spending functions to determine efficacy and futility stopping/monitoring borders. The fact that experiments using this method can be discontinued early due to excessively favorable effects or a very low probability of a positive discovery is one of its key advantages (futility). CRO practitioners and stakeholders alike value the ability to monitor tests as they go while preserving type I error control.

The “AGILE” part refers to the fact that the approach, which is built on error-spending functions rather than fixed evaluation points, allows for a considerable deal of flexibility in monitoring data as it accumulates.

Testing removes the guesswork from website optimization and allows for data-driven decisions that change the conversation from “we think” to “we know.” You can verify that every change has a positive impact on your metrics by measuring the impact of changes on your metrics. Individuals, teams, and corporations can utilize A/B testing to make small adjustments to their user experiences while collecting data on the results. This enables them to form hypotheses and learn why particular aspects of their experiences have an impact on user behavior. In another manner, they can be proven wrong—an A/B test can show that their assumptions about the optimum experience for a specific goal are incorrect.

A/B testing provides you witht verified and trustworthy data that can’t be misunderstood. This enables you to implement changes with greater confidence because you know that those changes will produce results you want.. And, because A/B testing is a never-ending process (or it should be), your website and user experience will only improve over time.

Hire A/B Test Developer!

    A/B testing is the best way to evaluate which version of the changes you are considering is the change worth implementing. It’s also an ideal opportunity  for your business to increase and accelerate its growth based on data and cold hard facts rather than guessing. 

    A/B testing is the only method that allows you to determine what changes will be most effective with your intended audience.

    Optimizing the customer experience with A/B testing not only aids conversion optimization techniques, but also enhances content to meet conversion goals A/B testing is a part of conversion rate optimization. Each company has their own business objectives and  each website has its own goals that are used for determining whether or not the visitor has converted. CRO and A/B testing is not a “one size fits all” solution, so you should really focus on your own website, customers and business objectives in order to determine the best test for your business..It is possible that something that works well for one firm may not work well for another. “Greatest practise” is a word that CRO specialists despise since it may not be the best option for your organization in the long run.

    Your customers’ behaviour is the best source of information for evaluating your marketing and conversion initiatives. Identifying and working with the campaign’s most effective elements will make your efforts more efficient and effective.

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