A/B Testing & Experimentation

You want to make changes and updates to your site, but you’re not sure where to start? Or, you want to add new features and functionality but you don’t want to break what’s already helping visitors convert? Wait, do we even know exactly what’s working?

Illustration of A/B testing results showing variant A at 72% and B at 22%.

More than 230+ Shopify stores optimized

LifePro company logo
$1.35M
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Rev Increase
DERMACLARA brand logo
+30%
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CVR Increase
Figgy brand logo
+23%
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Rev Per User
EVERGREEN brand logo in green
+15%
Graph image used in homepage slider
CVR Increase
LifePro company logo
$1.35M
Graph image used in homepage slider
Rev Increase
DERMACLARA brand logo
+30%
Graph image used in homepage slider
CVR Increase
Figgy brand logo
+23%
Graph image used in homepage slider
Rev Per User
EVERGREEN brand logo in green
+15%
Graph image used in homepage slider
CVR Increase

Enter A/B Testing & Experimentation. This program allows businesses to strategically execute new changes and functionality to their site by only implementing things that actually increase conversions and revenue. The phrases “guess and check” or “spray and spray” will no longer be needed.

SOLUTIONS

Pain Points Addressed

We can help push your business past these roadblocks to sustained, game-changing growth. To do this, we’ll help identify your obstacles. These could include:

The risk of hurting revenue by removing site features that visitors actually love

Ending up with so many different elements on your site that you no longer have any idea what works and what’s hurting your conversion rate.

Slowly rolling out new promotions to select audiences to see if people are interested before you completely change your operations and find out you went in the wrong direction.

Strategically making changes on your site that only increase your KPIs

KPIs measured for success

This list isn’t meant to be all inclusive, but most A/B Testing and Experimentation programs measure and track objective figures on the website and measure statistical significance based on quantifiable results.

Purchase

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Revenue

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Profit

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Profit

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Engagement

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Profit

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Profit

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

AOV

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Conversion Funnel Matriculatio

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

Cart Abandonment

Tracking purchases helps us understand overall sales performance and customer buying behavior. By analyzing purchase trends, we identify opportunities to optimize the user journey, reduce friction, and drive more completed transactions. Our goal is to turn more visitors into paying customers by improving the shopping experience and addressing any barriers to purchase.

HOW IT WORKS

How It Works: A Simple Path to Better Conversions

A proven process for quickly reaching positive ROI and then transitioning into a consistent conversion optimization ideation and implementation system for sustainable long-term profit and growth.

A

We can incorporate with any in-house experimentation program at any maturity level. Typically, we start by meeting with your team and addressing your business and program objectives, internal pain points, growth strategy, and niche/value propositions.

B

After program kick-off our first A/B tests typically start within the first 2 weeks of engagement.

WHAT YOU GET

What’s Included

New Test Design

We identify key opportunities and design strategic A/B or multivariate tests based on user behavior, business goals, and proven CRO principles.

Test Development

Our developers bring the test to life with clean, conversion-ready code—seamlessly integrated into your site without disrupting the user experience.

A/B testing software and analytics analysis

We manage setup and execution using industry-standard tools, then analyze results with a deep focus on statistical significance and actionable insights.

Results Presentation

You’ll receive a clear, concise summary of what worked (and why), along with next steps and recommendations to keep your growth engine running.

RISK & GROWTH

Answers to frequently asked questions

A proven process for quickly reaching positive ROI and then transitioning into a consistent conversion optimization ideation and implementation system for sustainable long-term profit and growth. 

What is A/B testing?

A/B testing is a method of comparing two versions of a webpage or app to see which performs better in terms of a specific goal (e.g., conversions, clicks, sign-ups).

What is NOT A/B testing?

A/B testing is not launching a bunch of changes on your site, and comparing the performance to the past performance of the site. Technically, you are “testing”, but this is not what is meant by A/B testing.

How long should A/B testing and Experimentation last?

Ideally, your A/B testing and Experimentation programs should be an ongoing process that you incorporate into your company culture. However, A/B testing can be performed on an ad hoc basis as needed.

What are the most common pitfalls of A/B testing?

Not allowing your test to reach statistical significance.
Not having enough traffic, or too small of a sample size can lead to inaccurate results or false conclusions.
Testing more than hypothesis at a time.