A/B Testing

A/B testing as a program, not a party trick.

Ideation, prioritization, design, development, QA, analysis. Every month, compounding.

An A/B test tells you which version wins. A testing program tells you why, and what to do next. Parah Group runs the full cycle monthly: ideas from behavioral research, priorities from business impact, execution and QA in-house, and analysis tied to conversion, AOV, subscription take rate, and profit.

Trusted By
AG1
NHL
Adidas Outdoor
USA Today Sports
Chicago Tribune
Volcom
Ancient Nutrition
Medterra
1UP Nutrition
CordaRoy's
Grunt Style
StackSocial
Grab Green
Waterleaf Paper Co.
Hammitt
We The People Holsters

Why single tests disappoint and programs compound

A one-off test answers a single question and then the learning evaporates. A program builds a memory: every result, winner or loser, narrows where the next month’s biggest win is hiding. One supplement brand is the clean example. As a series of one-off ideas, their old testing produced activity. Rebuilt as a program answering to business metrics, it produced a 10 percent subscription lift and a single shipping test worth $2M in profit. Same store, same traffic, different system.

How the program runs

01

Ideation from research

Session recordings, heat maps, scroll maps, review mining, and surveys generate the hypothesis list. Never a swipe file.

02

Prioritization by impact

Expected business effect, confidence, and effort. High-traffic templates first.

03

Design and copy in-house

Variants that look and sound like your brand, so the test measures the idea, not the styling gap.

04

Development and QA

Full-time QA before and after every launch, weekly site checks, shared repositories with your developers.

05

Analysis beyond the winner

What did it do to conversion, AOV, subscription, profit?

06

Reporting without spin

A weekly scorecard where losing tests get the same detail as winners, plus what they taught us.

Tools

Platform agnostic: Intelligems and Shoplift on Shopify, plus VWO, Convert, and Nelio. We fit your stack. The one thing we decline is heavily customized Magento backends.

Proof: price elasticity tests found the points where price, volume, and revenue balance, and checkout extension tests through Intelligems produced clear wins inside a quarter.

Asked before every engagement

01How many A/B tests can we run per month? +

As many as your traffic honestly supports. We size for statistical significance, not for report padding; low-traffic pages get sequential tests or bigger swings.

02What happens when a test loses? +

It ships in the scorecard with the same detail as a winner, plus the lesson. Programs compound because losses become knowledge instead of embarrassments.

03Can you work with our existing testing tool? +

Almost certainly. If your stack runs something not listed here, we adapt to it.

04How long until the program pays for itself? +

Results typically compound across the first quarter. One client posted +20 percent conversion, +25 percent AOV, and +75 percent subscriptions within three months.

Proof, not promises

Numbers our clients said we could publish.

Full experiment logs in the case studies. Every number published with permission.

Want testing with a memory?

Run end to end, reported without spin.

Protected against spam · goes to Andrew directly