Optimize With Every Click

Data-backed experiments that boost performance.

Unlock the Potential of B2B eCommerce

Data is the bedrock of successful eCommerce. Our A/B Testing service uses real user behavior to refine design elements, site layouts, and functionalities. By running controlled experiments, we help you lower bounce rates, make Data-Driven Decisions, and continuously shape a customer-centric platform that fosters Buyer Satisfaction and Strengthens Relationships.

Key Benefits of Our A/B Testing Service

Variation Test

Identify the variations that resonate most with your audience, improving usability.

Get Higher Checkouts

Uncover what drives higher checkout completion and revenue growth.

Eliminate Pain Points

Pinpoint and eliminate pain points before they lead to customer complaints.

Enhance Efficiency

Focus on changes that truly make an impact, minimizing guesswork.

Customer Value

Show customers you value their experience by evolving based on their feedback.

Ready to fine-tune your B2B eCommerce platform using real-world data?

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Why Choose Our A/B Testing Solutions?

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Data Over Opinions

We test assumptions instead of guessing, letting real customer behavior guide design and marketing decisions.

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Structured Experiment Design

Every test has a clear hypothesis, metrics, and timeline—so results are reliable, not random.

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Incremental Revenue Growth

Small tweaks in headlines, layouts, or CTAs often unlock big gains—we uncover those hidden opportunities.

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Full-Funnel Testing

From ads to checkout pages, we run experiments across the customer journey, not just on landing pages.

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Continuous Learning Loop

Each test feeds insights into the next, creating a cycle of ongoing optimization and compounding results.

Frequently Asked Questions

In B2B eCommerce, useful test ideas include product detail page layouts, CTA button placement, quote request forms, pricing display formats for bulk orders, navigation for large catalogs, checkout flows with purchase order options, and even post-purchase confirmation messages. Each of these areas directly influences buyer confidence and conversion rates.
Running a B2B A/B test starts with forming a clear hypothesis—for example, “shortening the quote form will increase submissions.” You then create two versions of the page (A = original, B = variation), split traffic between them, and measure results against agreed metrics such as completed forms, cart checkouts, or repeat order clicks. The key is to let the test run long enough to collect reliable data.
A/B testing, also called split testing, is a method of comparing two versions of a page, feature, or design element to see which performs better. In a B2B eCommerce context, it might mean testing two different designs of a product catalog page to determine which one helps buyers place larger or more frequent orders.
A/B testing focuses on changing a single element—like the placement of a “Request a Quote” button—while multivariate testing changes multiple elements at once, such as headline, button color, and image. Because B2B sites often have lower traffic, A/B testing is usually more practical, while multivariate requires larger sample sizes to achieve statistical reliability.
Common elements include headlines on product or landing pages, call-to-action buttons, product images or videos, pricing and discount structures, form length and fields, and page layouts. In B2B eCommerce, testing features like reorder functionality, account dashboards, or payment term options can also deliver big improvements in buyer experience.
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Ready to Accelerate your Business?

Partner with Reveation Labs today and let’s turn your business goals into tangible success. Get in touch with us to discover how we can help you.

Schedule a call with us today!