Split Testing
Structured A/B test programs that compound.
Tests designed from real user behavior, not gut feel. Every test builds on the last, so your knowledge compounds and your lift accelerates.
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What is Split Testing?
Most A/B testing programs fail for the same reason: they test random ideas and call it a strategy. BGS Split Testing is the opposite — every test is grounded in behavioral analytics, heatmaps, session recordings, and funnel data.
We design test programs the way scientists design experiments: with a clear hypothesis, a documented expected outcome, and a defined way to know we were wrong. That's how you actually learn.
The result is a testing engine where winners stack on top of each other and your conversion rate moves up and to the right, not in random spikes.
The deliverables.
Behavioral Research First
Heatmaps, scroll maps, session recordings, and on-site surveys. We find the real problems before we propose solutions.
Hypothesis-Driven Test Design
Every test starts with 'we believe X because Y, and we'll know we're right if Z.' No 'let's just try this.'
Statistical Rigor
Tests run to proper significance, with sample-size pre-calcs. No calling winners on day three.
Documented Learning Library
Every test result captured — winners, losers, learnings. Your team owns it forever.
Winner Deployment + QA
When something wins, we ship it cleanly across devices and browsers.
Iteration On Winners
A win is the start of a question, not the end. We push winning patterns until they stop winning.
The process.
Audit & Hypothesis Generation
We pull behavioral data and identify the highest-leverage friction points. Each becomes a testable hypothesis.
Prioritization
Hypotheses get RICE-scored. We start with the ones most likely to move the needle for the least build effort.
Build, QA, Launch
Tests built to spec, QA'd across the major browsers and devices, launched to a clean traffic split.
Analyze & Decide
Read the data honestly. Ship the winner, document the loser, design the next test from what we learned.
Is this right for you?
A Strong Fit If
- Have enough traffic to run statistically valid tests (~10k+ monthly sessions on the pages you're testing)
- Want a structured program, not random optimization
- Care about why something worked, not just that it did
- Have a goal — paid media efficiency, AOV lift, checkout completion, etc.
Probably Not If
- Low-traffic stores where tests will never reach significance
- Want a 'tip sheet' of best practices applied without testing
- Not willing to lose tests (testing means losing sometimes — that's the point)
Went from 3.87% to 7.26% conversion rate. That's a 640% improvement in revenue per visitor.
Not sure where to start?
We'll diagnose it.
Book a free 30-minute Revenue Optimization Audit. We'll look at your store, tell you exactly what's holding it back, and show you where the biggest lever is.