Beyond A/B Testing. The Science of Growth.
Is a 12% lift a victory or a statistical ghost? The answer is in the methodology.
Conversion Rate Optimization is often treated as a guessing game, fueled by gut feelings and misleading dashboards. But true, sustainable growth isn't found by changing button colors. It's built on a foundation of rigorous statistics, deep performance analysis, and an understanding that every test is a high-stakes experiment. A flawed test doesn't just fail to produce results; it actively misleads your strategy, costing you revenue and confidence. We replace guesswork with science.
Our Scientific Framework
01
Bayesian Testing
Frequentist methods force you to wait for a binary "significant/not significant" result. We use Bayesian analysis to calculate the actual probability that one variant outperforms another. This provides a richer understanding of risk and reward, allowing for faster, more confident decisions without sacrificing statistical rigor. It answers the question you actually care about: "What's the chance this is a good idea?"
- BETA POSTERIOR
- CREDIBLE INTERVALS
- BAYES FACTOR
- EXPECTED LOSS
02
Performance-Centric Analysis
A 47% drop-off at the payment page isn't always a design problem. Often, it's a performance problem. We go beyond traditional segmentation to analyze funnels by load time, identifying the real-world impact of third-party scripts and network latency. By optimizing the technical foundation, we often achieve conversion lifts that design changes alone never could.
- LOAD TIME TRACKING
- SEGMENT BY PERFORMANCE
- THIRD-PARTY SCRIPT IMPACT
- ASYNC OPTIMIZATION
03
Multi-Armed Bandits
Traditional A/B tests waste valuable traffic on losing variants while you wait for significance. Multi-armed bandit algorithms dynamically allocate traffic to the variants that are performing best, balancing exploration with exploitation. This minimizes "regret" and allows you to capitalize on successful tests faster, delivering measurable revenue impact sooner.
- THOMPSON SAMPLING
- DYNAMIC ALLOCATION
- REGRET MINIMIZATION
- EXPLORE-EXPLOIT
Scientific Optimization Results
9-month program. Bayesian analysis, bandit algorithms, and performance-driven insights.
Testing • Analyzing • Optimizing
Confident Decisions
Variant B showed an 87% probability of beating the control, with a quantifiable expected loss of only 0.3% if wrong. This Bayesian clarity allowed us to make a confident decision, while a traditional p-value of 0.051 would have led to uncertainty.
Performance Wins
By identifying a 3.2s payment gateway load time as the root cause of a 47% drop-off, we optimized the script to 1.8s. This single technical fix yielded a 34% improvement in conversion, proving that performance is the ultimate CRO lever.
Bandit Efficiency
A multi-armed bandit test converged to a winner in just 12 days, compared to 6 weeks for a traditional A/B test. This 47% reduction in testing time, coupled with a 73% reduction in traffic waste, delivered a +12% revenue lift over the control.
The Hidden Variables of Growth
When Statistics Meet Reality
SEASONALITY BIAS
A test run in December can show a lift that's purely seasonal. We use stratified sampling across full business quarters to isolate true conversion improvements from seasonal noise, ensuring insights are valid year-round.
USER HETEROGENEITY
A variant might win on mobile but lose on desktop. A combined analysis hides this critical insight. We design tests with sufficient sample sizes to segment by user behavior, platform, and traffic source.
SAMPLE SIZE RUSH
Business pressure leads to underpowered tests and false positives. We use power analysis and Bayesian sequential testing to balance the need for speed with the statistical rigor required for reliable results.
TECHNICAL GLITCHES
A bug affecting only Safari mobile users won't be caught by standard analytics. We implement real user monitoring and error tracking segmented by browser to find and fix these hidden conversion killers.
POWER ANALYSIS
Testing for a 5% lift when the real effect is 15% wastes traffic. We perform rigorous power analysis to set realistic Minimum Detectable Effects (MDE), ensuring our tests are efficient and impactful.
DOCUMENTATION DEBT
Without proper documentation, past learnings are lost. We maintain a rigorous log of every test's hypothesis, methodology, results, and decision, creating an invaluable institutional knowledge base.
Our CRO Technology Stack
The platforms, analytics tools, and statistical software that power our scientific approach to optimization.
Optimize What Matters
Stop optimizing button colors and start optimizing your growth strategy. True CRO is a scientific discipline that blends rigorous statistics, deep performance analysis, and a holistic view of the user journey. It's about finding the real leverage points—whether it's a slow-loading script, a flawed statistical model, or a misunderstood user segment. We bring the scientific methodology your growth deserves.
View Our Optimization Work