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THE SPLIT DECISION SOLVER

Know Exactly When Your A/B Test Results Matter

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Turn A/B Testing Data Into Profitable Marketing Decisions

Your A/B testing results mean nothing without statistical validation. Stop relying on gut feel and start making data-driven decisions that impact your bottom line.

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Understanding A/B Test Statistical Significance

In digital marketing, A/B testing is crucial for optimiSation. But how do you know when your results are truly meaningful?

 

Statistical significance is the scientific measure that tells you whether your test results are reliable or just random chance.

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Why Statistical Significance Matters in A/B Testing

Running A/B tests without checking statistical significance is like throwing money into the dark.

Here's why it matters:
 

  • Confidence in Results: Know with 95% certainty that your changes are making a real impact.
     

  • Resource Optimisation: Stop wasting time and money on insignificant changes
     

  • Risk Reduction: Avoid making business decisions based on false positives
     

  • ROI Maximisation: Focus efforts on changes that drive proven results

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Common A/B Testing Challenges Solved

1. Sample Size Uncertainty
How many visitors do you need for reliable results? Our calculator tells you exactly when you've reached a valid sample size.

2. Early Result Confusion
Seeing a 50% improvement after day one? Learn why early results can be misleading and when to trust your data.

3. Industry Variations
Different industries need different confidence levels. Get recommendations tailored to your sector, whether you're in e-commerce, SaaS, or services.

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How the Split Decision Solver™ Works

Simply input your test data:

  1. Number of visitors for each variation

  2. Number of conversions

  3. Your industry

  4. Test duration

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Get instant insights:

  • Statistical confidence level

  • Recommended sample sizes

  • Industry benchmarks

  • Action recommendations

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Real-World Applications

E-commerce Testing

  • Product page layouts

  • Checkout flow optimisation

  • Price display variations

  • Call-to-action buttons

  • Product description formats

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Digital Marketing

  • Landing page elements

  • Email subject lines

  • Ad copy variations

  • Visual content tests

  • Value proposition messaging

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SaaS & Technology

  • Sign-up flow optimisation

  • Feature page layouts

  • Pricing page design

  • Onboarding sequences

  • User interface elements

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Advanced Features for Marketing Professionals

  • Confidence Level Analysis: Understand exactly how sure you can be about your results
     

  • Sample Size Calculator: Know when you've gathered enough data
     

  • Industry Benchmarks: Compare your results against sector standards
     

  • Multi-Variant Support: Test multiple versions simultaneously
     

  • Action Recommendations: Get clear next steps based on your results

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Technical Background

Our calculator uses industry-standard statistical methods including:

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  • Two-tailed Z-tests

  • Chi-square analysis

  • Bayesian probability

  • Standard deviation calculations

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This ensures your results meet scientific standards while remaining accessible and actionable. Simples...

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Why Trust Our Calculator

Built on proven statistical models and real-world marketing experience, the Split Decision Solver™ combines mathematical precision with practical business application.

 

Whether you're optimising a small business website or running enterprise-level experiments, get the clarity you need to make confident decisions.

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