A/B testing services

Use data to make decisions. We’ll help you tweak and improve every part of your app’s experience for the best results.

API Testing Service
Truffle Test
Google Optimize
Remix
Unbounce
Mocha
Adobe Target
Ganache
Crazy egg
Caliper
Apptimize
Exonum
Zoho
Corda
Amplitude
BitcoinJ
ABTasty
Brownie
SplitMetrics
Waffle
Kameloon
Hyperledger
Optimizely
Truffle Test
Google Optimize
Remix
Unbounce
Mocha
Adobe Target
Ganache
Crazy egg
Caliper
Apptimize
Exonum
Zoho
Corda
Amplitude
BitcoinJ
ABTasty
Brownie
SplitMetrics
Waffle
Kameloon
Hyperledger
Optimizely
Truffle Test
Google Optimize
Remix
Unbounce
Mocha
Adobe Target
Ganache
Crazy egg
Caliper
Apptimize
Exonum
Zoho
Corda
Amplitude
BitcoinJ
ABTasty
Brownie
SplitMetrics
Waffle
Kameloon
Hyperledger
Optimizely
QA Challenge Shape
Underlying challenges

Navigating product launch challenges

Without A/B Testing, businesses may face significant challenges, from uncertainty in optimal strategies to missed opportunities for data-driven improvements.

Decentralized ecosystem

Missed opportunities

Missed opportunities

Decentralized ecosystem

Without the chance to test and make changes, businesses miss out on ongoing improvements that can make the product better.

Smart contract security

Increased risk

Increased risk

Smart contract security

The absence of A/B testing may leave clients without a thorough product validation, increasing the likelihood of crashes.

Network issues

Lower conversion rate

Lower conversion rate

Network issues

Without A/B Testing, there are fewer chances to improve conversion rates, which could stop key business numbers from getting better.

Poor economic models

Reduced user adoption

Reduced user adoption

Poor economic models

Clients might have a hard time figuring out if users will accept the product, which could make it harder to get a lot of people to use it.

Benefits

A/B Test your way to success

Our services show you the way forward, helping you make decisions based on data and unlock:

More revenue

Find issues that are stopping conversions and increase revenue by a fifth with targeted improvements.

Crashproof your product

Cut crashes by 50% with careful testing, making sure users have a smooth experience.

Improve conversion

Make key numbers go up 35% by improving every possible click and user journey.

Gain user confidence

Get clear insights into what users prefer, leading to product rollouts that are 40% smoother.

Interested in our A/B software testing? Reach out to us.

Service CTA BG
What We test Shape

What we test

We use statistical A/B testing to find the best options and use data to grow.

Cross-browser testing:

Making hypotheses

We work with you to make clear, measurable goals and turn them into hypotheses we can test.

Visual automation:

Designing and Implementing variants

We use feature flags, visual editors, or code injections to make and put in place testable variations easily.

Data Format Verification

Allocating traffic and Randomizing

We use stratified sampling or statistical randomization techniques to collect data that isn’t biased.

Security Testing

Analyzing statistics

We use Bayesian or frequentist approaches to measure statistical significance and calculate confidence intervals.

Rate Limiting And Throttling

Testing multivariate

We look at the interaction effects of multiple variables, going beyond simple A/B comparisons.

Rate Limiting And Throttling

Using multi-armed bandit algorithms

We use advanced adaptive testing algorithms for dynamic optimization and real-time insights.

Rate Limiting And Throttling

Reporting and Visualizing data

We give clear, actionable insights through visual dashboards and detailed reports.

Rate Limiting And Throttling

Integrating with analytics platforms

We connect easily with your existing analytics stack for holistic performance monitoring.

Authentication And Authorization Tests

And other validations like

User Experience testing, Performance testing, Security testing, and Accessibility checks.

Cross-browser testing:

Making hypotheses

We work with you to make clear, measurable goals and turn them into hypotheses we can test.

Visual automation:

Designing and Implementing variants

We use feature flags, visual editors, or code injections to make and put in place testable variations easily.

Data Format Verification

Allocating traffic and Randomizing

We use stratified sampling or statistical randomization techniques to collect data that isn’t biased.

Security Testing

Analyzing statistics

We use Bayesian or frequentist approaches to measure statistical significance and calculate confidence intervals.

Rate Limiting And Throttling

Testing multivariate

We look at the interaction effects of multiple variables, going beyond simple A/B comparisons.

Rate Limiting And Throttling

Using multi-armed bandit algorithms

We use advanced adaptive testing algorithms for dynamic optimization and real-time insights.

Rate Limiting And Throttling

Reporting and Visualizing data

We give clear, actionable insights through visual dashboards and detailed reports.

Rate Limiting And Throttling

Integrating with analytics platforms

We connect easily with your existing analytics stack for holistic performance monitoring.

Authentication And Authorization Tests

And other validations like

User Experience testing, Performance testing, Security testing, and Accessibility checks.

Block Quote

A/B testing is not about proving your intuition right or wrong, but about finding the best solution for your users.

Block Quote
Erin Weasley
Client Successes Shape

Client Successes

We assisted our client in the HealthTech sector improve their product with our A/B Software Testing.

Problem

Challenges

Challenges

Our client in the HealthTech business had problems improving digital solutions for better user engagement, conversion rates, and overall user satisfaction.

Our Response

Solutions

Solutions

Our A/B Testing Services used a strategic approach, doing controlled experiments to check different versions.

Success

Result

Result

Working together, we increased user engagement by 38%, improved conversion rates by 30%, and made the product perform better overall.

Our approach

Approach for product excellence

We employ a systematic and data-driven approach to optimize user experiences, increase engagement, and boost conversion rates.

1.

Goal alignment
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    Setting Goals: We work with stakeholders to set clear, measurable goals for testing that match business objectives.

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    Making Hypotheses: We make hypotheses to test specific changes, making sure our approach to improvement is structured and targeted.

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    Identifying KPIs: We define key performance indicators (KPIs) to measure and assess the impact of A/B testing variations accurately.

2.

Controlled experimentation
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    Randomizing Test Groups: We randomly assign users to control and variant groups to make sure results are unbiased and statistically valid.

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    Designing Variations: We make variations focusing on specific elements like UI, content, or functionality, making sure we understand the impact of each change.

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    Determining Sample Size: We calculate the right sample sizes to make sure results are statistically significant and reliable.

3.

Test execution
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    Testing Protocols in Order: We use testing methods in order to watch results over time and find trends or changes.

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    Multivariate Testing: We test with multiple changes to see the combined effect and find the best combination.

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    Consistent Testing Environment: We make sure the testing environment is consistent to reduce outside factors and get reliable insights into user behavior.

4.

Data analysis
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    Analyzing Statistics: We use strong statistical techniques to analyze test results and find out how significant observed changes are.

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    Segmenting Users: We do detailed user segmentation analysis to see how different user groups respond to changes.

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    Analyzing Behavior: We analyze user behavior metrics to understand what changes and why, which gives us useful insights for future versions.

5.

Iterative Optimization
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    Data-Driven Decision Making: We use insights from A/B testing to make improvements over time, making sure we’re always optimizing.

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    Reporting Fully: We give detailed and clear reports on A/B test results, including visualizations and recommendations.

  • Checkmark

    Sharing Knowledge: We share what we’ve learned and best practices with stakeholders to encourage a culture of making decisions based on data.

1.

Goal alignment
  • Checkmark

    Setting Goals: We work with stakeholders to set clear, measurable goals for testing that match business objectives.

  • Checkmark

    Making Hypotheses: We make hypotheses to test specific changes, making sure our approach to improvement is structured and targeted.

  • Checkmark

    Identifying KPIs: We define key performance indicators (KPIs) to measure and assess the impact of A/B testing variations accurately.

2.

Controlled experimentation
  • Checkmark

    Randomizing Test Groups: We randomly assign users to control and variant groups to make sure results are unbiased and statistically valid.

  • Checkmark

    Designing Variations: We make variations focusing on specific elements like UI, content, or functionality, making sure we understand the impact of each change.

  • Checkmark

    Determining Sample Size: We calculate the right sample sizes to make sure results are statistically significant and reliable.

3.

Test execution
  • Checkmark

    Testing Protocols in Order: We use testing methods in order to watch results over time and find trends or changes.

  • Checkmark

    Multivariate Testing: We test with multiple changes to see the combined effect and find the best combination.

  • Checkmark

    Consistent Testing Environment: We make sure the testing environment is consistent to reduce outside factors and get reliable insights into user behavior.

4.

Data analysis
  • Checkmark

    Analyzing Statistics: We use strong statistical techniques to analyze test results and find out how significant observed changes are.

  • Checkmark

    Segmenting Users: We do detailed user segmentation analysis to see how different user groups respond to changes.

  • Checkmark

    Analyzing Behavior: We analyze user behavior metrics to understand what changes and why, which gives us useful insights for future versions.

5.

Iterative Optimization
  • Checkmark

    Data-Driven Decision Making: We use insights from A/B testing to make improvements over time, making sure we’re always optimizing.

  • Checkmark

    Reporting Fully: We give detailed and clear reports on A/B test results, including visualizations and recommendations.

  • Checkmark

    Sharing Knowledge: We share what we’ve learned and best practices with stakeholders to encourage a culture of making decisions based on data.

Our Approach Shape

Why choose Alphabin?

Long-term Support

Flexible engagement models

Choose from flexible projects, retainers, or hourly rates to suit your budget and project requirements.

Data-Driven Decisions

Measurable improvements

Faster test cycles, reduced costs, and improved quality with quantifiable results.

Budget Friendly Solutions

Unbiased insights

Our independent perspective ensures objective feedback, highlighting critical issues and opportunities for improvement.

Our Resource Shape

Our Resources

Explore our insights into the latest trends and techniques in SAP Testing.

Top Trends in Real Mobile Device Testing to Watch in 2025

Top Trends in Real Mobile Device Testing to Watch in 2025

  • Dec 13, 2024

Since the use of mobile technology is set to advance further, testing these real devices is crucial and requires effective and efficient methods. The true concept of mobile device testing guarantees that applications perform optimally on various devices.

10 Mobile Application Testing Companies in USA for 2025

10 Mobile Application Testing Companies in USA for 2025

  • Dec 12, 2024

Engaging a testing company would speed up the development process for developers and project managers cooperating on building the software. This involves finding complex problems by testing mobile and web apps. Companies like Alphabin work with a hybrid model. They combine manual with automation testing using AI to ensure both speed and quality.

Top 10 Software Testing Companies in Bangalore - 2025

Top 10 Software Testing Companies in Bangalore - 2025

  • Dec 3, 2024

Launching a new product is exciting, but nothing can ruin the experience faster than glitches or bugs. There is a lot of technology in our world nowadays, and if you are not sure that your software is working properly, you cannot be successful. That is why software testing comes forward and ensures that everything runs smoothly and does not crash for your users.

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FAQs

Frequently Asked Questions

What is A/B testing, and how does it contribute to optimizing digital experiences?
FAQ Arrow

Also known as split testing, it compares two versions (A and B) of a web page, app, or other digital content to determine which one performs better. It optimizes digital experiences by providing data-driven insights into user behavior, preferences, and the impact of design or content variations on key metrics.

What types of Split Testing Services do you provide, and how do they align with different industries?
FAQ Arrow

Our A/B Software Testing covers various experiments, including websites, email campaigns, and mobile apps. We tailor our services to align with clients' specific goals across industries, focusing on improving conversion rates, user engagement, and overall digital performance.

Can you elaborate on the statistical methodologies used in Split testing?
FAQ Arrow

We employ statistical methodologies such as t-tests and chi-square tests to analyze A/B test results. Sample size calculations are based on desired statistical power, significance level, and expected effect size. Ensuring statistical significance is crucial to draw valid conclusions from A/B test data.

How do you address challenges related to external factors that may influence A/B test results?
FAQ Arrow

Addressing external factors involves careful experimental design and data segmentation. We account for seasonality by analyzing trends over time, and for marketing campaigns, we may segment data to isolate the impact of the A/B test. Sensitivity analysis is performed to assess the robustness of results to potential external influences.