A/B & Multivariate Testing

A/B testing, also known as bucket testing or split testing, is a form of testing in which two different versions of a single web page are compared to each other to understand which variant is more conversion friendly or which one performs better. Two different versions of the same web page are shown to audience as a randomized experiment and it involves application of statistical or two hypothesis testing to determine what variant will be perfect to achieve specific goals. In multivariate testing, more than two samples are tested with every possible combination of the different UI elements.

Even so A/B or Multivariate Testing is not as well-liked as other Web Analytics or Search Engine Optimization Tools, it is quite possible that people are not familiar with the advantages that these two testing methodologies could deliver.


Guerrilla Local & A/B or Multivariate Testing

Having courtesy of plenty of SEO and digital marketing skills, Guerrilla Local has been delivering groundbreaking services to businesses based in Dubai, UAE and Middle East for more than 15 years. Thousands of businesses are backed up by our exclusive digital services and we evolve them to achieve goals, reshaping their presence as trusted brands.


A/B & Multivariate Testing Services Guerrilla Local Offers

Guerrilla Local exercises following A/B & multivariate testing structure to evaluate


Optimize and measure conversions with A/B and multivariate testing

For more than 9 years, Guerrilla Local has been offering tailored A/B and multivariate testing solutions to businesses and making it easier for them to pick user interfaces based on strategic content and design elements.

Why go around and invest in impracticable methods? Apply our A/B testing techniques to validate your theory.

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In a continuously evolving digital world, designers and marketers are using A/B testing to gather information about human psyche and these perceptions are advancing them to choose design options that have the best impacts on conversions.

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