Groundbreaking White Paper and New Tool Improve Efficiency of A/B Testing

Web Focus LLC announces a new statistical method and approach which delivers visible improvements to the return on investment from any A/B or MVT test. It is applicable in various online marketing activities. The approach is called “AGILE A/B Testing” and is described in detail in a 46-page white paper, distributed for free. The release of the white paper is accompanied by a new software tool which helps experts in conversion rate optimization, user experience design and landing page optimization with the practical application of this statistical method.

Major highlights of the AGILE statistical method:

-  Up to 80% faster A/B tests when compared to approaches, traditional for the industry

-  Rules for early stopping for both efficacy and futility (lack of positive effect)

-  Flexibility to perform analysis and evaluation of accruing data

Faster tests equal faster iteration and quicker implementation of winning variatns. Statistically rigorous rules for stopping for lack of positive effect is a new feature for the mainstream AB testing industry. It is valuable as it allows unpromising tests to be cut early on and resources redirected to more promising experiments. The flexibility to perform plenty of interim analyses on the data while preserving control on the error tolerance is highly sought by practitioners as it neatly aligns the statistical method with the business process.

Combined, the above add up to a very significant improvement in the return on investment of any A/B or multivariate testing effort conducted following the AGILE A/B testing method, whether it will be in CRO, landing page optimization or PPC.

The method is best applied with the newly launched AGILE A/B Testing Statistical Calculator tool which is now part of the Analytics-Toolkit.com SaaS product of the company. The tool simplifies the process of using the AGILE approach to A/B testing by automating all of the statistical procedures and wrapping them in an interface that can be used without the need for deep statistical and mathematical expertise.

“We are giving a lot of R&D effort and statistical expertise for free with the release of our AGILE A/B Testing white paper. I believe that adoption of the more accurate and more efficient AGILE statistical method will help move the whole industry forward as both agencies and clients start seeing better results and ROI from A/B testing. Having a reliable measure of the effects of any AB testing treatment and the uncertainty of the measure enables decision-makers to make smart choices and move their business in the right direction with greater confidence.” said Georgi Georgiev, author of the white paper and managing director of Web Focus LLC.

For further information, visit Analytics-Toolkit.com