Groundbreaking White Paper and New Tool Improve Efficiency of A/B Testing
20-80% improvement in the speed and efficiency of A/B tests performed using the new AGILE statistical method and software tool. Conversion rate optimization, landing page optimization, UX design and other online marketing activities will benefit from increased ROI.
Sofia, Bulgaria, May 25, 2017 --(PR.com)-- Web Focus LLC announces a new statistical approach that delivers significant improvements in ROI from A/B and MVT testing in a variety of online marketing-related activities. The approach is called “AGILE A/B Testing” and is described in a detailed 46-page white paper, distributed for free at https://www.analytics-toolkit.com/whitepapers.php .
It is accompanied by the launch of a new software tool which helps experts in conversion rate optimization, search engine optimization and paid-per-click advertising with the application of the improved statistical method in everyday testing and experimentation.
Some of the highlights of the AGILE statistical method are:
- Up to 80% faster 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 mean faster iteration and quicker implementation of test winners. Statistically rigorous rules for stopping for lack of positive effect is a new feature for the mainstream AB testing industry which 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 as it accrues while preserving control on the error tolerance is highly sought by most practitioners as it 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.
It is accompanied by the launch of a new software tool which helps experts in conversion rate optimization, search engine optimization and paid-per-click advertising with the application of the improved statistical method in everyday testing and experimentation.
Some of the highlights of the AGILE statistical method are:
- Up to 80% faster 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 mean faster iteration and quicker implementation of test winners. Statistically rigorous rules for stopping for lack of positive effect is a new feature for the mainstream AB testing industry which 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 as it accrues while preserving control on the error tolerance is highly sought by most practitioners as it 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.
Contact
Web Focus LLC
Georgi Georgiev
+1 213-406-7637
www.analytics-toolkit.com/
Georgi Georgiev
+1 213-406-7637
www.analytics-toolkit.com/
Contact
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