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Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing is your essential resource for mastering effective online testing.
| Publisher | Generic |
| Language | English |
| Item Weight | 2.1 pounds (950 grams) |
| Dimensions | 6 x 17.78 x 9 inches (15.2 x 45.2 x 22.9 cm) |
| Country of Origin | This item will be imported from US |
| Date First Available | December 21, 2023 |
| What is in the box | Trustworthy Online Controlled Experiments:... For more details, please check description/product details |
Marketers looking to optimize campaigns and improve conversion rates will find valuable insights in A/B testing principles.
Product managers aiming to enhance user experience through data-driven decisions will benefit from practical A/B testing strategies.
Data analysts interested in experimental design and statistical analysis will gain a comprehensive understanding of online experiments.
Those new to digital metrics may struggle with the complexities of A/B testing without foundational knowledge.
Trustworthy Online Controlled Experiments: A Practical Guide to AB Testing Paperback Spiral-bound
**** "Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing" delivers an essential resource for both novice and seasoned practitioners in the realm of A/B testing. The authors, who possess extensive experience working with major digital corporations like Google, LinkedIn, and Microsoft, provide pragmatic insights into creating and executing effective A/B tests. The book addresses a critical need for a reliable reference point, Consolidating knowledge that enables businesses to foster a culture driven by data. The contents are split into sections that cater to varied audiences, allowing everyone from executives to data analysts to find relevant advice. Beginners can grasp the foundational concepts, while more advanced users can dive deep into the statistical intricacies essential to trustworthy experimentation. The book doesn't stop at merely presenting the theory; it emphasizes practical implementation and the potential pitfalls that could lead to misleading conclusions if proper methodologies aren't followed. Notably, the blend of high-level examples and a strong focus on research-based practices sets this guide apart. It encourages a careful evaluation of trustworthiness in experimental results, thus reinforcing the importance of methodological integrity. This comprehensive approach equips readers with tools not just to conduct A/B tests, but to understand and communicate the complex dynamics of data-driven decision-making effectively. Overall, the book stands as a highly recommended addition for anyone involved in or interested in enhancing their understanding of digital experimentation and A/B testing, making it a must-read in the field. **
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Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.
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