> For the complete documentation index, see [llms.txt](https://academy.gopersonal.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.gopersonal.ai/guia-de-usuario/broadcasts/nuevo-broadcast/a-b-testing.md).
# A/B Testing
El A/B testing en los broadcasts es fundamental porque permite evaluar y comparar científicamente diferentes variaciones de tus mensajes. Esta herramienta permite perfeccionar la estrategia de comunicación y mejorar el impacto de los broadcasts en la interacción con los usuarios y las tasas de conversión.
Para habilitar el A/B testing, es necesario crear más de una variante.
Para configurar el A/B testing, es necesario seleccionar el porcentaje de destinatarios para la prueba y el tiempo que se espera para determinar la variante ganadora. La variante ganadora será aquella que logre mejores conversiones basadas en la meta seleccionada al crear el broadcast.
Una vez que finalice el período de prueba, la variante ganadora se enviará al resto de la audiencia, lo que permite optimizar la estrategia de comunicación para mejorar el rendimiento general.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://academy.gopersonal.ai/guia-de-usuario/broadcasts/nuevo-broadcast/a-b-testing.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.