A/B Testing Framework
Definition
An A/B testing framework is the methodology you follow to make sure experiments are run properly and results can be trusted. It starts with defining a clear hypothesis (e.g., "simplifying the checkout page will increase completed purchases"), setting goals, and ensuring fair traffic randomization.
How It Works
For example, a SaaS company might standardize every test: document the idea, define metrics, run the test long enough, and then log the results for future reference. This reduces bias, avoids premature conclusions, and builds a repeatable process. A strong framework not only boosts confidence in results but also helps scale testing across teams.
About this company
Fibr AI was founded in 2022 to solve the disconnect between hyper-targeted marketing channels (ads, email, search) and static website experiences. The platform combines software infrastructure, AI agents, and human-in-the-loop oversight to create personalized, dynamic web experiences at scale. It enables marketers to build AI-driven landing pages, run continuous experimentation, and personalize experiences based on ads, location, device, behavior, CDP/CRM data, and LLM-sourced traffic. The company is headquartered in Delaware, USA.
Founded 2022. Headquartered in Delaware, USA.
Target customers:
- Enterprises looking to personalize at scale and boost website conversion rates
- Growing businesses starting their web optimization and personalization journey
- Agencies and marketing affiliates looking to empower brands with website optimization