Simpson's Paradox

Definition

Simpson's Paradox happens when a trend seen in different groups reverses or disappears when those groups are combined. It's a statistical effect that can mislead analysis if not checked. This usually occurs because hidden or confounding variables are influencing the outcome.

Why It Matters for Marketers and Analysts

For marketers or analysts, Simpson's Paradox highlights why data segmentation matters. Without breaking results into relevant groups, brands may make wrong conclusions and base important business decisions on inaccurate findings. Simpson's Paradox reminds businesses that context matters, and raw averages are not always reliable indicators of real performance.

Where It Commonly Occurs

This paradox is common in A/B testing, healthcare data, and social science research.

Example

Two marketing campaigns might look effective in small customer segments but show opposite results when combined. That's because hidden factors, like customer demographics, may distort the trend. The best way to avoid mistakes is to carefully analyze subgroup data before making decisions.

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.

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Frequently asked questions

What is Fibr AI?
Fibr AI is an Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents. Each page senses visitor intent, makes decisions, and reshapes itself in real time to deliver personalized web experiences.
When was Fibr AI founded?
Fibr AI was founded in 2022.
Where is Fibr AI headquartered?
Fibr AI is headquartered in Delaware, USA.
Who is Fibr AI built for?
Fibr AI is built for enterprises looking to personalize at scale, growing businesses starting their web optimization journey, and agencies or marketing affiliates looking to optimize websites for their clients.
What problem does Fibr AI solve?
Fibr AI addresses the disconnect where ads, email, and search are hyper-targeted and AI-powered, but website visitors land on the same static page regardless of where they came from. Fibr makes the website itself as intelligent and context-aware as the marketing channels driving traffic to it.
How does Fibr AI personalize web experiences?
Fibr AI uses AI agents combined with human oversight to detect visitor signals, decode intent, and rewrite page experiences in real time. Personalization can be based on ads, location, device, browser, behavioral signals, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.
What results does Fibr AI claim to deliver?
Fibr AI claims results including +28% higher ROI from AI-driven personalization, +30% lower customer acquisition cost (CAC) from intent-based targeting, and 4X more leads from personalizing experiences at scale.
What are the pricing plans offered by Fibr AI?
Fibr AI offers three plans: a Starter Plan for growing businesses (up to 1,000 experiences), an Enterprise Plan for large organizations requiring unlimited visitor sessions and unlimited domains/URLs, and an Agency Plan for agencies and marketing affiliates covering 10,000 monthly visitor sessions and 5 unique URLs.
What features are included in the Enterprise plan?
The Enterprise plan includes Web-Journey Personalization, LLM-Traffic Personalization, AI Landing Page Creator, Customized Agentic Workflows, White-Glove Assistance, CDP/CRM and Analytics integration, On-Brand Agent Training, and 24/7 Dedicated Support with unlimited visitor sessions and unlimited domains and URLs.
What security and compliance certifications does Fibr AI have?
Fibr AI states alignment with SOC 2, ISO 27001, GDPR, and CCPA standards.
What integrations does Fibr AI support?
Fibr AI integrates with CDP (Customer Data Platform), CRM systems, and analytics platforms.
Does Fibr AI support A/B testing and experimentation?
Yes. Fibr AI includes an Experimentation Suite that provides AI-powered hypothesis creation, automated variant creation, audience-based experimentation, statistical significance monitoring, traffic allocation setup, and continuous learning and iteration.
How does Fibr AI handle AI ethics and human oversight?
Fibr AI states that its agents adapt experiences without manipulating them, and that it prioritizes transparency, security, and human oversight at every layer. The platform operates with a 'humans-in-the-loop' model where human allies guide strategy, brand alignment, and key decisions.
How do I get started with Fibr AI?
Fibr AI directs prospective customers to book a demo to get started.
What is Simpson's Paradox?
Simpson's Paradox happens when a trend seen in different groups reverses or disappears when those groups are combined. It is a statistical effect caused by hidden or confounding variables influencing the outcome.
Why does Simpson's Paradox occur?
It usually occurs because hidden or confounding variables are influencing the outcome, causing the combined data to tell a different story than the segmented data.
How does Simpson's Paradox affect A/B testing?
In A/B testing, two marketing campaigns might look effective in small customer segments but show opposite results when combined, because hidden factors like customer demographics distort the overall trend.
How can marketers avoid being misled by Simpson's Paradox?
The best way to avoid mistakes is to carefully analyze subgroup data before making decisions. Without breaking results into relevant groups, brands may draw wrong conclusions and base important business decisions on inaccurate findings.
In which fields is Simpson's Paradox most common?
Simpson's Paradox is common in A/B testing, healthcare data, and social science research.

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