THIS IS HOW WE HELPED
Auticate with Chris & Debby (Foundational Data Testing)
THIS IS HOW WE HELPED
Auticate with Chris & Debby (Foundational Data Testing)
Chris & Debby run Auticate, a YouTube channel built around authentic conversations about Autism and ADHD. Their goal: make education and awareness accessible — but even with great content, their thumbnails were pulling spikes of clicks, and not consitent and stable growth for expousre.
Case Study: How We Discovered What Their YouTube Audience Actually Clicks
The Problem
They were getting inconsistent YouTube views — one video would stall under 10K, while another suddenly hit 270K.
For a channel built to educate and raise awareness about Autism and ADHD, the lack of predictable reach made it hard to grow their message and community.
They needed to understand why some videos took off while others didn’t — and how to consistently reach and engage their YouTube audience.
The Fix
In Month 1, we focused entirely on foundational data testing — not on boosting views or optimizing performance, but on learning what their audience actually responds to.
We analyzed hook length, subject placement, and color tone across similar creator channels, along with their past YouTube A/B tests.
Then we applied that data to four new controlled thumbnail experiments.
The early results revealed:
Short, emotional hooks drive faster clicks
Centered focal points outperform side compositions
Light, bright colors get higher CTR than dark cinematic tones
The Win
Even before full optimization, the data was clear.
We uncovered the psychology behind what their audience clicks, what they skip, and what visually connects with them.
That became the foundation for every future thumbnail, helping the channel build consistent CTR, predictable views, and a scalable data-driven system for growth.
Case Study: How We Discovered What Their YouTube Audience Actually Clicks
The Problem
They were getting inconsistent YouTube views — one video would stall under 10K, while another suddenly hit 270K.
For a channel built to educate and raise awareness about Autism and ADHD, the lack of predictable reach made it hard to grow their message and community.
They needed to understand why some videos took off while others didn’t — and how to consistently reach and engage their YouTube audience.
The Fix
In Month 1, we focused entirely on foundational data testing — not on boosting views or optimizing performance, but on learning what their audience actually responds to.
We analyzed hook length, subject placement, and color tone across similar creator channels, along with their past YouTube A/B tests.
Then we applied that data to four new controlled thumbnail experiments.
The early results revealed:
Short, emotional hooks drive faster clicks
Centered focal points outperform side compositions
Light, bright colors get higher CTR than dark cinematic tones
The Win
Even before full optimization, the data was clear.
We uncovered the psychology behind what their audience clicks, what they skip, and what visually connects with them.
That became the foundation for every future thumbnail, helping the channel build consistent CTR, predictable views, and a scalable data-driven system for growth.
Chris & Debby run Auticate, a YouTube channel built around authentic conversations about Autism and ADHD. Their goal: make education and awareness accessible — but even with great content, their thumbnails were pulling spikes of clicks, and not consitent and stable growth for expousre.
Case Study: How We Discovered What Their YouTube Audience Actually Clicks
The Problem
They were getting inconsistent YouTube views — one video would stall under 10K, while another suddenly hit 270K.
For a channel built to educate and raise awareness about Autism and ADHD, the lack of predictable reach made it hard to grow their message and community.
They needed to understand why some videos took off while others didn’t — and how to consistently reach and engage their YouTube audience.
The Fix
In Month 1, we focused entirely on foundational data testing — not on boosting views or optimizing performance, but on learning what their audience actually responds to.
We analyzed hook length, subject placement, and color tone across similar creator channels, along with their past YouTube A/B tests.
Then we applied that data to four new controlled thumbnail experiments.
The early results revealed:
Short, emotional hooks drive faster clicks
Centered focal points outperform side compositions
Light, bright colors get higher CTR than dark cinematic tones
The Win
Even before full optimization, the data was clear.
We uncovered the psychology behind what their audience clicks, what they skip, and what visually connects with them.
That became the foundation for every future thumbnail, helping the channel build consistent CTR, predictable views, and a scalable data-driven system for growth.
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Check our other project case studies with detailed explanations
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Check our other project case studies with detailed explanations