Sensemitter is now Emhance.
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Most store pages are optimized for clarity. The best-performing ones are optimized for how players feel. This guide breaks down how emotion and attention shape install decisions — and why many ASO improvements fail to move the needle. Based on facial coding and behavioral signal research, it shows what actually drives conversion at the moment it matters.
Most ASO teams focus on what players see.
The difference in performance comes from what they experience.
Two store pages can follow the same best practices — clean screenshots, strong metadata, clear messaging — and still deliver very different results.
The gap sits in the emotional trajectory.
What’s inside
A structured breakdown of how players respond to store pages, second by second — using biometric and behavioral data rather than self-reported feedback.
You’ll see:
Why dense, UI-heavy screenshots reduce conversion — even when they are “informative”
How a single icon change can drive up to +338% engagement lift
Where engagement drops in the screenshot sequence — and how to reorder it to recover installs
How video pacing, CTA timing, and platform layout impact install intent
Why high CTR can still lead to poor retention — and how to avoid that trap
How to align store page emotion with gameplay to improve long-term retention
Why this matters
Most ASO iteration happens at the surface level — testing variations without understanding the underlying mechanism.
That leads to small, inconsistent gains.
Emotion data changes the unit of analysis.
Instead of asking which version won, you see why players disengage — and where to intervene.
The store page stops being a static asset.
It becomes a sequence you can optimize.
About Emhance
Emhance captures 421 emotion and attention signals per second using facial coding and blink dynamics — mapping cognitive load, engagement, and subconscious response in real time.
Our models are trained on 40,000+ sessions and benchmarked at 91.67% accuracy, helping teams connect creative decisions directly to conversion and retention outcomes.