A/B Testing
Improve CX With Proof, Not Assumptions.

A/B Testing in Glassix lets teams easily test different conversation flows, AI behaviors, and experiences in real traffic so decisions are driven by outcomes, not opinions.
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The Problem:
CX Changes Are Hard to Validate

Most changes go live without knowing if they actually work.

Most CX teams improve by intuition.

A new flow is deployed globally
Changes are hard to compare objectively
Results are influenced by seasonality and volume
Rollbacks are painful

As a result:

Teams hesitate to experiment
Improvements are slow
“Better” is subjective
Without controlled testing, optimization becomes guesswork.

Built-In A/B Testing for Conversations

Glassix enables true A/B testing at the conversation level.
Teams can:
Create Flow A and Flow B
Route a defined percentage of traffic to each (e.g. 50/50)
Compare performance side by side
Promote the winning version instantly
All without disruption.

Test What Actually Matters

A/B Testing in Glassix applies to real CX decisions, including:
Different conversation flows
Alternative AI responses or prompts
Automation vs human-assisted handling
Tone, wording, or structure changes
New intents or resolution paths
Every test can runs on live customer interactions,not simulations.

See how Glassix enables fast, safe A/B testing of AI and conversation flows using real traffic and real outcomes.

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Versions, Not Rebuilds

Glassix supports flow versions, making experimentation fast and safe.
Clone an existing flow
Modify only what you want to test
Deploy instantly alongside the current version
Roll forward or back with confidence
No re-implementation. No downtime.

Controlled Traffic,
Real Results

With Glassix A/B Testing you can:
Split traffic evenly or selectively
Test with limited exposure before scaling
Measure impact accurately
Avoid bias from external factors
Results reflect real customer behavior.

Measure What Wins

Each variation is evaluated across meaningful metrics, such as:
Resolution rate
Escalation rate
Handling time
Customer satisfaction
Completion and drop-off points
Teams know exactly which version
performs better and why.

Safe to Experiment.
‍Easy to Scale.

A/B Testing is designed for continuous improvement.
Test small changes safely
Learn quickly
Promote winners instantly
Iterate continuously
Optimization becomes routine - not risky.

From Experimentation to Better-Than-Human CX

Humans debate ideas. Glassix tests them.
A/B Testing enables:
Faster learning cycles
Data-backed decisions
Confident optimization
Continuous improvement at scale
This is how CX evolves intelligently.

Opinions Don’t Scale.
Tested Decisions Do.

See how Glassix turns experimentation into confident, repeatable CX improvements.
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