Does it calculate statistical significance?

Yes. Blu includes sample size calculation, confidence intervals, and a clear ship/kill recommendation when results are ready.

Can it personalize for different traffic sources?

Yes. Personalizations can branch by UTM source, returning vs. new visitors, lifecycle stage, or any profile attribute.

What happens after an experiment ends?

Blu produces a retrospective with learnings and designs the next test based on what you found out.

Does it require a separate testing tool?

No. A/B testing and personalization are built into the platform — Blu configures and runs them natively.

Experience Optimizer · Part of Blu

Experience Optimizer

Configure A/B tests and web personalizations with hypothesis-driven experiment design

What it handles

Hypothesis-driven testing

Every experiment starts with a hypothesis, primary metric, guardrail metric, and sample size calculation.

Visual personalizations

Show different content to different segments based on behavior, traffic source, or lifecycle stage.

Ship decision framework

Blu tells you when results are significant, recommends ship or hold, and explains the trade-offs.

How it works

Identify the drop-off

Blu builds your funnel, ranks each step by ICE score, and surfaces the highest-impact opportunity to test.

Blu designs the experiment

Hypothesis, variants, primary metric, guardrail metric, and sample size — all defined before a single pixel moves.

Run and monitor

Blu tracks significance and confidence intervals in real time. No spreadsheet. No manual calculation.

Ship decision, next test

When results are ready, Blu recommends ship or kill with the reasoning — then designs the next test from what you learned.

4 skills. From hypothesis to shipping winner.

CRO Program

Run structured conversion optimization — find drop-offs, design experiments, create variants, analyze, ship/kill, design next test.

8 actionsAll modelsReports-Funnels

Personalization & Recommendations

Set up personalization engine and product recommendation feeds across web, email, and app surfaces.

7 actionsAll modelsRecommendations

Testing Retrospective

Review a period's experimentation results and build next quarter's testing roadmap.

5 actionsAll modelsExperiments

VIP & Loyalty Program

Identify top customers, create tier-based segments, deliver exclusive experiences.

6 actionsAll modelsAI Attributes

Every skill produces real platform configs not suggestions.

A/B experiments

Hypothesis, variants, sample size

Personalization rules

Segment, surface, fallback

Ship/kill decisions

Significance, confidence, rationale

Funnel audits

ICE-scored drop-off opportunities

Retrospectives

Win rate, velocity, roadmap

VIP tiers

LTV segments, exclusive perks

CRO roadmaps

Prioritized next tests, impact

9 specialists.
One growth team.

Purpose-built agents that share one context layer — no data lost between tools.

Data Analyst

Creative Assistant

Journey Builder

RevOps Automator

Outreach Rep

Account Researcher

Scheduling Assistant

Meeting Notetaker

Stop shipping gut feelings. Start running real experiments.

Blu reads your event stream and delivers the answer.

Run CRO Program →See Pricing