Arena (Message Testing)
Know What Works Before You Publish, Launch, or Promote Anything.
Arena shows how different audiences respond to your messages, product descriptions, content, and creative ideas — so brand, product, and content teams launch with confidence.
What Arena Is
Arena is iLuk's message and content testing environment. It helps you understand how real audiences (modeled through Selves) interpret:
It's built for teams who need clarity, alignment, and predictable performance before pushing anything live.
Why Arena Matters for Brand Managers
Brand Managers need to know:
- Does the message resonate with our target audience?
- Does it reinforce our positioning?
- Does it preserve brand consistency?
- Does it strengthen how AI assistants describe our brand?
Arena answers these questions with audience-level reactions, not assumptions.
Why Arena Matters for Product Managers
Product Managers need to know:
- Does this product description make sense to users?
- Are the features clear?
- Do users understand the value?
- What objections will come up?
- Does this messaging increase adoption?
Arena reveals:
This helps PMs build better PDPs, onboarding flows, and feature announcements.
Why Arena Matters for Content Managers
Content Managers need to ensure:
- Messaging is crisp
- Copy lands clearly across segments
- Tone is right
- Benefits stand out
- No ambiguity exists
- Content is structured for both humans and AI assistants
Arena provides:
What Arena Tests
1Brand Messaging
- value props
- category narratives
- positioning statements
- taglines
- mission/vision
2Product Content
- PDPs
- feature breakdowns
- how-it-works
- launch announcements
- naming options
3Creative Variations
- headlines
- social ads
- subject lines
- image concepts
- script outlines
- hero messages
4Page-Level Content
- landing pages
- homepage sections
- comparison pages
- FAQs
- onboarding flows
How Arena Works
Arena uses Selves from Bevel — realistic audience representations — to simulate how each segment reacts.
For every message or piece of content, Arena outputs:
What the audience understood
What they liked
What confused them
What they rejected
What they need to see to believe you
How to improve messaging
Which version performs best
None of this exposes proprietary modeling.
What a Typical Arena Output Looks Like
"This headline is clear but emotionally flat."
"Self Type C misunderstands the feature benefit."
"This message triggers price sensitivity concerns."
"Value Prop #2 performs best for high-intent audiences."
"Consider adding a concrete benefit."
"The tone feels corporate to younger segments."
Insights are easy for brand, product, and content teams to act on immediately.
How Arena Connects Across the iLuk Platform
Bevel → Arena
Selves provide audience motivations and expectations.
Arena → Edge
Clearer, validated content improves how AI assistants interpret and recommend your brand.
Arena → Deal
Deal deploys the highest-performing messaging into: ads, WhatsApp sales/CS flows, CRM, landing pages, PDPs, marketplace listings.
Before & After Arena
Before Arena
- Message direction unclear
- Product pages feel "fine" but vague
- Copy rewritten multiple times
- PMs concerned about misunderstandings
- Launch lacks confidence
- AI assistants describe the product inconsistently
After Arena
- Clear, validated messaging
- Stronger product-market fit
- High-performing headlines
- Aligned teams
- Confident creative direction
- Better alignment with AI assistant descriptions
Ideal For Teams That Care About:
brand consistency
clarity and comprehension
reducing launch risk
improving conversion
aligning stakeholders
choosing the right message
increasing AI visibility
fast testing without long research cycles
Launch only what works. Optimize everything before it goes live.
Key Facts
Arena tests messaging and content across realistic audience types (Selves).
It reveals clarity, resonance, objections, and cultural fit.
It helps brand, product, and content teams launch with confidence.
Arena improves AI Visibility through better narratives and clearer details.
No proprietary algorithms or internal scoring methods are disclosed.