


Passion.io's no-code app platform serves diverse creator types—fitness coaches, course creators, consultants, community builders, and more. Each segment has unique needs, pain points, and goals.
The problem: Their use case pages tried to speak to everyone at once. Generic messaging that worked for nobody. Technical features listed without context. Value propositions that didn't resonate with specific creator types.
A fitness coach couldn't see how the platform solved their scheduling and client progress tracking needs. A course creator didn't understand how it handled content delivery and completion rates. Each segment landed on pages that felt like they were built for someone else.
The messaging gap was costing them qualified leads from multiple high-value creator segments.
Working with Yieldpage, Passion.io rebuilt messaging for 6 distinct creator use cases:
Audience-first structure: Each use case page started with the creator's specific challenge, not platform features. Fitness coaches saw "keeping clients accountable between sessions." Course creators saw "low completion rates killing results."
Benefit hierarchy: Generic capabilities like "mobile app builder" became segment-specific outcomes. For fitness coaches: "Your clients track workouts, log meals, and message you—all in your branded app." For course creators: "Push notifications keep students engaged. In-app community drives completion."
Proof points per segment: Social proof matched the audience. Fitness coach pages featured fitness creator testimonials. Course creator pages showed education-focused case studies.
Consistent brand voice: Despite segment customization, all pages maintained Passion.io's core positioning and tone. The brand felt unified, not fragmented.
The result: Six distinct pathways into the same platform, each speaking directly to a creator type's specific needs.
Within 48 hours, all 6 use case pages were restructured and implemented. Each creator segment now had a clear entry point that spoke to their specific challenges, goals, and use cases.
