Blurbs
comparison of Fermat and Coframe
Learn about how these Website Personalization vendors stack up against each other
by
checking out our blurbs,
claims, and case studies.
Blurbs
comparison of Fermat and Coframe
Learn about how these Website Personalization vendors stack up against each other
by
checking out our blurbs,
claims, and case studies.
Fermat
"Optimizes ecommerce shopping experiences using AI funnels"
Focused on
AI-Powered Personalization Engines and Landing Page & Experience Builders
.
FERMÀT reimagines ecommerce by enabling marketers to instantly create and fine-tune dynamic shopping funnels. The platform uses real-time data to craft personalized touchpoints from ad click to checkout. It simplifies creating custom campaigns without the hassle of web development, making marketing initiatives seamless and quick to launch.
Increased AOV and ROAS
FERMÀT claims that customers experience an 85% increase in AOV and a 63% increase in ROAS using their platform.
Custom Shopping Experiences
FERMÀT claims that Jack Archer decreased CPA by 20% with FERMÀT's custom shopping experiences.
Rapid Experimentation Ease
FERMÀT claims that OpenStore can quickly create landing pages, enhancing ease of use without design skills.
Coframe
"Generate, test, and optimize website variations automatically."
Focused on
Experimentation & Optimization Tools
.
Coframe quickly builds and tests different versions of your website. It swaps code, text, and images and checks which works best. No extra work needed from your team. Ideal for marketers dealing with constant shifts in digital strategies, especially when timelines are tight.
Fast integration and results
Coframe claims that their tool provides time to value in days, not months, allowing businesses to start seeing improvements almost immediately.
Significant performance improvement
Coframe claims that it can drive a 54% lift in engagement for large enterprises, showcasing its powerful optimization capabilities.
Continuous learning and adaptation
Coframe claims that its model constantly learns what increases performance, generating new experiment ideas automatically for ongoing optimization.