CustomFit.ai

CustomFit.ai is an intuitive, no-code platform tailored for marketing professionals to enhance website performance via A/B testing and content personalization. It simplifies experimentation on any webpage—from product displays to checkout flows—using a drag-and-drop editor that eliminates the need for coding skills. Marketers can enrich pages with dynamic content blocks like video reels, recently viewed items, and customer testimonials to boost engagement. The platform ensures rapid, flicker-free delivery that is optimized for SEO and integrates smoothly with leading CMS and eCommerce systems. By adapting content in real-time based on visitor actions, it drives higher conversions and revenue, supported by comprehensive analytics for ongoing refinement.

Key Features

No-Code Visual Editor: An intuitive drag-and-drop interface enables marketers to build and customize pages without any programming knowledge.

Real-Time Personalization: Content adjusts dynamically according to visitor behavior, preferences, and demographic data.

Comprehensive A/B Testing: Facilitates A/B, A/B/N, split URL, and theme testing to pinpoint top-performing page components.

Content Blocks Library: Easily incorporate elements such as video reels, recently viewed products, testimonials, and product carousels.

SEO-Friendly & Flicker-Free: Guarantees quick loading times and a seamless user experience, avoiding layout shifts.

Seamless Integration: Compatible with Shopify, WordPress, WooCommerce, and custom CMS configurations.

Use Cases

Ecommerce Optimization: Boost sales by tailoring product pages and checkout processes using visitor insights.

Landing Page Testing: Test variations in headlines, call-to-action buttons, and layouts to optimize conversion rates.

User Engagement Enhancement: Employ personalized video content, testimonials, and product suggestions to increase visitor interaction.

Marketing Campaign Personalization: Deliver customized promotions and messages triggered by user activity and referral sources.

Conversion Rate Optimization: Utilize machine learning and data-driven analytics to continually enhance site effectiveness.