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CustomFit.ai

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"Personalize websites, test variations without coding."

This service allows marketers to modify website content and test different versions without needing technical skills. It uses artificial intelligence to optimize website performance, aiming to enhance user experience and increase sales through personalized interactions. Marketers can seamlessly integrate this tool with existing platforms to analyze visitor behavior, adjust content in real-time, and ultimately improve conversion rates.
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CustomFit.ai's Website Claims...
Our AI found these claims on CustomFit.ai's website.
AI-driven optimization boost
CustomFit.ai claims that its AI-powered platform helps to optimize conversion rates significantly, enhancing upselling strategies.
No-code personalization simplicity
CustomFit.ai claims that their no-code platform allows marketers to easily personalize and A/B test websites without any coding knowledge.
Real-time user engagement
CustomFit.ai claims that it can instantly personalize based on user behavior and preferences to drive higher engagement and conversions.
BlurbSTAR Case Study
Kapiva & CustomFit.ai
Kapiva boosts conversions with CustomFit.ai's personalization tools.
9.48%
Conversion rate improvement in Experiment 2
9.66%
Conversion increase in Experiment 1
1.
Situation
Increasing Conversion Rates for Kapiva
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Kapiva aims for higher conversion rates.
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CustomFit.ai offers personalized page enhancements.
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Partnership seeks to enhance user engagement.
Kapiva, a leader in holistic wellness products, wanted to increase user engagement and conversion rates on their digital platform. Achieving these objectives required a deep understanding of user behavior and the ability to deliver personalized page experiences. Enter CustomFit.ai, equipped with advanced tools and strategies aimed at transforming Kapiva's digital landscape through optimization of their product pages.
2.
Task
Optimizing Kapiva's Product Pages
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Redesign Kapiva's mobile product pages.
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Use visuals to capture user attention.
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Increase button interactions and conversions.
The task was to employ CustomFit.ai's capabilities to redesign and customize the Kapiva product pages. This included the addition of attention-grabbing visuals and mobile-optimized elements that could significantly improve interaction with 'Add to Cart' and 'Buy Now' buttons. The main aim was to increase click-through rates and conversion metrics by tailoring user interactions based on preferences and behavior.
3.
Action
Personalized Page Experiences Implemented
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Experiment 1: Mobile optimization with banners.
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Experiment 2: Redesign with reviews and highlights.
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CustomFit.ai enabled personalized content delivery.
Kapiva utilized CustomFit.ai for two experiments focused on personalization. In Experiment 1, a mobile-friendly banner was added to product pages, while Experiment 2 included redesign efforts using ratings, concise descriptions, and social proof. These changes were strategically implemented to capture user attention, adapt to user-specific needs, and drive higher interactions with key calls to action. Custom Fit tools facilitated user-centered design changes.
4.
Result
Significant Conversion Rate Increases Achieved
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9.66% boost in Experiment 1 conversions.
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9.48% growth in Experiment 2 rates.
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Strategies enhanced user interaction and satisfaction.
The innovative usage of customized page experiences in the form of visual enhancements and mobile-first design led to significant improvements in conversion rates. Experiment 1 resulted in a 9.66% increase in rates, while Experiment 2 saw a 9.48% boost. These results demonstrate how personalized and targeted strategies not only engage users but also drive key performance metrics, effectively optimizing Kapiva's digital presence.
Keywords
USER ENGAGEMENT OPTIMIZATION
CONVERSION RATE ENHANCEMENT
PERSONALIZED PAGE EXPERIENCES
DIGITAL MARKETING STRATEGIES
HOLISTIC WELLNESS E-COMMERCE
The Blurbs FAQs
CustomFit.ai hasn't answered their category questions yet.
1.
What types of personalization does your platform support (real-time, AI-driven, rule-based, predictive, etc.)?
CustomFit.ai has not completed their Blurbs FAQs
2.
How does your platform collect and utilize first-party data for personalization?
CustomFit.ai has not completed their Blurbs FAQs
3.
What types of user behavior can your platform track and personalize (browsing history, purchase intent, geolocation, past purchases, etc.)?
CustomFit.ai has not completed their Blurbs FAQs
4.
Does your platform support A/B testing, multivariate testing, and AI-driven experimentation?
CustomFit.ai has not completed their Blurbs FAQs
5.
How does your platform integrate with our existing tech stack (eCommerce platform, CDP, CRM, ESP, analytics tools, etc.)?
CustomFit.ai has not completed their Blurbs FAQs
6.
Can your platform personalize website elements such as product recommendations, dynamic banners, CTAs, and pricing?
CustomFit.ai has not completed their Blurbs FAQs
7.
How does your platform handle real-time personalization, and what is the speed of data processing?
CustomFit.ai has not completed their Blurbs FAQs
8.
What level of reporting and insights does your platform provide to measure personalization impact?
CustomFit.ai has not completed their Blurbs FAQs
9.
Can we segment users dynamically based on real-time behavior and customer lifecycle stage?
CustomFit.ai has not completed their Blurbs FAQs
10.
Do you provide AI-driven predictive personalization for product recommendations and content?
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CustomFit.ai
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