Website & Mobile App Personalization Services

Many businesses invest heavily in driving traffic to their websites and mobile apps but lack clear, real-time insights into user behavior. This makes it difficult to evaluate content performance or deliver personalized experiences for different audiences.

LeadsTech offers enterprise-level website and mobile app personalization services. Using Adobe Target for A/B testing and Experience Targeting, we help businesses optimize digital experiences with data and improve conversion rates and marketing performance.

Website & Mobile App Personalization Services

Why Do You Need Website and App Personalization?

Website and app traffic is stable, but conversion rates remain low

It’s unclear which content or layouts actually perform best

Marketing and design decisions lack data-driven insights

Experience optimization is difficult to sustain and scale

Our Recommended Personalization Tools

Adobe Target

Adobe Target

LeadsTech uses Adobe Target as its core platform to help businesses implement A/B testing and experience targeting across websites and apps.

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A/B Testing

  • Define clear testing hypotheses and success metrics (such as conversion rate and click-through rate)
  • Compare the performance of different content, layouts, or interaction designs
  • Use real data to determine the best experience instead of subjective opinions
  • Build a repeatable testing and optimization framework

Experience Targeting

  • Segment audiences based on traffic source, device, location, or user behavior
  • Deliver different content or experiences to different audience segments
  • Increase relevance and conversion performance on key pages
  • Support personalization use cases across both websites and apps

Integration with Existing Systems

  • Integrate pages and content with CMS and eCommerce platforms
  • Connect with Analytics or CDP platforms as the basis for audience segmentation
  • Ensure testing and personalization do not impact website performance or SEO

Businesses Suitable for This Service

Corporate or eCommerce websites with stable traffic

Corporate or eCommerce websites with stable traffic

Businesses looking to increase conversion rates rather than just traffic

Businesses looking to increase conversion rates rather than just traffic

Apps with low user engagement or retention

Apps with low user engagement or retention

Teams that want to validate marketing and UX decisions with data

Teams that want to validate marketing and UX decisions with data

Organizations already using or planning to adopt Adobe Experience Cloud

Organizations already using or planning to adopt Adobe Experience Cloud

Existing content and experiences that cannot be adjusted in real time based on user differences

Existing content and experiences that cannot be adjusted in real time based on user differences

Successful Cases

Driving Personalized Engagement Results|Adobe Target × Analytics Integration Case

Driving Personalized Engagement Results|Adobe Target × Analytics Integration Case

LeadsTech helped the enterprise implement Adobe Target and integrate it with Adobe Analytics. Through A/B testing and experience targeting strategies, key pages and user interaction flows were optimized.
The project successfully validated experience design decisions with data, increased user engagement and conversion performance, and established a sustainable personalization optimization framework.

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Why Choose LeadsTech to Implement Personalization for Your Business?

Deep expertise in enterprise-level implementation of Adobe Target

Deep expertise in enterprise-level implementation of Adobe Target

Ability to integrate CMS, eCommerce, MA, and CDP architectures

Ability to integrate CMS, eCommerce, MA, and CDP architectures

Strong focus on test design, data interpretation, and measurable business results

Strong focus on test design, data interpretation, and measurable business results

Commitment to building sustainable, long-term experience optimization models

Commitment to building sustainable, long-term experience optimization models

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