visitor traffic generation

SEO-optimized Website and Organic Assets

Within the framework of the project, we carried out a series of A/B tests and experiments to enhance user engagement, directly leading to an increase in visitor-to-lead conversion rates.

Project Overview

As part of our comprehensive project to optimize a FinTech affiliate website, our team tackled core web performance issues and ventured into improving user engagement and enhancing conversion rates.

Application Examples

A/B testing and experimentation framework to conduct both client-side and server-side UX experiments.
User tracking and personalization widgets to provide a more tailored experience for users.
Interactive calculators and tools foster higher user interaction.
Dynamic data components and programmatic SEO to enhance content relevance and publish content at scale.
Interactive mega menus cater to the most relevant and engaging content for both users and search engines.

Goal 1: Increase Organic Channel Traffic

Challenge: Frequent Google algorithm changes impacted its Core Web Vitals and, by extension, its search visibility and user experience.

Solution: To improve page performance, we explored innovative solutions like Cloudflare Workers and Cache Reserve.

Results:

Home Page performance saw marked improvements, with Largest Contentful Paint improving by 3.1x, Total Blocking Time by 2x, and Speed Index by 2.75x.
These enhancements helped achieve healthy marks for Core Web Vitals, ensuring robust SEO performance and a solid foundation for further experimentation without sacrificing user experience.
The improvements brought a 70% increase in organic, unbranded traffic.

Goal 2: Increase Visitor-to-lead Conversion Rate

Challenges: Our efforts to increase conversion rates were hindered by two significant challenges: the negative impact of UI/UX experiments on page performance and data contamination, which made it difficult to obtain accurate experiment results.

Solution: By implementing and refining a suite of A/B and multivariate testing strategies, along with developing crawler detection mechanisms, it is now possible to have accurate reports without bot and QA traffic noise.

Results:

We successfully launched four conversion-focused experiments without a major impact on page speed or organic performance.
Our refined data analysis protocols effectively filtered out bot and QA traffic, providing clear insights and identifying winning variations of experiments.

Conclusion

This strategic approach led to significant improvements in visitor-to-lead conversion rates, illustrating the value of our targeted, data-driven interventions.