Case study

Catalyze AI

Predictive Analytics Lead Generation

Catalyze AI

Catalyze AI is a predictive analytics platform using big data and AI to deliver event-driven lead generation for financial services and real estate — analysing 400M+ data points to connect professionals with prospects experiencing significant life events like inheritance or retirement.

Year
2023
Role
Webflow Developer
Duration
~30 hrs
Sector
AI · Analytics
Stack
WebflowCMSGSAPSwiper.jsFinsweet
Challenge

Predictive AI is a saturated pitch space. The site had to make the value concrete in a few seconds — not in three white papers — surface distinct content paths for Financial Services and Real Estate audiences, and route sales-leader prospects into a demo with the right context.

Approach
  1. (01)

    Built a tight Webflow site with conversion-optimised hero, feature stacks, and proof sections, plus smooth-scroll navigation for long-form pages.

  2. (02)

    CMS collections for blogs, resources, and industry-specific content — Finsweet Attributes for filtering, Swiper.js for testimonial showcases, Pure Counter JS for animated stats, Remodal for lead-capture pop-ups.

  3. (03)

    Cookie consent plugin and full privacy compliance baked in from day one.

  4. (04)

    Demo intake routed and instrumented so every conversion has full attribution.

Outcome

A conversion-tuned marketing site that argues the category clearly, serves both financial-services and real-estate audiences cleanly, and routes demo requests qualified with full editorial autonomy for the small marketing team.

Build effort

~30 hrs

Data points

400M+

Industries surfaced

2

Editorial autonomy

Full