Loading
Loading
Scaling user acquisition was becoming prohibitively expensive due to inefficient ad landing pages.
As they scaled their ad spend, their customer acquisition cost (CAC) skyrocketed. They were sending all traffic, regardless of the ad they clicked, to a generic homepage, resulting in massive bounce rates.
We developed personalized, dynamic landing pages based on traffic source and user intent to align expectations instantly.
We built a Next.js architecture that read the UTM parameters of incoming traffic and instantly rendered a personalized landing page tailored to that specific user's intent.
We implemented edge-based split testing, allowing us to test hundreds of headline and call-to-action variations without slowing down the page load speed.
Relevance equals revenue. By ensuring the user saw exactly what they clicked on, conversion rates doubled. This efficiency meant the fintech startup could acquire new users for 40% less than before, allowing them to stretch their marketing budget further and outpace competitors.
Need a custom architecture audit like this?
Schedule a Free Audit