The Challenge
Sunday is Europe's leading B2B merchandise platform, helping companies like Cloudflare, HubSpot, and Deel manage branded merchandise across HR, marketing, and sales departments. As a high-growth SaaS company with a platform that centralizes merchandise operations, Sunday needed to optimize their website to convert enterprise buyers visiting their site.
With a lean marketing team and moderate website traffic, traditional A/B testing wasn't practical. Running structured experiments required developer resources they didn't have, and waiting months for statistical significance would slow their growth trajectory. Sunday needed a way to continuously optimize their messaging and sign-up experience without adding headcount or slowing down their product team.
The Solution
Sunday chose Dalton to leverage AI-powered experimentation that could deliver results faster than traditional testing, starting with their key landing pages targeting enterprise buyers.
With just Dalton's single JavaScript snippet installed, the platform immediately began analyzing Sunday's pages and suggesting experiments on:
- Value proposition messaging tailored to different buyer personas (HR, Marketing, Sales teams)
- Page structure optimizations to reduce friction in the sign-up flow
- Content personalization based on traffic source and search intent
Changes deployed automatically—no duplicate pages or engineering tickets required. Through the dashboard, Sunday's team could review performance in real-time. Top-performing variants automatically received more traffic while underperformers were phased out, eliminating the need to wait weeks for statistical significance.
Every week, new experiment ideas surfaced based on visitor behavior, keeping the site continuously learning without manual oversight.
The Impact
Within the first month of integrating Dalton, Sunday identified messaging variations that improved engagement on key landing pages, with some experiments showing 40% more product views, 14% lower bounce rate, and 10% more click-through rates to their platform demo requests.
"We're finally able to test at the pace our business demands," noted Sunday's team. "Our website now adapts as quickly as our campaigns do, without requiring additional headcount or constant developer resources."
The continuous optimization approach transformed how Sunday views their website—from a static asset requiring periodic updates to a dynamic growth engine that improves with every visitor interaction. For a B2B SaaS platform targeting enterprise buyers across Europe, being able to test multiple value propositions and use cases simultaneously has accelerated their learning cycle significantly.
"We got meaningful insights in weeks that would have taken us months using traditional A/B testing. By testing many ideas at scale, we're learning faster about what resonates with different buyer personas—whether they're coming for employee onboarding solutions, event merchandise, or sales enablement tools."
