Not a single client has been disappointed yet. Please read carefully. Details truly matter.

Chris Gethoff

QCentrix

Challenge

Q‑Centrix, a trusted clinical data solutions provider, aimed to expand into biotech and focus on large pharmaceutical companies. These clients promised high visibility and strong data demand, but the market was fiercely competitive. Initial attempts—light personalization via HubSpot tokens—yielded insignificant results, prompting the team to adopt a sharper, more compelling approach to capture attention and build trust in this saturated segment.

Hypothesis

The marketing team hypothesized that content precisely aligned with each pharma company’s priorities would help executives quickly recognize Q‑Centrix’s value. They selected LinkedIn as the primary channel and paired it with personalized creatives and dedicated landing pages. Goal: demonstrate that “deep personalization” outperforms generic messaging, builds prospect trust, and convinces internal sales and marketing teams to scale the strategy.

Solution

Q‑Centrix moved beyond basic tokens like company name or BDR’s first name. Instead, they used AI to analyze each target’s core priorities. The team gathered 6–7 unique data points per company and prompted AI—for example, whether the company ran active clinical trials and in which therapeutic areas. These AI-driven insights, based on public data, generated highly relevant content. They then enriched it with HubSpot and ZoomInfo data to create landing pages that felt uniquely authoritative to each prospect.

Execution and Creative

LinkedIn ads were synchronized with personalized landing pages to deliver a seamless experience from click to view. Creatives and copy reflected specific company details—clinical trial activity, therapeutic focus, and strategic goals—making every message instantly useful to the viewer.

Results

LinkedIn ads were synchronized with personalized landing pages to deliver a seamless experience from click to view. Creatives and copy reflected specific company details—clinical trial activity, therapeutic focus, and strategic goals—making every message instantly useful to the viewer.

Conclusion

AI-driven deep personalization—enhanced with first- and third-party data and delivered through aligned creatives—can transform B2B communications with pharma companies. When content mirrors a client’s real priorities, engagement rises, trust strengthens, and internal stakeholders confidently scale the strategy.

AI-powered campaigns delivered 2.3× higher CTR than non-personalized ones.

Time on page increased by 170%—from seconds to several minutes.

27% conversion lift