Scaling Paid Search Automation in Life Sciences With Abcam

Client overview

Abcam is a global leader in supplying antibodies, reagents, and tools to life science researchers. Their product catalogue is vast, with millions of unique search terms driving traffic across thousands of niche products. It’s not your typical campaign setup – there’s no traditional hero product or central theme to lean on. Instead, it’s all about volume, relevance, and precision.

That scale brought a unique challenge: how do you run paid search effectively when no two keywords behave the same way?

The challenge

Our Approach

In close collaboration with Abcam’s in-house digital experts, we designed a search strategy that fused domain expertise with technical precision. The result was a bespoke automation framework that scaled relevance without sacrificing control.

We created a custom algorithm to analyse and group keywords into logical product categories- based on product type, user intent, and scientific context. This structure gave us the foundation to build highly relevant, scalable campaigns that reflected how researchers actually search.

For each category, the system generated bespoke ad headlines and descriptions aligned to user queries. Dynamic URLs were created to point directly to the most relevant product or content. An automatic link checker ensured all pages were live and working before anything launched.

The engine wasn’t static. It constantly scanned live search term data, identifying high-intent queries not yet captured. When a valuable new term emerged, the system built everything – from keyword to ad to landing page – on the fly.

Conclusion

Managing paid search across thousands of highly specialised scientific queries isn’t something traditional campaign structures can handle. The scale, fragmentation, and constant emergence of new search behaviour required a fundamentally different approach.

By building a bespoke automation framework, we transformed an enormous keyword ecosystem into a structured, scalable growth engine. Keyword grouping, dynamic ad creation, and automated campaign expansion ensured that relevance could be maintained at scale while continuously capturing new demand.

In complex search environments like life sciences, performance doesn’t come from managing more keywords manually. It comes from building systems that can understand, structure, and respond to search demand at scale.