Turning organic traffic into 250k+ readers with scalable landing pages

The context

Springer Nature is one of the world's most influential scientific publishers, releasing over 14,000 books and 500,000 articles yearly. By leveraging a portfolio of prestige brands - including Nature, Springer and Macmillan - its platform enable the global research community to access and understand the world's most impactful discoveries.

Springer Nature's business model relies on readership. More content consumption leads to better engagement metrics, which sustains the Open Access ecosystem where researchers pay to publish and make their work freely available to the world.

The opportunity

In 2023, I led design strategy and execution for a team focused on the acquisition of new researchers to the Springer Nature platform. Our objective was to convert organic search traffic into active readers, driving click-throughs to underlying scientific articles and encouraging deep reading.

That same year, Springer Nature released a new internal taxonomy to classify content across the platform. While initially built as an information architecture foundation, we quickly recognized its potential as a powerful acquisition engine. By mapping this taxonomy to how researchers actually search for topics, we identified an opportunity to target over 2,000 keyword combinations with topic-specific landing pages.

I partnered with an SEO Specialist and a Product Manager to turn this technical SEO strategy into a scalable product experience. While the business opportunity was clear, the design challenge remained. We needed to solve for three key pillars:

• Engagement: Establishing topical authority to transform landing pages into high-value destinations that convert casual researchers into active readers.
• Scalability: Designing a dynamic, single-page architecture capable of adapting to 2,000 distinct long-tail subjects without manual curation.

My approach

I led design strategy and execution from discovery to delivery. My objective was to shift this initiative from a technical SEO framework into a high-utility product experience that delivered tangible value to the scientific community.

To translate our three strategic pillars into a scalable reality, I drove the following phases:

• Cross-Functional Discovery: Facilitated alignment workshops with SEO, marketing, and editorial publishing. Synthesized their complementary insights to define the exact value the project needed to provide for the business and the researchers.
• Validation & Architecture: Designed the ground-up information architecture and validated hypotheses through mid-fidelity prototype testing with 8 researchers, ensuring the taxonomy mapped to their mental models.

The workshops

At the beginning of the project, stakeholders expressed competing expectations. In order to create alignment and buy-in, I organized cross-disciplinary workshops with senior decision-makers from publishing, product, and marketing to establish a unified user value proposition.

In the first workshop, we focused on understanding what researchers aim to accomplish when they land on one of these pages from a Google search result. We then mapped the researchers' "Jobs to be Done" against our acquisition KPIs, voting on the highest-impact intersections. Finally, we asked stakeholders to sketch ideas to be shared in a follow-up session.

The workshops surfaced three critical insights:

• Expertise is contextual: A researcher might be a deep specialist in one subject and therefore look for highly technical content. On the other hand, they may browse a topic outside their expertise, primarily looking for introductory material.
• Context changes a researcher's needs: Depending on their current task, the exact same researcher might be a newcomer learning the basics of a subject, an active investigator looking for insights for current research, or a professional staying up to date in their field.

The user research

To translate our workshop hypotheses into validated design decisions, I worked alongside a UX Researcher to design and facilitate a research study with 8 researchers across different professional roles and subject-matter experience levels.

Each session included contextual interviews — aimed at uncovering information-seeking behaviors, pain points, and tools — followed by a concept validation phase, where participants navigated scenario-based tasks to test the effectiveness of a mid-fidelity prototype.

The research led to three insights that directly shaped the final product:

• Participants perceived the pages as valuable, time-saving resource aggregators, validating our hypothesis that the product can serve as an effective starting hub for content discovery.
• Subject-matter experts leveraged the pages primarily to stay current in their field. Their strong interest in email alerts for new publications proved the project's viability as a retention lever to drive returning traffic.

The solution

The final product is a dynamic content hub adapting to over 2,000 research subjects. It serves both deep specialists and newcomers through a single, scalable architecture that programmatically surfaces relevant content without compromising the user experience.

Rather than building a generic SEO landing page, I designed an experience rooted in four research-backed principles:

• Expertise-driven content hierarchy: The UI structures content along a spectrum to address varying researcher's needs: freshly published articles and email alerts for specialists sit alongside foundational books and reviews for non-specialists.
• Retention loops: Because subject-matter experts primarily want to stay current in their fields, the hub features a "Trending research" section and email alerts for new publications, turning one-time organic visitors into returning readers.