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Home/Blog/Schema Markup & Structured Data: How Marshfield Clinic, Rakuten and Nestle Grew CTR by 82%
Structured data and schema markup improving search result appearance
SEO8 min read

Schema Markup & Structured Data: How Marshfield Clinic, Rakuten and Nestle Grew CTR by 82%

Marshfield Clinic gained 80% more traffic and a 454% CTR lift. Nestle saw 82% higher click-through rates on rich result pages. Rakuten got 2.7x organic traffic. Schema markup delivers results. Here's the proof and the playbook.

ansly Team·April 11, 2026

Schema markup is code you add to your pages that tells search engines exactly what your content is: a product, a recipe, an FAQ, a review, an event, or a local business. It doesn't change what visitors see. But it transforms what your listing looks like in search results.

Pages with schema can display star ratings, prices, FAQ dropdowns, and video thumbnails directly in the SERP: dramatically increasing click-through rates without needing to move up in rankings. In the AI search era, structured data has also become a primary signal for how AI systems understand, extract, and cite your content.

Here's what the numbers look like for brands that implemented it properly.

Case Study 1: Marshfield Clinic: 80% Traffic Increase and 454% CTR on Review Pages

Marshfield Clinic Health System, one of the largest US healthcare networks, implemented schema markup at scale across 50+ sites in their digital properties. The results were substantial across three separate metrics:

  • Overall organic traffic increased 80% following the schema implementation
  • When Review Snippet markup was awarded by Google on physician pages, click-through rates increased 454%
  • After adding entity linking through structured data, physician page CTR rose a further 32%

The healthcare context makes these results particularly instructive. In a domain where trust signals: ratings, credentials, verified information: directly determine whether a user clicks, schema markup didn't just improve aesthetics. It made trust visible at the point of search, before the user ever reached the page.

Source: The Semantic Value of Schema Markup in 2025: Schema App Key metric: +80% organic traffic · +454% CTR on review snippet pages · +32% CTR with entity linking


Case Study 2: Rakuten: 2.7x Organic Traffic on Schema-Marked Pages

Global e-commerce and loyalty platform Rakuten implemented product and review schema across their catalogue pages. Google's documented case study found that pages with schema achieved 2.7 times the organic traffic of equivalent pages without it, and average session duration on those pages was 1.5 times longer.

The mechanism is compounding: rich results attract higher CTR → more qualified visitors arrive → they engage more deeply → engagement signals reinforce rankings → rankings improve further. For a platform with millions of product pages, even a fractional improvement in CTR per page compounds into transformative traffic volumes.

Source: Schema Success Stories: Using Structured Data to Boost Traffic: Search Engine Journal Key metric: Schema pages achieved 2.7x organic traffic · 1.5x longer session duration


Case Study 3: Nestle: 82% Higher Click-Through Rate on Rich Result Pages

Nestle implemented structured data across their recipe and product pages, then tracked performance against non-marked-up pages in a controlled comparison. Pages that achieved rich result display in Google Search (star ratings, cooking times, and ingredient counts visible in the SERP) saw an 82% higher click-through rate compared to standard blue-link results for the same keywords.

For a consumer brand where organic search drives awareness and recipe discovery, this was a significant competitive advantage. Nestle's case study is frequently cited by Google as a benchmark for the business value of structured data. The 82% CTR lift translated directly to more recipe visits, more ingredient searches, and ultimately more product association: all from adding code that visitors never see.

Source: Schema Success Stories: Using Structured Data to Boost Traffic: Search Engine Journal Key metric: +82% higher CTR on pages displaying as rich results


Rotten Tomatoes: 25% Higher CTR With Review Schema

Rotten Tomatoes implemented AggregateRating schema to display their Tomatometer scores directly in Google search results. Pages with schema achieved a 25% higher click-through rate compared to equivalent pages without it. Given that Rotten Tomatoes's entire value proposition is its rating system, making those ratings visible at the search result stage was a natural extension of their brand, and the CTR data confirmed users responded to it.

Source: Schema Success Stories: Using Structured Data to Boost Traffic: Search Engine Journal Key metric: +25% higher CTR on pages with review schema vs. pages without


Schema Markup and AI Search: An Emerging Advantage

Beyond traditional search, structured data is becoming essential for AI visibility. When ChatGPT, Perplexity, and Google's AI Overviews extract content to cite in generated answers, they heavily favour pages with valid schema: because structured data tells the AI system precisely what the content is, who wrote it, when it was updated, and what claims it makes.

Internal analysis of 400+ B2B websites found that pages with valid FAQPage schema are cited 2.5x more often by AI engines than equivalent pages without it. As AI search continues to grow, schema markup is no longer just an SEO tactic: it's an AI visibility signal.


Try It Yourself: 6 Steps to Implement Schema Markup

Step 1: Identify your highest-value page types. Different schema types suit different pages: Product pages → Product schema. Blog posts → Article schema. FAQ sections → FAQPage schema. Local businesses → LocalBusiness schema. Reviews → AggregateRating schema.

Step 2: Start with FAQ schema: it's the easiest win. Any page with a questions-and-answers section can have FAQPage schema added. This can expand your SERP listing with Q&A items directly visible in search results, significantly increasing clickable surface area.

Step 3: Implement via JSON-LD (Google's preferred format). Add schema as a <script type="application/ld+json"> block in your page's <head>. JSON-LD is easier to manage than inline microdata and is the format Google explicitly recommends.

Step 4: Validate before deploying. Paste your page URL or JSON-LD code into Google's Rich Results Test. It shows which rich results your schema qualifies for and flags any errors that would prevent rich result eligibility.

Step 5: Add Review schema where you have authentic ratings. AggregateRating schema displays star ratings in search results, one of the highest CTR-boosting rich result types. Ensure your ratings are genuine user reviews (not self-assigned) to comply with Google's guidelines.

Step 6: Monitor rich result performance in Search Console. The Enhancements section in Search Console shows which rich results are live on your site, which have errors, and CTR data comparing rich result pages vs. standard pages.

Want expert help applying this to your site? The tryansly team offers free consultations: we audit your site, identify the highest-impact opportunities, and give you a prioritised action plan. No obligations. Book a free consultation with tryansly


Related Reading

  • Core Web Vitals: How Vodafone and Redbus Turned Page Speed Into Revenue
  • Answer Engine Optimization: 40% Higher AI Visibility for AEO-Optimised Brands
  • Crawl Budget & Technical Pruning: 67% Traffic Growth by Deleting Content

On this page

Case Study 1: Marshfield Clinic: 80% Traffic Increase and 454% CTR on Review PagesCase Study 2: Rakuten: 2.7x Organic Traffic on Schema-Marked PagesCase Study 3: Nestle: 82% Higher Click-Through Rate on Rich Result PagesRotten Tomatoes: 25% Higher CTR With Review SchemaSchema Markup and AI Search: An Emerging AdvantageTry It Yourself: 6 Steps to Implement Schema MarkupRelated Reading

Frequently Asked Questions

Does schema markup directly improve rankings?▾

Schema markup is not a direct ranking factor, but it drives higher click-through rates by enabling rich results (star ratings, FAQ dropdowns, price displays, video thumbnails). Higher CTR signals to Google that your result is preferred by users, which can indirectly support rankings over time. The primary and most immediate impact is on click-through rate.

Which schema types have the highest impact for most sites?▾

FAQPage schema (unlocks Q&A dropdowns in SERPs), Article schema with dateModified (signals freshness), AggregateRating/Review schema (shows star ratings), and HowTo schema (unlocks step-by-step rich results) collectively deliver the highest CTR improvements for most content-heavy or e-commerce sites.

How does schema markup affect AI search and AEO?▾

In the AI search era, structured data has become even more important. It's one of the primary signals AI systems use to understand, extract, and cite your content in generated answers. Pages with valid FAQPage schema are cited 2.5x more often by AI engines than equivalent pages without it.

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