Tracking Which Newsletter Section Gets the Most Clicks
Overall click rate hides which specific newsletter section earns attention, utm_content tagging exposes section-by-section performance.
Marcus Webb
Growth Marketing Lead
Email Marketing Tracking Blueprint Guide
Why does section-level data matter more than overall click rate?
An overall click rate tells you how the email performed as a whole, but it doesn't reveal which content resonated. A newsletter can show a healthy overall click rate while masking the reality that ninety percent of clicks came from one strongly performing section, with the rest of the content essentially ignored. Without section-level tracking, that imbalance stays invisible and the newsletter's structure never gets optimized on real evidence.
How does utm_content distinguish between newsletter sections?
Assign a distinct utm_content value to each link based on the section it belongs to, utm_content=main_feature, utm_content=article_2, utm_content=promo_banner, utm_content=footer_social, so every click traces back to the exact section that generated it, even though all these links can share an identical utm_source, utm_medium, and utm_campaign.
How do you build a consistent section naming system?
Establish a naming pattern for your recurring sections and use it identically across every send. If your newsletter always includes a 'main feature,' a 'quick links' section, and a 'promo,' using the exact same utm_content labels every edition lets you compare section performance over time, revealing whether certain section types consistently outperform others rather than only analyzing a single edition in isolation.
How do you review section-level data in your analytics platform?
Filter your analytics platform's reports by your newsletter's utm_campaign or by the utm_source and utm_medium combination, then break results down further by utm_content for a clear, section-by-section comparison of clicks and, if conversion tracking is connected, downstream conversions and revenue attributable to each section.
What does section-level analysis typically reveal?
This kind of breakdown often surfaces patterns invisible in an aggregate click rate, a promotional section might drive disproportionately more revenue despite fewer raw clicks than a popular, lower-intent content section, or a specific position in the newsletter (near the top versus buried at the bottom) might consistently outperform others regardless of the content placed there, suggesting positioning matters as much as content quality.
How do you use this insight to restructure future newsletters?
With clear section-level data, make deliberate, evidence-based decisions: promote consistently high-performing content types to more prominent positions, reconsider or redesign underperforming sections, and test structural changes like moving a promotional section higher or lower, measuring the result with the same utm_content approach to confirm the change actually improves performance.
How granular should section-level tagging get?
Avoid excessive fragmentation. Tagging every individual word or tiny link separately creates an overwhelming amount of data that's harder to interpret than a slightly less granular but more manageable section-level breakdown. Aim for a granularity that maps to genuinely distinct, meaningful content blocks in your newsletter's actual structure.
Frequently Asked Questions
What utm_content labels work best for newsletter sections?
Descriptive, consistent labels tied to your newsletter's actual structure, main_feature, article_2, promo_banner, footer_social, reused identically across every edition.
Can a low-click section still be valuable?
Yes, a promotional section can generate disproportionately more revenue than a higher-click content section, which is exactly the kind of insight section-level tracking exposes.
Does section position in the newsletter affect click rate?
Often, yes. Sections near the top frequently outperform identical content placed near the bottom, meaning positioning itself can matter as much as the content.
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