Image-text layout is a crucial way to engage users on a website, but adjustments should not be made based on gut feelings before optimization. Instead, data should guide your decisions. From an operational perspective, we recommend prioritizing the following four types of data to evaluate the effectiveness of your current image-text layout and identify areas for improvement.
1. User Behavior Data: Dwell Time and Bounce Rate
User dwell time and page bounce rate are the most direct feedback indicators. If a content page has a short dwell time and a high bounce rate, it suggests potential issues with the image-text layout, such as weak correlation between images and text, excessive images hindering readability, or cluttered text formatting. Compare pages with image-text layouts against plain text pages to see the average dwell time difference. Typically, well-optimized image-text pages see a 20%-50% increase in dwell time compared to text-only pages.
2. Content Interaction Data: Click-Through Rate and Conversion Rate
If your image-text layout includes clickable elements like buttons or links (e.g., call-to-action text or image links), monitor the click-through rate. Additionally, the completion rate of conversion goals on the page, such as form submissions, downloads, or inquiries, reflects whether the layout is effective. For example, a product illustration paired with clear copy often yields a higher conversion rate than text alone. Use A/B testing to compare different image-text combinations, and base your decisions on data accumulated over at least two weeks.
3. Image Loading Performance: Page Load Time
Images are a key factor affecting page speed. Before optimization, check image size, format, and loading methods. Use tools like PageSpeed Insights to assess page load time. If images cause the load time to exceed 3 seconds, compress images, use WebP format, or enable lazy loading. Do not sacrifice performance for aesthetics, as users may leave before seeing the content.
4. User Scroll Depth and Heatmaps
Heatmap tools, such as Hotjar or Baidu Analytics' click maps, reveal where users actually scroll and click. If key image-text elements appear in areas with low scroll depth, users are not seeing them. Move important content higher or adjust the layout. Additionally, eye-tracking heatmaps show where users focus, helping you determine if images distract from the text.
5. Search Performance Data: Image Alt Tags and Page Indexing
From an SEO perspective, missing or poorly described alt tags on images can reduce image search traffic. Before optimization, check the fill rate of alt tags on your site's images and the traffic generated from image search results. Low page indexing rates may also be linked to excessive images reducing content quality. Ensure every image has a relevant and natural alt description.
Summary and Recommendations
The core of image-text layout optimization is being data-driven. Before making changes, gather at least 1-3 months of user behavior and performance data to pinpoint specific issues. Avoid overhauling everything at once; instead, test small changes, compare results, and then roll out site-wide. If you manage a corporate website, start with core product or service pages and observe changes in the metrics mentioned above.
