As an SEO professional, I can tell you that a good engagement rate in Google Analytics 4 (GA4) typically ranges between 0.5% to 1.5% for most websites. However, these numbers can vary significantly based on your industry, target audience, and content type.

Let me break down what constitutes a good engagement rate across different sectors:

E-commerce websites: 1-3%
B2B websites: 0.5-1%
Content/Media sites: 2-4%
SaaS platforms: 1-2%

In GA4, engagement rate is calculated differently from the old Universal Analytics. It measures the percentage of sessions that lasted longer than 10 seconds, had at least one conversion event, or had two or more page views. This makes it a more meaningful metric for SEO analysis.

To put these numbers in context, here are the key factors that influence what's considered a "good" engagement rate:

Content quality and relevance
Website loading speed
Mobile responsiveness
User interface and experience
Target audience behavior
Industry competition

For SEO purposes, I recommend focusing on these engagement rate benchmarks:

Poor engagement: Below 0.5%
Average engagement: 0.5-1.5%
Good engagement: 1.5-3%
Excellent engagement: Above 3%

To improve your engagement rate, I suggest:

Creating high-quality, relevant content that matches search intent
Optimizing page load times
Ensuring mobile-first design
Implementing clear call-to-actions
Regular A/B testing of content and layout

Remember that engagement rate shouldn't be viewed in isolation. It's best to analyze it alongside other metrics like bounce rate, average session duration, and pages per session to get a complete picture of your SEO performance.

Monthly monitoring of your engagement rate trends is crucial. If you notice a significant drop (more than 20% from your baseline), it's time to investigate potential issues with your content or technical SEO.

Keep in mind that seasonal factors and industry events can impact engagement rates, so always consider these external factors when analyzing your performance. Focus on long-term trends rather than short-term fluctuations for more meaningful insights.

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