Application:\u00a0<\/em><\/strong>A low rate of emails marked as spam indicates that your content is relevant and of quality for your audience.<\/p>\n Case Study:\u00a0<\/em><\/strong>A 50% reduction in the rate of emails marked as spam after improving message segmentation and personalization.<\/p>\n Good or bad?\u00a0<\/em><\/strong>A high rate of emails marked as spam can damage your sender's reputation and affect deliverability.<\/p>\n Actions for improvement:\u00a0<\/em><\/strong>Make sure your emails are relevant and requested by recipients. Also, provide clear options for subscribers to unsubscribe, if they wish to do so.<\/p>\n Definition:\u00a0<\/em><\/strong>This metric involves analyzing the geographic location of recipients who open and click on your emails.<\/p>\n Application:\u00a0<\/em><\/strong>Geolocation data allows you to personalize content and offers based on the location of your subscribers.<\/p>\n Success story:\u00a0<\/em><\/strong>A 30% increase in conversions after tailoring offers based on recipient location.<\/p>\n Good or bad?\u00a0<\/em><\/strong>There is no \"good or bad\" value per se for this metric, but its application can improve the relevance and effectiveness of your campaigns.<\/p>\n Actions for improvement:\u00a0<\/em><\/strong>Use geolocation information to send location-specific content, such as local offers or nearby events.<\/p>\n Definition:<\/em><\/strong>\u00a0Conversion rate measures the percentage of recipients who completed the desired action after clicking on your email.<\/p>\n Application:<\/em><\/strong>\u00a0A high conversion rate indicates that your emails are driving tangible results.<\/p>\n Case Study<\/em><\/strong>20% increase in conversions after simplifying the purchase process on the website.<\/p>\n Good or bad?<\/em><\/strong>\u00a0A low conversion rate may indicate that your landing page or conversion process needs improvement.<\/p>\n Actions for improvement:<\/em><\/strong>\u00a0Optimize your landing page to make it relevant and easy to use after clicking through from the email.<\/p>\n2. Geolocation data<\/h2>\n
Conversion rate<\/h2>\n
4. Attrition Rate (Churn Rate)<\/h2>\n