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How do you collect data for analyzing the performance | Fax Lead

How do you collect data for analyzing the performance of these emails?

Collecting data for analyzing the performance of customer story and case study emails involves utilizing various tools and techniques to gather relevant information. Here’s how you can effectively collect data for analysis: email marketing platforms: most email marketing platforms, such as mailchimp, hubspot, or constant contact, provide built-in analytics tools. These platforms track essential metrics like open rates, click-through rates, bounce rates, and unsubscribe rates automatically. They offer dashboards that visualize these metrics over time. Utm parameters: implement utm (urchin tracking module) parameters in the urls of links within your emails.

This helps you track specific campaigns and traffic

Sources in google analytics or other web analytics tools. By tagging links with utm parameters. You can identify which customer stories or case studies are driving traffic to your website and monitor user behavior. Conversion  Image Masking Service tracking: set up conversion tracking using tools like google analytics or your crm system. This allows you to monitor the actions users take after engaging with the email. Such as signing up for a trial, requesting a demo, or making a purchase. Heatmaps and scroll tracking: tools like crazy egg or hotjar provide heatmaps and scroll tracking, which help you understand where recipients are clicking within the email and how far they scroll down the content.

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This data can reveal which parts of the email are attracting

The most attention and engagement. Email a/b testing: conduct a/b tests with different versions of your emails to compare performance. Test variations in subject lines, content layout, call-to-action (cta) placement, and visuals. Analyze the a/b test results to determine which elements drive better engagement and conversions. Segmentation and audience Fax Lead  insights: segment your email list based on various criteria. Such as demographics, purchase history, or engagement levels. Compare the performance metrics for different segments to understand which types of customer stories resonate best with specific groups. Feedback surveys and responses: include a call for feedback or responses within the email.

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