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Building a comprehensive framework for the most used metrics in digital analytics involves categorizing the metrics into different dimensions based on their purpose and the aspects of digital analytics they address. Here's a structured framework that covers the essential metrics:

Acquisition Metrics:These metrics focus on how users find and arrive at your digital property.

a. Traffic Sources: The channels through which users reach your site (e.g., Organic Search, Direct, Referral, Social, Paid Search, etc.). b. Sessions: The number of individual visits to your website or app during a specific time period. c. New vs. Returning Users: Segregating users based on whether they are visiting for the first time or have returned. d. Click-Through Rate (CTR): The percentage of users who clicked on a specific link or ad out of the total number of users who viewed it.

Engagement Metrics:These metrics measure how users interact with your content and website.

a. Pageviews: The total number of pages viewed across all users. b. Time on Page: The average time spent by users on a particular page. c. Bounce Rate: The percentage of users who leave the site after viewing only one page. d. Session Duration: The average time users spend on your site during a single visit.

Conversion Metrics:Conversion metrics track actions that indicate successful outcomes or goals.

a. Conversion Rate: The percentage of users who complete a specific goal (e.g., sign up, purchase, etc.) out of the total number of visitors. b. Goal Completions: The total number of times a specific goal is achieved. c. Abandonment Rate: The percentage of users who start a process but do not complete it (e.g., cart abandonment rate). d. ROI (Return on Investment): The revenue generated compared to the cost of digital marketing efforts.

Retention Metrics:These metrics measure how well you retain users over time.

a. Churn Rate: The percentage of users who stop using your service or product during a specific period. b. Repeat Purchase Rate: The percentage of customers who make more than one purchase. c. Customer Lifetime Value (CLV): The total value a customer brings to the business over their lifetime.

User Behavior Metrics:These metrics provide insights into how users interact with your site and content.

a. Heatmaps and Clickmaps: Visual representations of where users click and interact with your site. b. Scroll Depth: How far users scroll down a page. c. Form Completion Rate: The percentage of users who successfully complete a form.

Segmentation Metrics:Analyzing metrics based on specific segments can provide valuable insights.

a. Demographics: Age, gender, location, etc. b. Devices: Mobile, desktop, tablet, etc. c. Referral Sources: Metrics for each traffic source separately. d. User Types: Segmenting users based on behaviors (e.g., active users, inactive users).

Site Performance Metrics:These metrics focus on the technical aspects of your website.

a. Page Load Time: The time it takes for a page to fully load. b. Server Response Time: The time it takes for the server to respond to a request. c. Error Rates: The percentage of page requests that result in errors.

Customer Satisfaction Metrics:These metrics help gauge how satisfied users are with their experience.

a. Net Promoter Score (NPS): Measures customer loyalty and satisfaction. b. Customer Effort Score (CES): Measures the ease of completing an action on your website.

a. Likes, Shares, and Comments: Engagement metrics on social media platforms. b. Social Reach: The total number of users who see your content on social media.

a. Open Rate: The percentage of recipients who open your email. b. Click-Through Rate (CTR): The percentage of email recipients who clicked on a link within the email.

Remember that the specific metrics you focus on may vary depending on your digital goals, industry, and the type of digital property you are analyzing. Regularly tracking and analyzing these metrics will provide valuable insights into your digital performance and help optimize your strategies for better results.

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