Data Advising: Google Analytic

Service Description

1. Setting Up Google Analytics 2. Key Metrics to Monitor Traffic Metrics: Sessions and Users: Analyze how many users visit your site and how often. Traffic Sources: Understand where your traffic originates (organic, paid, direct, or referral). Engagement Metrics: Bounce Rate: Percentage of visitors who leave without interacting. Average Session Duration: Time users spend on your site. Conversion Metrics: Track goal completions such as purchases, sign-ups, or form submissions. 3. Data Segmentation Segment data to understand user behavior across different groups: Demographics: Analyze age, gender, and location. Behavior: Study new vs. returning visitors, devices used, or engagement by time. Acquisition: Compare performance of campaigns, keywords, or channels. 4. Event Tracking Use Google Tag Manager to set up event tracking for interactions like: Button clicks. Video plays. File downloads. This helps measure micro-conversions and refine user experience. 5. E-Commerce Tracking If you run an online store, enable Enhanced E-commerce: Track product views, add-to-cart actions, and purchase behavior. Analyze revenue and ROI by campaigns, keywords, or audience segments. 6. Multi-Channel Funnels and Attribution Multi-Channel Funnels: Understand how different channels contribute to conversions. Attribution Models: Allocate credit to touchpoints like first-click, last-click, or data-driven models to evaluate marketing effectiveness. 7. Integration with Other Tools Sync accounts to analyze campaign performance and optimize for conversions. Search Console: Gain insights into keyword rankings and click-through rates (CTR). CRM Platforms: Integrate with tools 8. Data-Driven Recommendations Identify top-performing pages and replicate their success for other content. Use data to refine ad targeting, keywords, and bidding strategies. Enhance User Experience: Monitor high exit rates or slow-loading pages to address potential issues. 9. Reporting and Dashboards