{"id":1906,"date":"2024-12-26T07:15:13","date_gmt":"2024-12-26T07:15:13","guid":{"rendered":"https:\/\/synctrack.io\/?post_type=knowledgebase&p=1906"},"modified":"2024-12-26T07:19:52","modified_gmt":"2024-12-26T07:19:52","slug":"analytics-dashboard","status":"publish","type":"knowledgebase","link":"https:\/\/synctrack.io\/knowledge-base\/edd\/estimate-rule\/analytics-dashboard\/","title":{"rendered":"Analytics dashboard"},"content":{"rendered":"\n

The Analytics Dashboard<\/strong> provides key metrics and insights into the performance of your Estimated Time of Arrival (ETA) banners. Here\u2019s how you can use this data to refine your strategy and boost customer engagement and conversions.<\/p>\n\n\n\n

<\/p>\n\n\n\n

Understand the metrics<\/h2>\n\n\n\n

Knowing what each metric represents is crucial for actionable insights. While the dashboard offers an overview of key metrics at the top for quick reference, it\u2019s best to start at the rule-level metrics (bottom-up) to identify specific opportunities for optimization.<\/p>\n\n\n\n

<\/p>\n\n\n\n

Rule-Level Metrics<\/h3>\n\n\n\n
\"\"<\/figure>\n\n\n\n


The Performance by Rules Table<\/strong> is where you can assess the granular performance of individual ETA rules. This helps identify which rules are driving conversions or where improvements are needed.<\/p>\n\n\n\n

    \n
  • Rule Name<\/strong>: The name of the ETA rule being evaluated.<\/li>\n\n\n\n
  • Products<\/strong>: The total number of products associated with this rule.<\/li>\n\n\n\n
  • PDP Visits (Product Detail Page Visits)<\/strong>: Number of visitors who viewed product pages where the rule\u2019s banner was applied.<\/li>\n\n\n\n
  • Impressions<\/strong>: Total times the ETA banner associated with the rule was displayed.<\/li>\n\n\n\n
  • Hovers<\/strong>: Number of times customers hovered over the ETA banner.<\/li>\n\n\n\n
  • Clicks<\/strong>: Number of clicks on the ETA banner.<\/li>\n\n\n\n
  • ATC (Add to Cart)<\/strong>: Total number of times products associated with the rule were added to the cart.<\/li>\n\n\n\n
  • %ATC (Add-to-Cart Rate)<\/strong>: Percentage of PDP visitors who added products with this rule to their cart. Formula: %ATC = 100 * (ATC \/ PDP Visits)<\/li>\n\n\n\n
  • %CTR (Click-Through Rate)<\/strong>: Percentage of impressions that resulted in clicks on the banner. Formula: %CTR = 100 * (Clicks \/ Impressions)<\/li>\n\n\n\n
  • %Engage (Engagement Rate)<\/strong>: Percentage of impressions that resulted in any interaction (hover, click, or add to cart). Formula: %Engage = 100 * (Hovers + Clicks + ATC) \/ Impressions<\/li>\n<\/ul>\n\n\n\n

    How to apply:<\/strong><\/p>\n\n\n\n

      \n
    • Identify strengths and weaknesses<\/strong>:\n
        \n
      • Look for rules with high %ATC<\/strong> (Add-to-Cart Rate) or %CTR<\/strong> (Click-Through Rate). These indicate rules that are performing well.<\/li>\n\n\n\n
      • Identify rules with low engagement (few hovers, clicks, or ATC) and review their setup\u2014are they targeting the right products, or is the messaging unclear?<\/li>\n<\/ul>\n<\/li>\n\n\n\n
      • Suggested action<\/strong>s: Start by improving your lowest-performing rules first; small adjustments like clarifying delivery times or enhancing visuals can significantly boost engagement and conversions.\n
          \n
        • Low Impressions<\/strong>: Expand the rule\u2019s scope by including more products, categories, or regions.<\/li>\n\n\n\n
        • Low CTR but High Hovers<\/strong>: Improve the call-to-action or make the banner design more compelling.<\/li>\n\n\n\n
        • High CTR but Low ATC<\/strong>: Review the delivery message\u2014long delivery times may discourage purchases.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

          <\/p>\n\n\n\n

          Overview metrics<\/strong><\/h3>\n\n\n\n
          \"\"<\/figure>\n\n\n\n


          The Average Performance Rates<\/strong> and Total Counts<\/strong> provide a top-down overview of how your ETA banners perform across all active rules. Use these metrics to understand the overall health of your banner strategy.<\/p>\n\n\n\n

            \n
          • Average performance rates: <\/strong>Calculated as an average across all active rules.\n
              \n
            • Add-to-Cart Rate (ATC)<\/strong>: Percentage of customers who added products to their cart after interacting with an ETA banner.
              Formula: ATC = 100 * (Add to Cart \/ Product Page Visits)<\/li>\n\n\n\n
            • Click-Through Rate (CTR)<\/strong>: Percentage of impressions that resulted in clicks on the ETA banner.
              Formula: CTR = 100 * (Click \/ Impressions)<\/li>\n\n\n\n
            • Engagement Rate<\/strong>: Percentage of customers who hovered, clicked, or interacted with the banner in any way.
              Formula: Engagement = 100 * (Hover + Click + Add to Cart) \/ Impressions<\/li>\n<\/ul>\n<\/li>\n\n\n\n
            • Total Counts\n
                \n
              • Active Rules<\/strong>: Total number of active ETA rules.<\/li>\n\n\n\n
              • Products<\/strong>: Total number of products with ETA banners applied.<\/li>\n\n\n\n
              • PDP Visits<\/strong>: Number of visitors to product pages.<\/li>\n\n\n\n
              • Impressions<\/strong>: Number of times ETA banners were displayed.<\/li>\n\n\n\n
              • Hover<\/strong>: Number of hover interactions on banners.<\/li>\n\n\n\n
              • Click<\/strong>: Number of clicks on ETA banners.<\/li>\n\n\n\n
              • Add to Cart<\/strong>: Number of times products with ETA banners were added to the cart.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

                How to apply:<\/strong> Use these metrics to identify trends across all rules and to validate whether individual rule adjustments are improving your overall performance.<\/p>\n\n\n\n

                  \n
                • Identify system-wide patterns<\/strong>:\n
                    \n
                  • CTR<\/strong>: If the overall click-through rate is low, it could indicate a broader issue with banner messaging or visibility across the store.<\/li>\n\n\n\n
                  • ATC<\/strong>: A low add-to-cart rate suggests that delivery times or product pricing may not align with customer expectations.<\/li>\n\n\n\n
                  • Engagement Rate<\/strong>: A low rate might mean customers are overlooking banners altogether\u2014consider experimenting with colors, positioning, or messaging.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                  • Focus on Totals<\/strong>:\n
                      \n
                    • Impressions and PDP Visits<\/strong>: Ensure banners are consistently displayed across your product pages.<\/li>\n\n\n\n
                    • Hover and Click Totals<\/strong>: A higher hover-to-click ratio suggests curiosity but hesitation\u2014optimize the call-to-action to drive clicks.<\/li>\n\n\n\n
                    • Add-to-Cart Totals<\/strong>: Use this as a core indicator of whether your delivery promises are influencing purchase decisions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n


                      Performance Over Time Chart<\/strong><\/h3>\n\n\n\n

                      This visualizes key metrics (PDP visits, impressions, hover, clicks, add to cart) across the selected timeframe for easy trend analysis. It is a powerful tool for spotting trends and measuring the impact of your ETA banners. Use it to ensure your adjustments are having the desired effect.<\/p>\n\n\n\n

                      \"\"<\/figure>\n\n\n\n

                      How to apply: <\/strong>Use the chart to regularly assess long-term trends and ensure that your optimizations are not only boosting metrics short-term but also contributing to sustained improvements.<\/p>\n\n\n\n

                        \n
                      • Monitor the impact of rule changes<\/strong>: After adjusting a rule (e.g., shortening delivery times, changing messaging), check for improvements in impressions, CTR, or ATC in the days that follow.<\/li>\n\n\n\n
                      • Track seasonal or campaign-driven trends<\/strong>: Use the chart to measure how your banners perform during high-traffic periods like holidays, sales, or product launches.<\/li>\n\n\n\n
                      • Spot and solve issues<\/strong>: Sudden drops in metrics could indicate technical issues, like banners not displaying correctly, or a mismatch between delivery times and customer expectations.<\/li>\n<\/ul>\n\n\n\n

                        <\/p>\n\n\n\n

                        Bottom line: Turning metrics into business growth<\/h2>\n\n\n\n

                        The Analytics Dashboard isn\u2019t just a reporting tool\u2014it\u2019s a resource for actionable insights that can directly impact your business performance. To make the most of it, regularly check your dashboard, starting with rule-level insights, to continuously refine your approach and ensure your banners contribute to customer satisfaction and sales growth.<\/p>\n\n\n\n

                          \n
                        • Refine delivery messaging<\/strong>: Use rule-level metrics to identify what works and replicate success across similar products or regions.<\/li>\n\n\n\n
                        • Enhance the customer journey<\/strong>: With data on CTR, hover, and ATC, you can ensure banners provide clear, relevant information, reducing abandoned carts and improving trust.<\/li>\n\n\n\n
                        • Maximize marketing ROI<\/strong>: Tie high-performing rules to campaigns, focusing resources where engagement and conversions are highest.<\/li>\n\n\n\n
                        • Build a data-driven strategy<\/strong>: Leverage trends to proactively adjust for seasonal demand or emerging customer preferences.<\/li>\n<\/ul>\n\n\n\n

                          <\/p>\n","protected":false},"excerpt":{"rendered":"

                          The Analytics Dashboard provides key metrics and insights into the performance of your Estimated Time of Arrival (ETA) banners. Here\u2019s how you can use this data to refine your strategy and boost customer engagement and conversions. Understand the metrics Knowing […]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","template":"","knowledgebase_cat":[266],"class_list":["post-1906","knowledgebase","type-knowledgebase","status-publish","hentry","knowledgebase_cat-estimate-rule"],"acf":[],"_links":{"self":[{"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/knowledgebase\/1906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/knowledgebase"}],"about":[{"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/types\/knowledgebase"}],"author":[{"embeddable":true,"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/comments?post=1906"}],"version-history":[{"count":1,"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/knowledgebase\/1906\/revisions"}],"predecessor-version":[{"id":1910,"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/knowledgebase\/1906\/revisions\/1910"}],"wp:attachment":[{"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/media?parent=1906"}],"wp:term":[{"taxonomy":"knowledgebase_cat","embeddable":true,"href":"https:\/\/synctrack.io\/wp-json\/wp\/v2\/knowledgebase_cat?post=1906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}