E-commerce User Behavior Analysis: Pinpointing Conversion Bottlenecks and Sales Growth Strategies

As an expert e-commerce data analyst, analyze the provided user interaction data to identify critical conversion barriers within the specified funnel. **1. Data Context:** - Raw User Interaction Data Description: {{raw_user_interaction_data}} - Defined Conversion and Current Rate: {{conversion_definition_and_current_rate}} - Analysis Time Period: {{analysis_time_period}} **2. Analysis Focus:** - Key Conversion Funnel Stages to Examine: {{key_conversion_funnel_stages}} - Prioritized Metrics for Barrier Identification: {{metrics_to_prioritize}} **3. Output Requirements:** - Desired Recommendation Focus: {{desired_recommendation_focus}} - Target Audience for Recommendations: {{target_audience_for_recommendations}} - Preferred Output Format and Detail Level: {{output_format_and_detail}} Based on this, provide: a) A clear identification of the top 3-5 conversion barriers, supported by data insights. b) Quantify the potential impact (e.g., lost revenue, lost conversions) of each identified barrier. c) Actionable, data-driven recommendations for each barrier to optimize the user journey, improve conversion rates, and increase sales. d) Suggest specific A/B tests or follow-up analyses to validate proposed improvements.