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I. Teacher/Admin Analytics Dashboard (Focus: Course Effectiveness & Student Progress)

  • Goal: Understand how students are engaging with the course content, where they might be struggling, and the overall effectiveness of the training in driving student success (indicated by their usage and potential self-reported results).
  • Key Metrics & KPIs:
    • Enrollment Rate: (If applicable, comparing landing page views to enrollments).
    • Module Completion Rates: % of students completing each module (0-9). Identifies potential drop-off points in the course itself.
    • Average Time Spent per Module: Indicates engagement level or difficulty.
    • Playbook Prompt Usage Rate: (If trackable within the system) % of students actively using prompts for each module. Which prompts are most/least popular?
    • Worksheet/Template Download Rate: Indicates engagement with practical tools.
    • Community Engagement Rate (If applicable): Activity level, questions asked per module topic.
    • Support Query Volume (by Module): Where are students most frequently asking for help?
    • Course Completion Rate: % of students finishing the entire course.
    • CSAT/NPS (Course Specific): Student satisfaction with the course content and structure.
    • Self-Reported Student Results (Qualitative/Surveys): Case studies, testimonials, reported % increase in their own Ecom metrics after applying the framework.
  • Dashboard Visualizations:
    • Course Funnel: Enrollment -> Module 1 Completion -> … -> Module 9 Completion -> Final Project/Result.
    • Module Progress Bars: Visualizing average completion across all students for each module.
    • Prompt Usage Heatmap: Showing which module’s prompts are used most often.
    • Support Ticket Trends: Line graph showing query volume per module topic over time.
    • Student Testimonial Showcase: Featuring key success stories.
  • Integration: Data primarily comes from the Learning Management System (LMS) or course platform, potentially combined with community platform analytics and periodic student surveys.

II. Student Analytics Dashboard (Focus: Implementing & Optimizing Their Elevate Framework)

  • Goal: Provide the student (Ecom Owner/Marketer using the ONE system) with clear insights into how their implementation of the Elevate Framework is performing for their business, allowing them to diagnose bottlenecks and optimize effectively. This directly mirrors the detailed framework analytics we outlined previously.
  • Key Metrics & KPIs (Grouped by Elevate Level):
    • ATTRACT (Hook, Gift, Identify):
      • Hook CTRs (by channel/angle)
      • Gift Landing Page Conversion Rate
      • Cost Per Lead (CPL)
      • Overall Leads Generated
      • Flow-Through: % Leads from Hook Clicks
    • CONVERT (Engage, Sell, Nurture):
      • Sales/Product Page Conversion Rate
      • Add-to-Cart Rate
      • Checkout Completion Rate
      • Nurture Email Engagement & Conversion Rates
      • Retargeting ROAS
      • Assisted Conversion Rate (from Engage)
      • Cost Per Acquisition (CPA)
      • Overall Lead-to-Customer Conversion Rate
    • GROW (Upsell, Educate, Share):
      • Upsell Take Rate & AOV Impact
      • Repeat Purchase Rate & Churn Rate
      • Customer Satisfaction (CSAT/NPS)
      • Review Generation Rate & Avg. Rating
      • Referral Conversion Rate
      • Customer Lifetime Value (CLTV)
  • Dashboard Visualizations:
    • Primary Elevate Funnel View: Visualizing the flow Reach -> Leads -> Customers -> Repeat Buyers -> Advocates with key conversion rates between stages.
    • Level-Specific Dashboards: Drill-downs for ATTRACT, CONVERT, GROW showing the relevant step KPIs and flow-through rates within that level.
    • Channel Performance Comparison: Tables/Charts showing performance (Leads, CPL, CPA, Sales) broken down by traffic source (e.g., Facebook Ads, Google Organic, Email).
    • Trend Lines: Key metrics (Leads, Sales, CPA, AOV, CLTV) over time (Week/Month/Quarter).
    • A/B Test Tracking Area: A section to input and monitor results of specific tests run on Hooks, Gifts, Sell Pages, Emails etc.
  • Integration: Requires the student to connect their own data sources. This is the major technical challenge. Potential integrations:
    • Google Analytics 4 (Requires proper event/goal setup by student).
    • Ecom Platform Analytics API (Shopify, WooCommerce etc.).
    • Ad Platform APIs (Meta, Google Ads).
    • ESP/CRM APIs (Klaviyo, Mailchimp etc.).
    • (The ONE system ideally provides wizards or guides for these integrations, or uses tools like Looker Studio with connectors).

III. End Customer Analytics (Focus: Their Journey Experience - Visualized for the Student)

  • Goal: Help the student visualize how individual or segmented groups of their customers are moving through the implemented Elevate Framework. This data is primarily viewed and interpreted by the student via the Guide Agent or Student Dashboard.
  • Key Metrics & KPIs (Tracked per Customer/Segment):
    • Source/Hook: Which channel/campaign brought them in?
    • Gift Opt-in: Did they receive the Gift? Which one?
    • Lead Status: Identified, Engaged (Chat?), In Nurture Sequence, Purchased.
    • Purchase History: First Purchase Date, Items Bought, AOV, Upsell Taken (Y/N).
    • Onboarding Status (Educate): Opened Welcome Emails? Clicked Tutorial Links? (Requires ESP tracking).
    • Advocacy Status (Share): Left Review? Referred Others? (Requires Review/Referral Platform integration).
    • Time Between Stages: How long from Identify to Sell? How long from Sell to Repeat Purchase?
    • Segment Performance: Compare journey progression for different lead segments (e.g., ‘Checklist Downloaders’ vs. ‘Webinar Attendees’).
  • Dashboard Visualizations (Within Student’s ONE System, potentially via Guide Agent):
    • Customer Journey Map (Visualized): Show the typical path/timeline customers take through the 9 steps, highlighting conversion rates and time lags.
    • Segment Comparison: Side-by-side funnel views for different lead source tags or customer segments.
    • Individual Customer Timeline (CRM View - Future State): See a specific customer’s interaction history mapped against the Elevate steps (requires deep CRM integration).
  • Integration: Relies heavily on data being captured correctly with consistent tagging in the ESP/CRM (from IDENTIFY onwards) and potentially advanced integration with analytics platforms to stitch sessions together.

Summary:

  • Teacher: Focuses on course engagement and student success metrics.
  • Student: Focuses on their own business performance mapped against the Elevate Framework steps, requiring integration with their tools.
  • End Customer: Their journey is tracked and visualized for the student to understand flow, bottlenecks, and segment performance across the framework stages.

Implementing the Student Dashboard requires the most technical integration effort but provides the highest direct value by showing them the real-world impact of implementing the Elevate system on their specific business. The Guide Agent acts as the interpreter of this customer journey data for the student.

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