The percentage of visitors
Data Sources: Google Analytics (GA4), other web analytics platforms. Bounce Rate: What it measures: who leave your website after viewing only […]
Data Sources: Google Analytics (GA4), other web analytics platforms. Bounce Rate: What it measures: who leave your website after viewing only […]
Data Collection: who didn’t convert (e.g., exit surveys on checkout page). Conduct post-course surveys with enrolled students to understand what they
Ensure your marketing efforts lead to actual course enrollments. Lead Scoring (Even for Coaches): Lead Qualification Data Analysis: Assign scores
Data Analysis: Crucial for immediate impact. Track CPL, CTR, conversion rate from ad click to lead, and ROI for each
Data Analysis: Identify keywords related to the problems your course solves and the solutions it offers (e.g., “how to start
Data Analysis: Track the entire lead journey from initial touchpoint to closed-won. Analyze conversion rates at each stage of the
Action: Promote webinars on specific pain points or new features (e.g., “Mastering Gamification with [Your Tool Name]”). Use registration data
Consideration: tool types (“Cloud-based vs. Desktop: Which is Right for You?”), webinars on “Streamlining Course Development with AI.” Decision: Case studies
(for retention, but impacts lead gen focus): Understand why customers leave competitors to inform your messaging for new lead acquisition.
Before any marketing activity, deep dive into who you’re selling to. In EdTech authoring tools, this is often multi-faceted. Primary
Budget Allocation Insights: If a competitor is heavily investing in a specific channel, it likely yields results. Analyze their approach
Robust Attribution Models: the full customer journey and the influence of various touchpoints (multi-touch attribution). This helps identify which channels contribute
While I cannot provide a real-time, current marketing strategy as my knowledge cutoff is in early 2023, I can certainly
Action: Implement winning variations and continuously test new hypotheses. IV. Continuous Improvement & Iteration Schedule recurring Data analysis is not
Qualitative Data: Understanding motivations, pain points, and preferences directly from leads/customers. NPS/CSAT Scores: Indirectly informs lead quality by showing customer