Measurement Framework
Measurement Overview
This measurement framework outlines our approach to tracking, analyzing, and optimizing the performance of our multi-channel doctor recruitment campaign. The framework is designed to provide actionable insights at each stage of the recruitment funnel, enabling data-driven decision-making throughout the campaign.
Key Performance Indicators (KPIs)
Primary KPIs
- Doctor Applications: Total number of qualified doctors who complete the partnership application
- Cost Per Application (CPA): Total ad spend divided by number of applications
- Application Conversion Rate: Percentage of landing page visitors who complete an application
- Doctor Onboarding Rate: Percentage of applicants who complete the onboarding process
- Cost Per Acquisition (CPA): Total cost to acquire a fully onboarded doctor partner
- Geographic Coverage: Number of target metropolitan areas with at least 3 doctor partners
Secondary KPIs
- Click-Through Rate (CTR): Percentage of ad impressions that result in clicks
- Landing Page Conversion Rate: Percentage of visitors who take a desired action (form submission, call, etc.)
- Information Session Attendance: Number of prospects who attend virtual information sessions
- Information Session Conversion Rate: Percentage of attendees who proceed to application
- Email Open Rate: Percentage of recruitment emails opened by recipients
- Email Response Rate: Percentage of recruitment emails that receive a response
Quality Metrics
- Qualification Rate: Percentage of applicants who meet all qualification criteria
- Specialty Distribution: Breakdown of recruited doctors by medical specialty
- Experience Level: Average years of experience among recruited doctors
- Geographic Distribution: Spread of recruited doctors across target markets
- Availability Commitment: Average hours per week doctors commit to the platform
Tracking Implementation
Technical Setup
- UTM Parameters: Consistent UTM tagging across all platforms (source, medium, campaign, content)
- Google Analytics: Enhanced ecommerce tracking for conversion funnel analysis
- Platform Pixels: Implementation of LinkedIn Insight Tag, Facebook Pixel, and Google Ads conversion tracking
- Event Tracking: Custom events for key user interactions (form starts, partial completions, etc.)
- Cross-Domain Tracking: Proper configuration for tracking across multiple domains if applicable
- CRM Integration: Passing of UTM data to CRM for attribution through the full recruitment cycle
Conversion Tracking Points
- Initial Landing Page Visit: Track source, time on page, and bounce rate
- Information Request Form: Track form starts, partial completions, and submissions
- Information Session Registration: Track registrations and attendance
- Partnership Application: Track application starts, partial completions, and submissions
- Document Upload: Track credential submission completion
- Contract Signing: Track contract review and completion
- Onboarding Completion: Track completion of training modules and profile setup
Reporting Framework
Daily Monitoring
- Ad performance metrics by platform (impressions, clicks, CTR, CPC)
- Landing page traffic and conversion rates
- Form submission volume
- Spend pacing against budget
- Technical issue identification
Weekly Analysis
- Comprehensive performance review by platform, ad format, and audience
- Conversion funnel analysis with drop-off identification
- A/B test results and implementation of learnings
- Budget allocation recommendations
- Creative performance analysis
- Audience insights and targeting recommendations
Monthly Reporting
- Comprehensive campaign performance against KPI targets
- Doctor recruitment progress by geography and specialty
- Cost efficiency analysis and optimization opportunities
- Channel attribution analysis
- Quality assessment of recruited doctors
- Strategic recommendations for upcoming month
Optimization Framework
Continuous Optimization Process:
- Data Collection: Gather performance data across all platforms and touchpoints
- Analysis: Identify patterns, opportunities, and underperforming elements
- Hypothesis Formation: Develop theories about potential improvements
- Test Design: Create structured tests to validate hypotheses
- Implementation: Execute tests with proper control groups
- Evaluation: Measure results against baseline performance
- Scaling: Implement successful changes broadly
- Documentation: Record learnings for future campaigns
Key Optimization Areas:
- Audience Targeting: Refine audience parameters based on performance data
- Creative Elements: Test messaging, visuals, and value propositions
- Landing Page Experience: Optimize layout, content, and form design
- Bid Strategy: Adjust bidding approach based on performance by platform and audience
- Budget Allocation: Shift budget to highest-performing channels and tactics
- Recruitment Process: Streamline application and onboarding steps based on drop-off analysis