SayPro Track uplift in program engagement

Segmentation Impact Uplift Tracking Framework

1. Program Engagement

Metric	Definition	Baseline (Q4 2024)	Target (Q2 2025)	Data Source
Course Completion Rate	% of enrolled participants completing training	62%	75%	LMS, SCORM logs
Average Session Duration	Time users spend per session	11 min	15 min	Platform analytics
Repeat Engagement Rate	% of users who return for additional modules or events	38%	50%	CRM + event data
Event Participation	Attendance vs. invited by segment	Varies	+30% uplift	Attendance logs, invite databases

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2. Service Delivery Accuracy

Metric	Definition	Baseline	Target	Data Source
Segment-Specific Content Match	% of users receiving correctly tailored content	55%	85%	CRM tagging, LMS tracking
Language Fit Accuracy	% of materials delivered in preferred language	67%	90%	Feedback forms, chatbot logs
Support Response Alignment	% of queries resolved with correct segment-based resources	62%	80%	Helpdesk + chatbot logs
Timely Follow-Up Rate	% of support or coaching delivered within defined timelines	49%	70%	Case management system

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3. Targeting Success

Metric	Definition	Baseline	Target	Data Source
Correct Segment Reach	% of outreach reaching intended demographic/geographic group	60%	85%	Campaign logs, survey match checks
First-Contact Conversion	% of new users converted via 1st communication	18%	30%	Campaign analytics
Region-Specific Uplift	Engagement growth in underperforming provinces	Limpopo: +5%, NC: +2%	+20% per region	Provincial analytics
Behavioral Target Match	% of behavioral nudges delivered to correct audience	50%	75%	Behavioral AI logs

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🔁 Monitoring Cadence

Activity	Frequency	Owner
Segment uplift dashboard update	Monthly	Digital/Data Team
Departmental performance reviews	Quarterly	Ops + Program Leads
Segmentation accuracy audit	Bi-annually	Research & M&E Team
Executive report on impact	Bi-annually	Strategic Lead (Echinia)