Digital Advertising Placement Process Services

The vendor is required to provide to Significantly improve digital advertising placement processes and performance reporting capabilities for managing and optimizing digital advertising, paired with continuous access to advanced marketing analytics dashboards, ultimately ensuring maximum return on advertising spend (ROAS).  
-  Partner will manage all media and advertising buying across digital channels including, but not limited to, search marketing, social media marketing, display advertising, digital billboards, and streaming audio/video.
- Provide average lifetime revenue data by student demographics (undergraduate, graduate, adult learners, etc.) to assist accurate ROAS calculations. 
- KPIs may be collaboratively determined as needed.
- Demonstrate experience successfully implementing multi-touch attribution Specifically within higher education marketing. 
- Documentation must include:
•    Clear examples of higher education institutions utilizing multi-touch  attribution 
•    Demonstrated success directly linking marketing Efforts to student enrollment and revenue outcomes 
•    demonstrated Efficiency improvements and optimization in advertising spend attributable to multi-touch attribution methods
- Due to the central role of slate CRM at SIU, the vendor must demonstrate a history of successfully integrating advanced analytics platforms with slate CRM. 
- Documentation should Confirm:
•    successful and secure API integration with slate CRM 
•    automated synchronization of slate data with analytics dashboards, including student interactions, enrollment stages, application statuses, and revenue metrics 
•    Demonstrated experience creating a comprehensive, unified analytics dashboard utilizing SLATE CRM data.
- The analytics platform must Offer an unlimited, multi-year conversion lookback window enabling full visibility into extended student recruitment journeys.
- Analytics platform must provide predictive analytics and prescriptive insights utilizing AI and machine learning. 
- Demonstration must include: 
•    predictive analytics clearly forecasting future enrollment trends and marketing performance based on historical and real-time data 
•    prescriptive analytics delivering clear, actionable strategic recommendations within analytics dashboards 
•    demonstrated results and optimization improvements directly resulting from AI-driven analytics
- Provide a fully integrated analytics solution specifically optimized for higher education recruitment and enrollment marketing. 
- The integrated analytics platform must include:
•    Unified dashboards combining web Traffic, paid media, slate CRM data, enrollment funnel analytics, and tuition revenue 
•    proven use-cases demonstrating Efficiency gains, revenue increases, and improved enrollment yield directly resulting from platform use 
 - Clearly demonstrate a strong history of digital marketing experience Specifically within higher education, including: 
•    Multiple documented examples highlighting measurable improvements in marketing spend Efficiency, student enrollment optimization, and revenue growth 
•    Clear evidence of expertise addressing unique challenges and strategic needs Specific to higher education marketing, recruitment, and enrollment management 
 - The analytics solution must Offer a single, Unified dashboard seamlessly combining multi-touch attribution analytics and paid media insights. 
- Documentation must demonstrate: 
•    Dashboard clearly integrating attribution analytics alongside paid media performance metrics 
•    Unified reporting and analytics capabilities providing real-time, actionable insights into the Effectiveness of digital media channels in driving enrollments and revenue 
•    Demonstrated examples clearly showing increased marketing Efficiency resulting from unified attribution and media analytics.