The Vendor is required to provide Omni-channel marketing enrollment technology with artificial intelligence to improve the effectiveness, efficiency and scalability of outreach to prospective undergraduate students and their families to achieve enrollment.
- Requirement:
• Rather than relying primarily on predefined campaigns and static workflows, the desired comprehensive solution provides an environment where outreach continuously evolves based on each student's interests, behaviors, engagement history, and demonstrated intent.
• The comprehensive technology solution must enable highly personalized engagement at scale, whether through empowering internal teams to operate more efficiently or through managed services delivered with institutional oversight.
• Solutions should support dynamic segmentation, agentic and ai-enabled engagement, and synchronized experiences across digital and relational channels while maintaining transparency, privacy, and institutional control.
• Key areas of measurement will include how channels independently or together contribute to success at all funnel stages (inquiry → application → admit → deposit → enroll).
• The comprehensive technology should reduce customer friction points, strengthen marketing and frontline insights about student needs, and improve enrollment outcomes by delivering scalable, individualized outreach to each student at the right moment in their journey.
• Proposers must itemize which channels are covered with their comprehensive solution. Channels included should also be reflected in the pricing proposal.
• Potential channels include:
• Email (bulk, triggered, segmented, personalized)
• SMS / text messaging
• Web forms and inquiry capture
• Web conversational interfaces (search, chatbots)
• Web / CMS (landing pages, microsites, etc.)
• Other – if proposing other channels, please describe.
• Demonstrate impact on key funnel stages to drive enrollment.
• Leverage ai to provide agentic vs prescriptive outreach and messaging that builds audience trust, enhances university’s reputation and drives conversion goals.
• Every communication is dynamically generated based on each student’s unique profile, behaviors, interests, engagement history, and intent.
• Technology is not based on static workflows or simple mail merges.
• Ai continuously adapts future messaging based on CRM data and previous signals, including behavior and engagement across channels rather than solely following predetermined communication paths
• Engagement must be synchronized across multiple channels with contextual awareness across every interaction.
• Core data sets supporting signal delivery across key channels are university’s website and slate CRM.
• Enable rapid market deployment when needed for new audiences or initiatives.
• Real-time data reporting and insights on performance with the ability to comprehensively evaluate overall conversion impact to the funnel at key stages.
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