Lynn University Hit a 25% Email Click-Through Rate. Here's How.

Lynn University runs a tight enrollment operation. Their team wanted to reach students on every channel—phone, SMS, email—without copy-pasting the same message and calling it personalization.

The problem: keeping outreach consistent, contextual, and scalable across channels is genuinely hard. One student might text at 11pm. Another might call the next morning. The conversation needs to pick up where it left off.

Lynn partnered with Halda to deploy the AI Student Recruiter—context-aware agents integrated directly into their Slate CRM. No new knowledge bases. No lengthy onboarding. Within a week, Lynn had a 24/7 student engagement system that knew each student's history and responded accordingly.

The Challenge: Personalization at Scale

Lynn's enrollment team had three clear goals going in:

• Every interaction needed to feel intentional and tailored to where a student was in the funnel and what their next logical step should be.
• Communication had to flow seamlessly across phone, SMS, and email. No channel amnesia. If a student texted Monday and called Wednesday, the AI needed to know what was discussed.
• The solution couldn't add complexity. Lynn wanted to amplify what their team was already doing, not bolt on a new platform that required a full-time admin to manage.

Those three constraints defined the brief. Halda was built for exactly this.

The Solution: AI Student Recruiter, Deployed in Under a Week

Lynn ran a pilot of Halda's AI Student Recruiter. The focus was on building on top of Lynn's existing infrastructure, not replacing it.

Context-Aware Phone and SMS Agents

Halda's agents hold full contact histories. When a student texts about financial aid at 11pm, the AI responds with specifics, not a generic 'great question, we'll follow up.' When they call back the next day, the conversation continues where it left off.

This isn't a chatbot reading from a FAQ. It's a system that knows what was asked, what was answered, and what still needs to happen.

Behaviorally Triggered 1-to-1 Emails

Halda's integration with Lynn's Slate CRM enabled emails triggered by real student behavior—not calendar dates.A student who visited the financial aid page without completing an application step got a relevant, personalized follow-up. Not a blast. Not a drip sequence. A message that reflected what they actually did.

Student-Controlled Channel Switching

Students chose their preferred channel and switched freely. Phone, SMS, email—all connected. A student who started a conversation via SMS could pick it up over email without repeating themselves.

Fast Implementation, No New Knowledge Bases

Halda deploys by reading an institution's existing website—its primary source of truth. Unlike platforms that require building out a separate knowledge base, Halda was live at Lynn in under a week. No new platforms. No extensive onboarding.

The Results

Lynn's AI Student Recruiter deployment produced measurable outcomes across every metric the team tracks:

Email Engagement

• 25% click-through rate on Halda-powered emails—five times the higher ed industry average.
• Students who received behaviorally triggered Halda emails revisited Lynn's site 45% more often than those who didn't.

Student Availability

• 70% of student-AI interactions happened outside business hours—cutting wait times and letting students move on their ownschedule.

Conversation Volume

• SMS: 74 unique conversations, 567 messages, averaging 4questions per student.
• Phone: 33 AI-assisted calls, averaging 2.5 minutes each.

Student Feedback

Unprompted responses from students using the system:

"It helped me figure out what to do next. Thank you for this feature."

"I received answers on my time without waiting for a response or needing to schedule an appointment."

"It was quick and helpful."

"Got my answers quickly!"

What This Means for Enrollment Teams

Lynn's results aren't a fluke. They're what happens when AI engagement is built on context instead of campaigns.

A 25% CTR doesn't come from better subject lines. It comes from messages that arrive at the right moment, reference the right behavior, and ask students to take a step that actually makes sense for them.

The 70% after-hours interaction rate tells the other half of the story. Students don't wait for office hours anymore. The enrollment teams that meet them where and when they are will outperform the ones that don't.

Lynn's deployment took less than a week and required no new platforms. The AI reads from what's already there. That's the model.