Slate AI: Re-Engaging Incomplete Applicants
  • 22 Aug 2025
  • 2 minute read
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Slate AI: Re-Engaging Incomplete Applicants

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Article summary

This article is part of our Slate AI series, each focused on a single, high-impact prompt, why it works, how to take it further, and how to make AI a partner in your process.

The prompt

“What strategies can I use to re-engage students who started but didn’t finish their application?”

This might seem like a basic communications question, but it’s actually an opportunity to rethink how you interpret behavior, personalize outreach, and design interventions that scale.

Here’s why this prompt is powerful:

  • It’s specific: focusing on a well-known, high-value segment.

  • It’s proactive: aiming to re-engage before the student self-selects out.

  • It’s holistic: inviting the AI to suggest a mix of tactics, timing, and tone.

Why it works

This prompt asks Slate AI to consider communication in terms of momentum.

Here’s why it’s effective:

  • Clear Focus: The group is defined: students who started the application but didn’t finish. You’re not asking about general prospect engagement. You’re targeting students with intent, but no follow-through (yet).

  • Behavior-Driven Framing: This prompt is based on action (or inaction). That provides AI with a behavioral anchor to work with, enabling it to suggest more tailored strategies.

  • Outcome-Oriented Language: Words like “strategies” and “re-engage” position this as a prompt for movement and messaging. You’re asking AI to help you change outcomes instead of just describing problems.

What Slate AI might say

You might get a response like:

  • “To re-engage incomplete applicants, consider:

  • Sending a dynamic reminder email personalized with their application start date and status

  • Highlighting benefits of completing the application, such as scholarship consideration or priority review

  • Offering a short checklist of what’s left to complete

  • Using SMS nudges with helpful links or deadline reminders

  • Asking a simple question like: ‘Need help finishing your app?’ with a link to schedule a quick call”

It may also recommend structuring this as a multi-touch campaign or suggest rules to automate delivery based on the duration of inactivity.

The power of a follow-up

Follow-up prompts can take general advice and make it implementation-ready.

A strong next prompt could be:

“Can you draft a 3-part re-engagement campaign based on these suggestions?”

From there, Slate AI could provide:

  • A first-touch email emphasizing ease and value

  • A second-touch SMS focusing on urgency or deadlines

  • A third-touch support offer: “Let us know how we can help”

And if you’re working in Deliver, you can then ask it to help convert those messages into structured content.

Try reframing It

Even a small change in wording opens new possibilities:

“...for adult learners”

Shifts tone and support resources

“...who stopped after starting but never submitted documents”

Narrows to a data-triggered segment

“...using only SMS and portal content”

Limits channels and focuses the strategy

“...based on best practices”

Invites best-practice synthesis

Each variation tweaks the kind of insight you’ll receive, from broad strategy to channel-specific execution.

Prompt template

“What strategies can I use to re-engage [population] who [behavior]?”

Try swapping in these options:

Admitted students

haven’t visited campus

Prospects

haven’t opened emails in 30+ days

Event registrants

no-showed their interview

Current users

haven’t logged in since onboarding

Your turn

Here are a few follow-up prompts you can try:

  • “What kind of subject line would work best for a student who started but didn’t finish?”

  • “Write a text message that feels personal and low-pressure.”

  • “What’s the best time of day to send re-engagement messages for high school juniors?”

When it comes to re-engagement, small changes can unlock big outcomes, and Slate AI is here to help you find the right moment, the right message, and the right move.


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