How to Run a LinkedIn Outreach Campaign Targeting Enrollment Executives at Universities and EdTech Companies (2026)

Quick Answer: You’ve built a list of enrollment leaders using Origami, which now has a built-in LinkedIn sequencer — so you can find, refine, and reach them all from one platform. This guide walks you through segmenting your list, writing a 3-touch sequence that actually works for Directors of Admissions, VPs of Enrollment, and EdTech enrollment executives, and launching it without ever exporting a CSV. If you follow the steps, expect reply rates between 18-26% and meetings booked with the right people.

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You already have a list of verified enrollment decision‑makers sitting in Origami. That list came from the exact prompt you used in how to build a list of Enrollment Executives at Universities and EdTech Companies — and it’s packed with names, emails, phone numbers, titles, company details, and enrichment data. Now we turn that raw list into a warm, sequenced LinkedIn campaign that feels personal because it is personal.

Here’s the workflow we’ll run through, and the one I use every time I launch a campaign for an enrollment‑tech or service provider:

1. Review the list you already have and segment it for LinkedIn (no rebuilding necessary)
2. Qualify who is actually worth a touch (and remove the noise)
3. Create a 3‑touch sequence with copy you can copy‑paste right now
4. Launch the whole thing from inside Origami and watch the replies roll in

Let’s get tactical.

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Step 1: Your list is already in Origami (here’s the prompt you used)

I won’t re‑build the wheel. If you followed the parent post, you already ran a prompt like this inside Origami:

Find Directors of Admissions, VPs of Enrollment Management, Chiefs of Student Recruitment, and equivalent roles at US universities with more than 5,000 students, and similar leadership roles at EdTech companies focused on enrollment, admissions CRM, student success platforms, and marketing automation for higher ed. Return LinkedIn profiles, verified emails, and enrichment notes.

Origami’s AI agent searched the live web, chained data sources, and returned a targeted list of 200–600 contacts — with verified names, emails, phone numbers, company info, and even signals like recent job changes or tech stack indicators. If you haven’t run that yet, the free plan gives you 1,000 credits (no card), so you can test the entire workflow for free. But this post assumes the list is already ready.

So open your Origami workspace and pull up that audience. You’ll see the list with columns for title, company, location, industry tags, and enrichment fields. Now we’ll make it ready for LinkedIn.

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Step 2: Refine and qualify — sort the real opportunities from the noise

Not every name belongs in a sequence. Your goal is to put 150–250 strong fits into the sequencer, not 600 random contacts. Here’s how I segment the list for this specific audience:

2.1 Cut roles that can’t buy or influence

Enrollment executives who influence tech purchasing usually hold VP, Director, Dean, or Chief titles directly tied to recruitment or enrollment. Remove any title that is too junior (coordinators, assistants, generic “administrators”) or too far removed (provosts, academic deans who don’t touch tech stacks).

What stays:

• VP / AVP of Enrollment Management
• Director of Admissions (undergraduate, graduate, online)
• Dean of Admission & Financial Aid
• Chief Enrollment Officer
• Director of Student Recruitment
• Head of Enrollment Marketing (often at larger schools)
• VP of Product (at EdTech companies selling to enrollment offices)
• Director of Customer Success (at EdTech where they influence renewal/expansion)

2.2 Split universities from EdTech

Create two sub‑lists. The pain points are different:

• University executives care about yield, melt, funnel yield prediction, cost‑per‑enrolled, and doing more with flat budgets.
• EdTech enrollment leaders care about product adoption, enrollment‑driven KPIs, pipeline velocity, and how their platform can demonstrate ROI to schools.

I’ll give you tailored messages for each below.

2.3 Apply a size filter

For universities, keep only those with >5,000 total students (or >2,000 if you sell to small private schools). For EdTech, filter by headcount or funding (Series A and above typically have bigger marketing and enrollment teams). Origami’s enrichment often includes employee count and funding info, so use that.

2.4 Look for triggers

Some Origami enrichment fields will show “recent job change” or “company growing fast.” Prioritise these. A Director of Admissions who moved to a new school 4 months ago is far more likely to entertain a discovery call than someone who has been there 8 years and already has a locked‑in stack.

After this step, you should have two clean, targeted lists:

• University Enrollment Leaders (120–180 names)
• EdTech Enrollment & Product Leaders (50–80 names)

Now we craft the sequence.

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Step 3: Create the LinkedIn sequence — your exact 3‑touch playbook

Inside Origami’s sequencer, you have two powerful options:

1. Paste your own templates – Write the 3‑touch sequence yourself, set the delays between touches (Day 1, Day 3, Day 7, or any cadence you like), and hit “Launch.”
2. Let the AI agent write it – You can simply prompt, “Generate a personalized 3‑day LinkedIn sequence for each lead based on their title, company, and industry,” and the agent will craft unique, profile‑specific messages for every contact automatically. But I still like to start with a solid human‑written template and let the agent personalise from there.

Below are the exact sequences I use for this audience. Copy them, tweak the variables, and paste them directly into Origami’s sequencer.

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Sequence for University Enrollment Executives

Day 1 – Connection request + note
Subject line: (No subject — just the connection note)

Hi [First Name] — I’ve been following [University]’s work on access and yield improvement. Most enrollment leaders I talk to are re‑evaluating their tech stack for 2026, trying to reduce manual touchpoints without losing the personal feel. Would love to connect and share a few patterns I’m seeing that are getting 3–5% yield lifts. – [Your Name]

(Word count: 68)

Day 3 – Follow‑up message (different angle)
Subject line: Quick thought on enrollment tech

Hi [First Name], thanks for connecting. I know [University] is probably deep into deposit season right now. I’ve been working with a few schools that replaced their standard drip campaigns with behaviour‑triggered nudges and saw melt drop noticeably. Happy to walk you through what the sequence looked like — no pitch, just the logic. Open to a 15‑min call next week?

(Word count: 73)

Day 7 – Final message (soft close)
Subject line: Wrapping up

Hi [First Name] — I’ll leave you with this. The schools that win enrollment battles in 2026 aren’t just sending more emails; they’re orchestrating exactly when and how they intervene in a student’s decision journey. If you ever want to bounce ideas on how to make that happen with your current team, my calendar’s open. No follow‑up after this. – [Your Name]

(Word count: 74)

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Sequence for EdTech Enrollment & Product Leaders

Day 1 – Connection request + note
Subject line: (None)

Hi [First Name] — I see you’re driving enrollment product strategy at [Company]. With more schools demanding proof of ROI before renewal, I’m curious if you’re exploring ways to surface predictive enrollment insights directly inside your platform. Would be great to connect and swap notes on what’s working in the vendor landscape this year.

(Word count: 62)

Day 3 – Follow‑up message (different angle)
Subject line: Enrollment analytics idea

Hi [First Name], thanks for connecting. I’ve been mapping the enrollment analytics space and noticed that vendors who embed a light CRM‑layer (not a full SIS) see 2x stickiness. Thought that might resonate given [Company]’s focus on enrollment outcomes. Want a 10‑minute look at the architecture pattern? I promise it’s quick.

(Word count: 63)

Day 7 – Final message (soft close)
Subject line: Last note

[First Name] — just one last thing. The most impressive enrollment products I’ve seen in 2026 are the ones that help a Director of Admissions answer “which admitted students will actually enroll?” in real time. If that’s a direction you’re kicking around, I’m happy to share how a few folks are doing it. If not, no worries at all. Enjoy the quarter.

(Word count: 71)

These templates are deliberately short — no one has time for long LinkedIn messages. The cadence (Day 1 → Day 3 → Day 7) gives enough breathing room without letting the conversation die. You can adjust the delays inside Origami to Day 1, Day 4, Day 8 if you prefer a slightly softer gap.

Segmentation note: Load your university list into one sequence draft and the EdTech list into another. Even if you use the AI agent to personalise later, the starting tone should feel native to each segment.

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Step 4: Send the sequence — all from inside Origami

Here’s where Origami really shines. You don’t export the list, you don’t open a separate outreach tool, you don’t sync anything. From the same dashboard where you built and refined your list, you:

1. Open the LinkedIn Sequencer tab.
2. Select the audience segment (e.g., “University Enrollment VPs”).
3. Paste your 3‑touch templates (or have the agent generate them).
4. Set delays — default is Day 1 / Day 3 / Day 7, but you can drag those around.
5. Hit Launch Sequence.

Origami’s built‑in LinkedIn sequencer sends connection requests (with your note) and automatically follows up with the subsequent messages when someone accepts. All touches are logged with timestamps. In the same view, you get real‑time stats: opens, clicks, accepts, and — most importantly — replies.

Prospect context stays in one place. While looking at a contact’s activity, you still see their enriched profile: title, company, tools used, pain‑point tags. You know instantly why you reached out and how the conversation connects to their world.

Automatic un‑enrollment. The moment anyone replies — even a simple “Thanks but not now” — they exit the sequence. No accidental breakup message after you’ve already booked the meeting. You can then move them to a manual follow‑up or mark as “not interested” with a single click.

One platform from list‑building to outreach. Find, enrich, sequence, send, track — all inside Origami. The sequencer itself is included on every paid plan. You only pay for the credits used to enrich leads. So once you’ve spent credits building the list, the actual sending costs you nothing extra. Paid plans start at $29/month, and you can test the entire flow with the free 1,000‑credit plan (no card).

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What response rates to expect, and when to tweak

For enrollment executives — assuming your list is well‑refined and your message feels credible — I typically see:

• Connection acceptance rate: 35–45%
• Reply rate from connected prospects: 18–26%
• Meetings booked per 100 touches: 8–14

These numbers assume you aren’t spraying and praying. If your response rate falls below 12%, the first thing to change is your messaging, not your list. Test a different Day‑3 angle. If you still see low replies after two tweaks, revisit your list segments — maybe you’re too broad on title or not prioritising recent job moves.

And if you’re seeing high acceptance but low replies, the follow‑up message likely lacks a concrete, low‑lift offer. Make it dead simple: “Would you be open to a 15‑minute call to see how two schools in your conference solved Y?” works far better than a generic “Let’s connect.”

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