What Enrollment Teams Get Wrong About Higher Ed Email Marketing

By Angela Brown

“Gen Z doesn’t use email.” 

“AI is ruining student outreach.” 

These are some of the narratives circulating in enrollment circles right now, passed around on LinkedIn, repeated in strategy meetings, and used to justify pulling back from two of the most powerful tools available to enrollment marketers.

They're also wrong.

According to EAB's 2025 Student Communication Preferences Survey, 74% of students say email is their preferred channel for detailed institutional communication. Gen Z hasn't abandoned the inbox, but they have raised the bar for what grabs their attention inside it.

The story with AI is similar. Students don't reject AI-generated content on principle. They reject content that's generic, emotionally flat, and clearly written for no one in particular. But that’s not an AI problem, it’s a relevance problem, and it existed way before AI had anything to do with enrollment marketing.

So if email still works and AI isn't the villain, what's actually going on?

The answer is simpler and more fixable than you might think: enrollment email has been optimizing for the wrong things. Metrics that feel like progress are masking underperformance, “personalization” is invisible to students, and the AI being deployed is helping institutions spam students faster instead of solving the root problem.

This post is about really needs fixing when it comes to email and what enrollment teams who are getting it right are doing differently.

Why Are Higher Ed Open Rates Misleading You?

Industry benchmarks show average open rates in the 35%+ range, and those numbers might feel reassuring, but they shouldn't.

Introduced in 2021, Apple's Mail Privacy Protection pre-fetches email content and triggers open pixels automatically, whether or not a real student ever looked at your message. A meaningful share of your 'opens' could be bots, not students. If you're celebrating a 38% open rate without accounting for MPP inflation, you may be significantly overestimating engagement.

A better metric is click-to-open rate (CTOR). Higher education campaigns do show a CTOR above 9%, which outpaces the 6.8% cross-industry median. That means schools can generate interest, but the breakdown happens in converting that interest into action.

A strategic pivot here would be to stop reporting opens to leadership as your primary email KPI. Include it, but clicks, replies, form completions, and downstream enrollment funnel movement are the real stars of the show. Those are the numbers that connect email performance to yield.

Is AI Making Higher Ed Email Marketing Better or Just Faster?

This is the honest question enrollment leaders need to sit with right now.

The pitch for AI in email is compelling: write subject line variations at scale, personalize content automatically, optimize send times algorithmically. Enrollment teams are adopting these tools quickly, often under resource pressure and tight timelines.

But the patterns that show up when AI is applied without the right framework are predictable and pricey.

Chasing opens instead of outcomes

AI-assisted teams are still primarily optimizing subject lines for open rates. Given what we know about MPP inflation, this means teams are training AI on an imperfect signal. The model gets better and better at driving a metric that doesn't reflect student behavior.

Automation without human guardrails

Email marketing data consistently flags over-dependence on automation as the biggest mistake with AI email. Without human review, AI can misread behavioral signals and send content that's contextually off, like a financial aid email to a student who just deposited, or a campus tour invite to someone in their senior year. Students notice these mismatches quickly, and once they do, they tune everything else out.

'AI-scented' copy

We’ve all seen the posts about “AI content tells” on social media. Fully automated content tends to be emotionally flat and easy to spot as machine-generated. When subject lines, body copy, and CTAs all come from the same generative pass, the result falls flat. In a prospective student's inbox (which likely contains messages from 8–12 schools at the same time) sounding generic is the same as being invisible.

Channel misalignment at scale

Gen Z students have specific expectations by channel. Email is where they expect detailed, official information. They treat it like a searchable archive, not a live feed. They skim subject lines and preview text, open only what passes an immediate relevance filter, and expect messages to be scannable. SMS is where they want brief, time-sensitive nudges. But more than 2–3 institutional texts per week drives opt-outs.

AI makes it easy to hit multiple channels simultaneously, and without channel-by-use-case rules built into your system, that capability accelerates misalignment. The result: the wrong message, in the wrong channel, at the wrong moment, at scale.

Shallow or outdated data feeding the model

Personalization is only as strong as the data underneath it. Using outdated CRM fields or incomplete behavioral data creates messages that feel off; they’re personalized in format, but irrelevant in substance. Poor list hygiene compounds the problem: bounces go up, spam signals pile up, and your sender reputation takes a hit that affects every future campaign.

Where Is the Real Gap in Higher Education Email Personalization?

The personalization gap in higher ed email isn't a technology problem. It's a definition problem.

Most enrollment teams define personalization as inserting a first name and a major into a template. That's not personalization, that's mail merge with extra steps. And students know the difference.

Research on student communication preferences shows that subject lines personalized with actual context—not just a name token, but a specific, relevant detail—increase open rates by 25–40% compared to generic alternatives. The takeaway is clear: relevance is the lever, not volume.

Real personalization in university email marketing means the content itself reflects where a student is in their journey. A first-generation student from a rural county and a legacy applicant from the suburbs who both applied to the Engineering program on the same day have different questions, different hesitations, and different reasons to say yes. Sending them the same email is a missed opportunity that compounds across every touchpoint in the funnel.

What individualization really looks like:

Student A gets an email about biology lab facilities and a reminder to submit their transcript.

Student B gets an email about the marching band scholarship and a link to the virtual campus tour.

Same campaign, same institutional goal, completely different narrative. This is where AI goes from a writing assistant to a strategist.

It's also important to understand that personalization at this level matters even when you aren’t under-enrolled. The student experience starts before orientation. How a prospective student feels during the recruitment process shapes their sense of belonging, their likelihood of moving forward, and eventually, their retention outcomes. Enrollment teams that treat email only as a conversion tool are leaving relationship capital on the table.

What Are Enrollment Teams Getting Wrong About Email Deliverability?

Deliverability has moved from an IT concern to a strategic enrollment risk—and most teams haven't caught up.

In 2024, Google and Yahoo introduced strict requirements for bulk email senders: mandatory SPF, DKIM, and DMARC authentication, and a hard spam complaint threshold of 0.3%. If three out of every 1,000 students mark your email as spam, your future sends go to junk—or get blocked entirely.

Generic batch-and-blast campaigns are now a technical liability. When you send irrelevant content to a large list, engagement drops, complaints rise, and inbox providers start treating your domain with suspicion. The damage doesn't stay contained to one campaign.

There's a counterintuitive advantage to individualization here: when you send 50,000 unique, relevant messages instead of 50,000 identical ones, spam filters see diverse, human-pattern communication. Individualization protects your sender reputation as a technical side effect.

One-click unsubscribe headers are also now required. Giving disengaged students an easy exit is preferable to having them mark you as spam—because the complaint hits your deliverability in a way an unsubscribe never will.

What Does a Better Email Strategy Look Like for Enrollment Teams?

The teams doing this well have changed their operating model, not just their tools. Here's what separates them.

They simulate before they send

Rather than testing in production—where a weaker variant is guaranteed to reach 50% of your test group—high-performing enrollment teams use predictive models to forecast how a specific message will perform with a specific audience before it ever touches an inbox. This is the shift from reactive to proactive: optimizing the campaign in a safe environment, not learning from the damage after the fact. (We broke down this approach in detail in The 2026 Higher Ed Email Optimization Guide.)

They consolidate intent signals across channels

They don't treat email, SMS, and web behavior as separate data streams. If a student visits the financial aid page, the next email automatically addresses affordability. If a student starts a housing form and doesn't finish, the next message has a direct link. The channel is matched to the message type; the message is matched to the moment.

They measure what moves the funnel

Open rates are a diagnostic metric at best. The better move toward full-funnel enrollment marketing campaigns is to measure email performance by its contribution to yield: deposits, FAFSA completions, registered students. Report vanity metrics, but optimize enrollment outcomes. 

They treat deliverability as strategy

Daily monitoring for spam complaint rates, authentication hygiene, list cleanliness, and one-click unsubscribe implementation need to be part of the campaign plan from the start.

Where Enrollment Teams Are Misaligned: A Quick Reference

Is Your Email Stack Ready for What Enrollment Demands in 2026?

Ask these questions about your current setup:

• Do you know how an email will perform before you send it or are you crossing your fingers?
• Can you vary message content based on more than first name and major, without adding to your team?
• How long does it take to go from campaign concept to inbox? If the answer is weeks, that's too long.
• Can you draw a direct line between a specific email send and a student's decision to deposit?
• Are you monitoring spam complaint rates daily?

If the answers are 'no' or 'I don't know,' volume won't help you.

The Urgency Isn't Optional

We know the demographic cliff is real and competition for a shrinking pool of college-going students is intensifying, even with more students enrolling again. And budgets aren't increasing at the same rate as the pressure to perform.

In this environment, well-executed emails can be one of the highest-leverage tools an enrollment team has. Students still prefer it for detailed institutional communication. They're still reachable, but they've raised the bar.

They expect to feel known and they give their consideration to institutions that earn it with every message, not just the first one.

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As Halda’s Director of Marketing, Angela Brown brings more than 15 years of experience leading marketing and content teams in education and B2B SaaS. When she isn’t at her computer, you can find her reading,watching a true crime documentary, or driving her son to basketball practice.