Higher Education

Enrollment Marketing That Moves as Fast as Your Admissions Cycle

Here’s the situation most enrollment teams are in: campaigns for dozens of programs across Google, Meta, and TikTok, a cabinet that wants answers yesterday, and a marketing team a fraction of the size the workload calls for. Mad Fish Elements, built by Mad Fish Digital, connects the AI assistants your team already uses - Claude, ChatGPT, Microsoft Copilot, Gemini - to 33 marketing, analytics, and ops platforms through one governed gateway. Campaign work that took days takes minutes, and every action is logged, permissioned, and easy to defend to IT.

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What Mad Fish Elements Changes

One conversation manages every program’s campaigns

Your team asks their AI assistant to audit pacing across every program campaign in Google Ads (including Performance Max), Meta, LinkedIn, TikTok, and Snapchat - one request, all platforms at once with batch operations. Budget checks that took a morning of tab-switching happen in a single conversation, and changes pass through server-side permission checks before anything touches a live campaign. Installable workflow Skills turn your recurring routines - deadline-week pacing checks, post-deposit budget wind-downs - into one-line commands anyone on the team can run.

GA4 and Search Console analysis on demand

Ask which program pages get impressions but no clicks. Ask which pages drive the most inquiry conversions per session, or where your nursing program ranks against the queries that matter. You’ll get an answer from live GA4 and Google Search Console data in minutes, drafted straight into a Google Doc for your content team. The content calendar starts running on evidence instead of whoever asked loudest.

Funnel math across ads and CRM, finally

Connect HubSpot or Salesforce alongside your ad platforms and BigQuery, and your assistant can join spend to inquiries, applications, and deposits by program and channel. Cost per enrolled student stops being an annual research project. It becomes a question you answer in a meeting, while the meeting is still happening.

Read-only seats for everyone who just needs answers

Give deans, chairs, and enrollment leadership their own seats with read-only permissions enforced server-side on every call. They ask their own assistant “how did MBA campaigns perform last month?” and get a real answer from real data - with zero ability to write or delete anything, on any platform, no matter what they ask. Your team gets its inbox back. IT gets per-user OAuth identity and per-seat scopes instead of shared logins.

Cabinet reporting that rebuilds itself

Publish a governed enrollment dashboard once with Data Visualization. Scheduled refreshes update the same report at the same link, so the cabinet always looks at live funnel and spend data. Leadership reviews and annotates right in the report instead of emailing you screenshots with questions.

The Problems Higher Education Marketing Teams Live With

Program-level campaigns multiply faster than headcount

Every college wants its own campaigns. The MBA needs LinkedIn and Google Ads. Undergraduate admissions wants Meta, TikTok, and Snapchat to reach 17-year-olds and their parents. Online programs run always-on spend year-round while residential programs spike around deadlines. Multiply that by priority deadlines, decision days, and melt season - the summer stretch when admitted students quietly disappear - and a three-person paid media team is managing hundreds of ad groups they can barely audit, let alone improve. Something’s always mis-paced. You usually find out when a dean asks why their program’s inquiries dried up in October.

The .edu content machine flies blind

Your site has thousands of program pages, faculty profiles, and blog posts, written over a decade by people who don’t work there anymore. The answers live in GA4 (Google’s web analytics platform) and Google Search Console: which program pages drive inquiries, which rank on page two for terms you should own, which get organic traffic that never converts. But pulling that analysis means exporting spreadsheets, stitching data across two interfaces, and losing a week. So the content calendar runs on instinct and whichever department chair emailed most recently.

The CRM funnel and the ad platforms don’t talk

Inquiries land in Salesforce or HubSpot. Spend lives in Google Ads, Meta, LinkedIn, and TikTok. So when the provost asks what an enrolled student costs by program, someone spends three days exporting from five systems into a spreadsheet that’s stale before the meeting starts. Here’s the catch: the ad platforms optimize toward form fills, while your CRM knows which form fills became applicants, admits, and deposits. That knowledge almost never makes it back into campaign decisions in time to matter.

Everyone wants the numbers; nobody should touch the campaigns

Deans, department chairs, and the graduate school all want to see performance for their programs. None of them should be anywhere near a live campaign or a Google Ads login. Today the choice is bad either way: share platform access too widely and risk an accidental edit (and an awkward conversation with IT security), or turn your team into a report-generation service that answers the same “how are my numbers” email fifty times a semester.

Cabinet reporting eats a week per cycle

Enrollment reporting for the president’s cabinet is a production. Pull paid media numbers. Pull organic numbers. Pull funnel counts from the CRM. Reconcile the definitions, rebuild the slides, and hope nobody asks for a cut by residency status you didn’t prepare. By the time it ships, the data’s two weeks old - and next month you start over from a blank deck.

Use Cases

Deadline-week pacing sweep

“Check pacing on every active enrollment campaign against remaining budget through the January 15 deadline, and flag anything projected to underspend by more than 10%.” Platforms: Google Ads, Meta, LinkedIn, TikTok, Snapchat. A sweep that used to take a full morning across five ad managers finishes in one conversation. Your team reviews the flagged campaigns and approves the adjustments - each write permission-checked and logged.

Platforms

Program page SEO audit

“Find program pages with high Search Console impressions but a click-through rate under 1%, cross-reference GA4 inquiry conversions, and draft a prioritized rewrite list in a Google Doc.” Platforms: Google Search Console, GA4, Google Docs. Your content team gets a ranked, evidence-backed worklist instead of a hunch, delivered to the drive folder they already work from.

Platforms

Cost-per-enrollment by program

“Join last cycle’s spend by campaign to HubSpot pipeline stages and show cost per inquiry, per application, and per deposit for each graduate program.” Platforms: Google Ads, Meta, LinkedIn, HubSpot, BigQuery. This is the number every cabinet meeting circles around, computed from live data. Reallocate budget toward the programs that convert, with math you can show your CFO.

Platforms

Creative swap at the deposit deadline

“Pause all ‘Apply by January 15’ creative across Meta and TikTok tonight, and activate the ‘Deposit by May 1’ ad sets.” Platforms: Meta, TikTok, Snapchat. No more expired-deadline ads embarrassing the institution in February. The batch change executes across platforms at once, and every action lands in the audit trail with the user who approved it.

Platforms

Dean’s self-serve performance check

“How did the College of Engineering’s campaigns perform this month versus last - spend, inquiries, cost per inquiry?” Platforms: Google Ads, Meta, GA4. Asked by the dean, from the dean’s own read-only seat. They get an answer in thirty seconds, your team never sees the request, and nothing in any platform can be modified from that seat.

Platforms

Cabinet deck, assembled

“Update the enrollment marketing summary slides with this month’s funnel numbers and channel performance.” Platforms: Google Slides, GA4, Google Ads, HubSpot. The monthly deck goes from a week of assembly to a review-and-present exercise. The numbers come straight from the platforms, so there’s one version of the truth in the room.

Platforms

Five Prompts To Steal

Not sure where to start? Copy any of these into the assistant your team already uses - they work word for word.

“Compare weekly application volume in HubSpot against the same weeks last cycle, and flag any graduate program pacing more than 15% behind where it was this time last year.”

A pacing read that answers “are we ahead or behind” before the dean asks - with the lagging programs named.

“Break down the last 90 days of inquiries by channel for each undergraduate program - Google Ads, Meta, TikTok, Snapchat - and show me which programs depend on a single channel.”

A channel-mix map per program, so you can spot the pipeline that rests entirely on one platform’s mood.

“Draft a follow-up email in Mailchimp for everyone who attended Saturday’s open house but hasn’t started an application, and hold it for my review before anything sends.”

A ready-to-review draft sitting in your Mailchimp account - the open-house follow-up goes out Monday instead of never.

“Publish a dashboard with Data Visualization showing inquiries, applications, admits, and deposits by program and channel, refreshed weekly at a link I can hand the dean of admissions.”

A live, dean-ready enrollment dashboard at a stable link - no more rebuilding slides every time someone asks.

“List admitted students in Salesforce who deposited but haven’t registered for orientation, grouped by program, so we can see where summer melt risk is concentrating.”

A melt-season watchlist straight from your CRM, in time to reach students while they’re still reachable.

Data Visualization for Higher Education

Enrollment Funnel Dashboard

inquiries, applications, admits, and deposits by program and channel, with spend and cost-per-stage trends across the cycle. Audience: president’s cabinet and enrollment management leadership. Scheduled refreshes keep the same shared link current all cycle.

Program Marketing Scorecard

per-program view of paid spend, organic search visibility from Search Console, page engagement from GA4, and inquiry volume. Audience: deans and department chairs, delivered as a governed shareable report they can annotate instead of emailing questions.

Paid Media Pacing Board

daily spend versus budget across Google Ads, Meta, LinkedIn, TikTok, and Snapchat, organized by program and deadline. Audience: your paid media team, reviewed each morning during peak season.

The chart types that tell your story

Enrollment data has a shape, and the right chart makes that shape obvious to a cabinet in seconds. Here’s what works for higher ed:

Funnel chart

inquiry to application to admit to enroll, in one picture. When a program’s applications look healthy but deposits lag, the funnel shows exactly where students fall out.

Line chart with year-over-year overlay

application pacing only means something against last cycle. Lay this year’s curve over last year’s and you know at a glance whether you’re ahead, behind, or right on schedule for January 15.

Geo map

where your applicants actually come from, by state or metro. It settles recruiting-territory debates with evidence and shows which markets your paid spend is quietly winning.

Radar chart

compare programs across several measures at once: inquiries, cost per inquiry, conversion rate, yield. Handy when a dean asks how their college stacks up against the rest.

Stacked bar chart

channel mix by program. The MBA’s leads come from LinkedIn while undergrad’s come from TikTok, and a stacked bar makes it plain why one budget shouldn’t be copied to the other.

Calendar heatmap

campus-visit and event activity by date. Dark clusters around open houses and decision days show which events actually move the funnel, and when to schedule the next one.

Governed Access Your IT Security Office Will Sign Off On

Every seat gets per-user OAuth sign-in: your team clicks Connect and authenticates with their own credentials. No API keys pasted into chat windows, no shared logins. Read, write, and delete permissions are set per seat, per platform, and enforced server-side on every single call - a read-only dean’s seat can’t modify a campaign no matter what the AI is asked to do. Every operation is captured in a full audit trail tied to the individual user’s identity, and automated error monitoring flags failures before they become fire drills. Mad Fish Elements is built around documented security controls, which gives your security review a familiar starting point instead of a months-long custom assessment.

Per-user OAuthRead / write / delete per seatFull audit trailDocumented security controls

Ad ops pricing

Ad Ops Pricing

A higher base buys a lower rate. Pay more up front and keep more of your spend. Every Ad Ops tier includes governed platform access, per-user grants, and administrator controls.

Ad Ops Reporting

Diagnose

$499/mo

No managed-spend fee

See what's wrong across every account.

Unlimited platforms & connections
Read-only access
Basic support

Included playbooks

Cross-Platform Account Health Check

Request Early Access

Ad Ops StandardMost popular

Diagnose + Fix

$799/mo

+ 1.25% of managed spend per month

Find issues and fix them — full read/write automation.

Unlimited platforms & connections
Read + Write + Delete
Full audit trail
Email support (48hr SLA)

Included playbooks

Everything in Reporting, plus:

Google Ads Account Audit
Meta Ads Health Check
Microsoft Advertising Health Check
Budget Pacing Review
Negative Keyword Mining
Tracking Hygiene Check
Google Tag Manager Audit

Request Early Access

Ad Ops Premium

Optimize

$1,499/mo

+ 1% of managed spend per month

Proactive optimization across every brand you own.

Unlimited platforms & connections
Everything in Standard
Multiple workspaces
BYO OAuth included
Priority Slack support
365-day audit retention

Included playbooks

Everything in Standard, plus:

Creative-Testing Methodology
Budget Reallocation & Spend Forecasting
Competitive Intelligence Scan
Automated Anomaly Watch — scheduled monitoring with alerting
Search Intent & Query Mapping

Request Early Access

Ad Ops Enterprise

Orchestrate

Starting at ,500/mo

Negotiated (typically 0.30–0.50%)

Your playbooks, your rules, at scale.

Unlimited platforms & connections
Everything in Premium
Custom playbooks built for your workflows
Volume + commitment pricing
SSO / SAML
Direct line to the founding team · Custom SLA

Included playbooks

Everything in Premium, plus:

All playbooks + custom playbooks

Talk to Sales

Interactive estimate

Monthly managed ad spend calculator

Plan notes:Reporting stays base-onlyStandard and Premium prices update as you adjust spend

How managed spend is measured: total spend on connected ad accounts during the billing month, measured from the platforms' own metrics APIs at billing time, regardless of where changes originated. Exact accounts and queries are visible in the audit trail. Disconnected accounts are excluded.

Data Visualization is tenant-wide: Viz Starter /mo for up to 50 saved reports, Viz Team 9/mo for up to 100 reports (included with Ad Ops Premium), or Viz Scale 9/mo for unlimited reports.

Talk to us about your Ad Ops plan

Frequently Asked Questions

Can department chairs and deans get access without any risk to live campaigns?

Yes - that’s exactly what Starter seats are for. Permissions are read-only and enforced server-side on every call, so a read-only seat physically can’t write to or delete from any connected platform. They ask questions in plain language, and the gateway makes sure an answer is the only thing that comes back.

Which AI assistants does this work with?

Claude, ChatGPT, Microsoft Copilot, and Gemini. Your team keeps whichever assistant your institution has standardized on and connects it to the gateway with native OAuth - click Connect and sign in, no API keys.

How will our IT security office evaluate this?

The short answer: like a vendor they already know how to review. Mad Fish Elements is built around documented security controls, access is per-user OAuth with per-seat, per-platform read/write/delete scopes, and every operation lands in a full audit trail tied to an individual identity.

We run campaigns for multiple campuses and colleges. Does that work?

Yes. Batch operations let one request span every program’s campaigns across Google Ads, Meta, LinkedIn, TikTok, and Snapchat at once, and the Agency tier adds multi-client management for teams organizing work across many campuses or units. Larger systems can talk to us about Enterprise.

What happens if someone asks the AI to delete a campaign they shouldn’t touch?

The gateway blocks it. Delete permission is granted per seat, per platform, and checked server-side on every call - the request fails at the gateway, and the attempt shows up in the audit trail. Guardrails live in the infrastructure, not in a prompt.

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Enrollment cycles don’t wait for reporting to catch up. Give your team AI that actually operates the platforms they live in, give leadership self-serve answers that can’t break anything, and give IT the audit trail and documented security posture they’ll ask about on day one. See it working against your own campaigns and CRM in a live session. Join the waitlist to get started.