The $100k Enrollment Leak: Why Higher Ed Needs an Audit
Why agencies reporting on their own ad spend hide waste, and how an independent forensic audit finds ghost scripts and self-referral traffic.
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21 posts on Agency Perspective.
Why agencies reporting on their own ad spend hide waste, and how an independent forensic audit finds ghost scripts and self-referral traffic.
Why enrollment marketing agencies that report on their own spend create a conflict of interest, and what higher ed leaders should ask for instead.
How to spot an agency that keeps you dependent, four questions to ask it, and a case study of a state agency taking ownership of its data.
How a state agency moved from vendor dependence to owning its analytics, using a collaborative audit, ghost script cleanup and GTM governance training.
Why most marketing reports change no decisions, how to connect GA4, CRM and ad data, and a three-test checklist for judging your dashboard.
Why agencies that buy your media should not also grade it, and how independent GA4 oversight catches attribution conflicts, cross-domain errors and PII.
Why fixing tracking basics, from GTM to duplicate counts and server-side tagging, comes before any dashboard, plus a checklist for judging agencies.
Why a $50k executive dashboard was the wrong purchase, and how broken tracking, bad UTMs and privacy leaks must be fixed before reporting.
How to tell a factory agency from a real consultant: generic templates, junior handoffs, and tracking everything without using the data.
How Consent Mode v2 modeling fills GA4 reports with estimated data, the difference between Basic and Advanced modes, and the ethics of modeled results.
How AI summaries are replacing clicks for government and higher ed sites, and why schema, clean data and tracking of AI referrals matter now.
Why no attribution model shows the full buyer journey, how last-click bias distorts budgets, and how a simple channel pause test shows real impact.
How a forensic audit of raw server logs finds legacy tracking scripts that fragment data and slow your site, and how to vet your marketing partner.
How server-side GTM recovers data lost to Safari ITP and ad blockers, keeps cookies first-party, and strips PII before data reaches vendors.
AI personalization is only as trustworthy as the data behind it. A three-step privacy audit: server-side tagging, stale user IDs and first-party data.
How to get cited by AI answer engines: structured data, authority signals, citable content and crawlable pages, with a 10-point readiness checklist.
Why collecting less data protects your brand and improves AI results, and how to prune tracking to the signals that change decisions.
Why expensive analytics tools sit unused, how agency dependency adds risk, and how to build data literacy inside your own team.
How to manage Google Ads with PMax and AI Max: feed the system strong assets, set guardrails, tie it to GA4 and stop micromanaging keywords.
Why the agency factory model keeps you dependent, and how surgical consulting and a sound technical backbone move a team from reactive to predictive.
When simple A/B testing is enough, and when a complex B2B, government or higher ed funnel needs a CRO specialist to fix data and handoffs across systems.
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