It’s a scene we constantly see play out in cross-functional meetings across higher ed: The marketing team walks in, proud to report that Google Ads drove 120 conversions this month. The enrollment team looks at their Slate or other CRM dashboard and counters with a much smaller number … only 43 inquiries tied to that same campaign. Everyone involved is left with a single, frustrating question: “Which number are we supposed to trust?”
This disconnect isn’t only limited to higher ed – mismatched data between ad platforms and other reporting tools happens across industries. And these kinds of disparities across platforms erode trust in data and lead to misaligned decisions. In some cases, different teams, such as marketing and enrollment teams in higher ed, may even stop working toward a shared goal and start optimizing toward their own insular definitions of success.
In VisionPoint’s recent webinar, we shared the good news: These numbers don’t necessarily have to match perfectly for them to be useful. Bridging the gap starts with a shared understanding that ad platforms, CRMs, and other data management or reporting tools are fundamentally different tools designed for different purposes.
Our expert marketers at VisionPoint have also put together a visual attribution dashboard to help you figure out exactly why your data isn’t matching up.
Why Your Ad and Data Platforms Disagree
Here are the most common reasons we see ad platforms disagreeing with our clients’ CRMs and ad platforms or marketing dashboards.
You’re comparing different metrics.
The most common mistake teams make is treating ad platform conversions and CRM inquiries as the same thing. In reality, it’s an apples-to-oranges comparison. Platforms are designed for different reasons, and as such, they measure different data to gauge success.
While ad platforms offer broad but shallow visibility into millions of anonymous impressions, CRMs offer narrow but deep visibility into the actual student journey.
Ad platforms like Google, Meta, or LinkedIn are optimization engines. They aren’t built to be your system of record; they are built to identify patterns across audiences and engagement behaviors to help campaigns perform better.
When an ad platform reports a conversion, it is often seeing a signal rather than a business outcome. That signal might be a form submission, but it could also be a button click, an application start, or even a view-through action (where a student saw an ad, didn’t click, but returned later to take action). These signals are vital because they tell the platform who to target and how to spend your budget efficiently.
In contrast, your CRM captures operational truth. It is designed to track known individuals as they move through the funnel from inquiry to applicant to enrolled student. CRMs typically only begin tracking when a new person’s name and their contact info are added to your system, rather than counting a variety of pre-conversion actions the way an ad platform might.
You’ve lost attribution.
When your ad platform and CRM are measuring different data, then they need to be told how these different data sets should connect to each other. This “connective tissue” is your attribution data, specifically your UTM parameters. However, even when a student clicks an ad with perfectly structured UTMs, that data can often get lost before it ever reaches a CRM record. This lost attribution can turn your reporting gap into a reporting canyon.
Some of the most common causes we see for lost attribution are:
- Improper UTM structures and/or setup.
- Users landing on a landing page but navigating to a secondary page before filling out a form, causing the UTMs to drop off.
- A domain change breaking the tracking cookie (for example, moving from a university’s main site to an application portal).
- The RFI form not being configured with the hidden fields necessary to capture and pass the form’s data into the CRM.
You’re only seeing last-touch attribution.
CRM attribution is often “last touch” by default. This means that if a student’s journey began with an Instagram ad, followed by a Google search, and ended with a retargeting click, the CRM might only credit that final interaction. The ad platforms, however, may use multi-touch models that give partial credit to every step of that journey. This discrepancy is why the numbers in your CRM will almost always look lower than what the ad platforms claim.
The chart below (from our visual attribution dashboard) illustrates what interactions an ad platform might track versus your CRM.
How to Bridge the Gap Between Your Ad Platforms and CRM
So, what can you do to solve these disparities between ad campaigns and your CRM (or whatever your source of operational truth is)?
Start with intentional signal design.
For starters, we can improve platform alignment by being more intentional about our signal design. Instead of trying to force every number to match, teams should document exactly which actions are intended for campaign optimization versus operational reporting.
Start by defining your signals clearly. A button click on a “Learn More” link is a great optimization signal for an ad platform to find interested audiences, but it shouldn’t be expected to show up in a CRM. Instead, it should be treated as an indicator of whether or not your ads and landing pages are performing well. On the other hand, an RFI form submission is a high-intent signal that absolutely should overlap with your CRM data.
When you align your teams around which metrics are expected to match closely and which are merely directional, the “which number is right” argument begins to disappear.
Standardize UTM governance.
Use a consistent, documented naming convention – we recommend sticking to lowercase and underscores – so that data rolls up cleanly into your dashboards. Whether you are using Slate or another system, evaluate your page and form setup to ensure your hidden fields are preserving the UTM context. This allows the CRM to validate the broad influence that the ad platforms are reporting.
Make time for QA and testing.
Doing quality assurance tests on forms and landing pages every time helps teams catch any missing attributions.
- Using the UTM parameters, verify that the hidden field data capture is working correctly and mapping accurately to the CRM.
- Create end-to-end attribution validation, verifying the tracking across all platforms to ensure a smooth journey with all platforms on the same page.
- Consider setting up a document for stakeholders listing out your new attribution step-by-step.
Use VisionPoint’s free visual tool.
If you’re trying to figure out your exact problem or the best solution for your situation, we’ve built a visual tool to help you to better understand attribution, UTMs, and more.
A Shared Path Forward
When marketing and enrollment teams stop fighting over the right number and start understanding how their systems complement each other, the dynamic changes.
In a healthy reporting environment, the marketing team can acknowledge that Meta is showing higher conversions due to view-through activity, while the enrollment team can confirm that the actual submitted inquiries reaching the CRM are high-quality and correctly attributed.
Ultimately, ad platforms help us understand campaign influence, while the CRMs help us understand enrollment and other business outcomes. By building a measurement approach that respects both, leadership can stop questioning the data and start focusing on the strategy that moves the needle for the institution.
If you’re struggling to reconcile your CRM and ad platform data, or simply want an expert second opinion on your current tracking setup, reach out to us today. At VisionPoint, we specialize in bridging these technical gaps to bring your marketing and enrollment teams into perfect alignment. Click here to get the conversation started.
