Tracking channels is important, as is recording the amounts invested and calculating the ROI for each campaign. This is just the first step in an efficient attribution process, and it’s not simple: measuring consistently usually takes months of work within the operation.
The next step is the one that determines the budget, and that’s where Marketing Attribution comes in. It reveals how much each channel contributed to the sign-up, not which channel the lead came from.
What is Marketing Attribution in student recruitment?
Marketing Attribution is the process of distributing credit for an enrollment among the touchpoints the prospective student encountered before making a decision. Instead of singling out a single channel as responsible, the method measures the contribution of each interaction, from the first visit to the website to the final conversation with the sales team.
The difference shows up in the budget. When one channel takes all the credit, it also takes the investment for the next cycle—even if the enrollment originated at another point in the journey.
Marketplace platforms have already adopted this model. Google Analytics now uses data-driven attribution, and HubSpot offers nine multi-touch models in its attribution reports, all of which distribute credit throughout the customer journey.
Caption: Each channel receives the share of credit it measured, not the entire sign-up.
Why doesn’t attributing a sign-up to a single channel work?
Attributing the enrollment to a single channel doesn’t work because the applicant’s journey is simultaneous, not sequential. The single-channel model forces you to choose one channel to take credit where there were several, and that choice becomes the basis for the next cycle’s budget—with the wrong weighting.
After completing the first stage—which can take months or even more than a year—it’s time to assign weight to each channel and determine where the budget for the next intake will be allocated.
For years, we used the “click-before-lead” attribution model. Leadmatch, our measurement system, was designed as follows: if a lead came from a phone call, we attributed it to the media source of the call, a click on a digital campaign, the sales team, or an event at the higher education institution.
We would then calculate the ROI by channel and plan the media for the next intake based on those figures.
How can we move from chaos to customized attribution?
Moving from chaos to custom attribution means changing the question the operation asks. Instead of asking which channel the lead came from, it begins to measure how much each interaction contributed to the sign-up, with automation and CRM data continuously feeding this calculation.
The growing use of marketing automation tools in the education market has helped us better measure and understand the applicant’s buying journey, step by step, rather than focusing solely on the conversion point.
This increased visibility has revolutionized the way we view and allocate investment across channels. Today, we track when the first visit to the institution’s website occurs and when the sales team visits a school, integrating automation and CRM in student recruitment.
With this data in hand, we no longer assign ownership to specific channels. We no longer say things like “the lead came from digital via organic search,” “this lead came from the sales team,” or “it came from traditional channels.”
In fact, a prospective student may pass through all channels during the purchase journey: they visit the institution’s website, attend an in-person event, interact with the sales team, click on a web campaign, and download an ebook.
The path is chaotic, not linear. And so, we cannot attribute the lead to a single channel.
Understanding marketing attribution has transformed our approach. Today, we use BI tools to assign weight to each action, based on a predictive model that combines real-time enrollment data, and we allocate the budget across channels accordingly.
This attribution is customized, and each higher education institution has its own. There’s no one-size-fits-all formula: the weights are measured and change constantly, based on the applicant’s purchasing behavior.
What attribution models exist today?
The attribution models available today fall into two categories: those that credit a single touchpoint and those that distribute credit throughout the journey. The difference matters because each model answers a distinct question about enrollment.
The two most widely used platforms for lead generation have followed similar paths. In Google Analytics, four models were discontinued in November 2023, leaving three options. In HubSpot, attribution reports use nine multi-touch models.
| Platform | Available Models | What Was Discontinued |
|---|---|---|
| Google Analytics | 3 | First-click, linear, time-decay, and position-based, in November 2023 |
| HubSpot | 9 | No model selected |
Table: What each platform currently offers in terms of marketing attribution.
The practical takeaway is that neither platform any longer adheres to the single-channel model as the standard. Choosing the model has become part of the operational design, rather than a one-time configuration.
It’s worth noting the limitation of this choice: a good model with poor data will still yield inaccurate results. Data quality at each touchpoint comes before the model itself.
The complete design of this workflow—with assignment, automation, and BI operating together within the institution—is detailed in “Assignment, Automation, and BI for Educational Institutions,” which serves as a follow-up to this article.
Frequently Asked Questions About Marketing Attribution
Where should you start with attribution at your institution of higher education?
Start with data collection, not with a model. The operation needs to track interactions linked to the same applicant: website visits, event attendance, sales contacts, campaign clicks, and material downloads.
Once the tracking system is in place, the next step is to align the teams. Attribution without alignment between marketing and sales turns into a battle for credit rather than a budget decision.
Only then does the choice of model come into play. This is a strategic educational marketing decision, because it changes depending on the recruitment cycle, the channel mix, and the sales team’s influence at each institution.
If your higher education institution still allocates its budget by declared channel and you want to understand the actual weight of each touchpoint, talk to the mkt4edu team.
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