# How to stop Google Ads sending students instead of lab buyers

Google Ads sends students when the words for your equipment are also the words of a lecture, such as «bioreactor», «tangential flow filtration» or «chromatography». You filter them with a negative keyword list for academic and definition searches, tighter match types, the odd audience exclusion and a form that asks about the project. The aim is to cut noise without losing volume.

[Web version](https://www.crida.studio/en/insights/guides/google-ads-students-lab-buyers/)

By David Monje, crida studio · Published 2026-03-11 · Updated 2026-03-11

## Why Google Ads sends you students

Lab and bioprocess equipment shares its names with course topics. A biotech student and a process engineer can both type «bioreactor» on the same day. With broad match, Google can show your ad on related searches even when they lack the exact meaning of your keyword, and that is where definitions, lecture notes and final-year projects come in.

To see it, open the search terms report. It shows the actual searches that triggered your ads and which keyword matched them. Google lists searches used by a significant number of people, so some very low-volume terms will not appear. After a few weeks of data, the academic patterns are usually easy to spot.

## A negative keyword list for academic searches

The foundation is an account-level negative keyword list, which applies to all your search campaigns. It should cover the words that signal studying in every language you advertise in. Negative keywords do not match close variants, so you need to add singulars, plurals and synonyms. Google also treats a word with and without an accent as two different negatives, such as «qué» and «que» in Spanish.

Watch out for words buyers use too. «PDF» blocks plenty of lecture notes, but also someone looking for an equipment datasheet. «Types of» can be a student or an engineer comparing options. In those cases, check the search terms report first and only add the combinations that bring no buyers. Google warns that too many negatives reduce your reach.

Examples of negative keywords for academic searches

| Search type | Negatives in Spanish and Catalan | Negatives in English |
| --- | --- | --- |
| Definition | qué es, què és, definición, definició, significado | what is, definition, meaning |
| How it works | principio, principi, funcionamiento, funcionament, esquema | principle, diagram, how does it work |
| Coursework | tfg, tfm, tesis, tesi, apuntes, apunts, examen | thesis, dissertation, lecture notes, homework, exam |
| Formats | ppt, diapositivas, diapositives, resumen, resum | ppt, slides, summary, quiz |
| Courses and jobs | curso, curs, máster, màster, prácticas, pràctiques | course, internship, jobs, salary |

![A group of young people at wooden desks in a lecture hall listen and take notes.](https://www.crida.studio/recursos/assets/estudiants-classe-universitat.60a5abb9f346.webp)

A class in a university lecture hall. When students look up definitions or lecture notes, they use the same terms as equipment buyers.
Vitaly Gariev / Unsplash — https://unsplash.com/photos/RDBb3JUdOnc


### If we exclude «what is», do we lose engineers doing research?

Some engineers run these searches too, but at that point they are unlikely to ask for a quote. A good explanatory page that ranks organically, with links to your application pages, is a better way to reach them. That leaves ads for searches with buying intent and lets content handle the learning stage.

## Tighter match types where the noise is

The most generic keywords, such as the name of a piece of equipment or a process, bring the most students. Exact match gives you the most control over who sees the ad, even though it reaches fewer searches. Phrase match lets the search include the meaning of your keyword alongside other words, and broad match reaches related searches.

A practical approach is to put generic keywords on exact match and those that already signal buying, such as a scale, an application or «supplier», on phrase match. If you use broad match, Google says to pair it with Smart Bidding. And for Smart Bidding to learn to avoid students, it needs qualified lead data, as we explain below.

## Audience exclusions, only as a complement

Google Ads has detailed demographic segments, and college students is one of the examples it gives. It also lets you exclude demographic categories so ads do not show to certain groups. That can help, but Google warns that it cannot estimate demographic information for everyone, and the narrower your filters, the fewer people your ads reach.

Do not exclude by age. A young engineer may be the one preparing the equipment comparison for their manager. Do not exclude universities either, because research groups and core facilities buy equipment too. What you want to remove are searches for lecture notes and definitions.


### Should we exclude universities from our campaigns?

Not as a rule. University research groups and core facilities buy lab equipment and sometimes pilot plants. What you need to filter are study searches, such as lecture notes, definitions or coursework, and add a form question about the type of organisation and the project so you know who is who.

## Form questions that filter without putting buyers off

A good form separates students from buyers without scaring anyone away. Asking about the project helps more than adding mandatory fields. If a student does come through, it is worth pointing them to a resources page or an application note. That keeps them out of the sales inbox, and they may come back once they work in industry.

With these answers, your CRM can classify the lead before anyone has to read it. Keep the questions few and multiple choice, because a long form can also put off a buyer in a hurry.

- Type of organisation, with options such as company, research centre, university and student.
- Project stage, from first idea to purchase with an approved budget.
- Scale or working volume needed.
- Approximate purchase timeline.


### How often should we review search terms?

Weekly at the start, because that is when many of the academic searches you did not anticipate show up. Once the negative list settles, a monthly review is enough. Remember that the report only lists searches made by a significant number of people, so some very low-volume terms will not appear.

## Measure lead quality, not just how many arrive

If Google Ads counts every form as a conversion, automated bidding cannot tell a student from a pilot plant. That is why it pays to send the CRM outcome back to Google Ads, such as a qualified lead or a quote sent, and optimise for that conversion. Review the search terms report weekly at first and monthly after that.

At crida studio we run the SEM strategy for PharmaBios Innova, a maker of custom bioreactors and fermenters. When we review an account in this sector, the negative keyword list and what the CRM marks as a qualified lead are among the first things we look at.

## References

- [Google Ads Help, about negative keywords](https://support.google.com/google-ads/answer/2453972)
- [Google Ads Help, about keyword matching options](https://support.google.com/google-ads/answer/7478529)
- [Google Ads Help, about the search terms report](https://support.google.com/google-ads/answer/2472708)
- [Google Ads Help, about audience segments](https://support.google.com/google-ads/answer/2497941)
- [Google Ads Help, about demographic targeting](https://support.google.com/google-ads/answer/2580383)

## The crida perspective

We are a marketing, brand and technology studio based in Girona. We bring identity, content and development together so a digital experience makes sense from beginning to end.

crida studio, Caldes de Malavella (Girona, Spain). David Monje, founder and director.

## Want to know how many students Google Ads sends you?

Tell us what equipment you advertise and in which countries. We will look at the account's search terms and tell you which negative keywords and form questions we would add.

[Tell us more](https://www.crida.studio/en/#contact)

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