Google Ads vs Meta ads for Indian education brands

This gets argued as though one channel is better. They do different jobs, and the useful question is not which is better but which one your institution needs this month.

Google catches demand that already exists. Someone typed "B.Sc nursing admission Mumbai" — they have a need, they are looking, you show up. Meta creates demand that did not exist thirty seconds ago. Nobody opens Instagram intending to pick a career.

Get that distinction right and most of the other decisions fall out of it.

When Google wins

Your course has a name people search. "B.Pharm", "D.Ed", "B.Sc nursing" — established courses with steady search volume. Intent is already formed; you are competing for a click, not for attention.

The decision window is open. Results are out, counselling has started, last dates are close. Search volume spikes and every one of those searchers is a genuine prospect.

You can be found by location. "Nursing college near Thane station" is a small query with enormous intent. Local search converts at rates that make the cost per click look cheap even when it is not.

Your brand is being bid on. If competitors or aggregators are running ads on your institution's name, you may need to defend it. Irritating, but losing students who were specifically looking for you is worse.

When Meta wins

The course is unfamiliar. Nobody searches for courses they have not heard of. Paramedical specialisations, newer allied-health programmes, vocational diplomas — these have real career outcomes and almost no search volume. The only way to fill them is to put them in front of people who did not know to ask.

You are talking to parents. Parents of 17-year-olds are heavily on Facebook and reachable in a way they are not through search, because they are not the ones typing the queries.

The off-season. Search volume collapses between cycles. Meta demand does not, because you are generating it. This is when you build the retargeting pool that you will convert cheaply during results week.

Your differentiator is visual or human. A counsellor answering a real question, a lab, a hospital tie-up, students who got placed. Search cannot carry any of that. A thirty-second vertical video can.

The small-budget answer: sequence, do not split

Under about a lakh a month, splitting across both channels usually means neither gets enough data to optimise. Meta's learning phase needs a reasonable number of optimisation events per ad set per week; Google needs enough clicks to find which keywords convert. Half a budget on each gets you two accounts that never leave the learning phase.

Sequence instead:

1. Start on Google, tightly scoped. Exact and phrase match, your specific courses, your city. Small budget, high intent, fast feedback. Within a few weeks you will know which courses have real search demand and what a click costs in your market.
2. Add Meta retargeting next — website visitors and video viewers only. Cheap, small audience, and it catches the people Google already sent who did not convert on the first visit.
3. Add Meta prospecting last, once you have an admitted-students list big enough to build a lookalike from. Going broad on Meta before you have that list is how budgets get burned learning things the list would have told you.

The exception: if your courses genuinely have no search volume, skip step one. You cannot catch demand that does not exist. Start at step three and accept that it will take longer to find your footing.

Keyword traps specific to education

Education search has expensive potholes that do not exist in other categories.

• "Free" and "government" modifiers. "Free nursing course", "government nursing college admission" — high volume, and the searcher is explicitly looking for something you are not. Negative these early or you will fund a lot of disappointed clicks.
• Result and exam queries. "Nursing entrance result date", "MHT-CET answer key". Enormous volume, zero admission intent — these people want information and will bounce instantly. Negative aggressively.
• Job queries. "Nursing jobs in Mumbai" is people who already have the qualification. Different audience, same words.
• Competitor and aggregator names. You can bid on them; it is expensive and the click quality is mixed. Usually better spent elsewhere unless you have a genuinely sharp comparison page to land them on.
• Broad match on course names. "Nursing" on broad match will match things you would not believe. In education, tight match types earn their keep.

The negative keyword list is not setup housekeeping in this category. It is an ongoing job, and reviewing search terms weekly during peak season will typically save more money than any bid adjustment.

Attribution when the decision takes three months

A student might see an Instagram video in March, search your name in May, click a Google ad in June, and pay a fee in July. Every platform will claim that admission. Add up the platform reports and you will have admitted the student twice.

What works, in order of effort:

• Ask. One required field on the application form — "how did you first hear about us" — with real options. Self-reported attribution is imperfect and it is still better than believing two dashboards that both claim full credit.
• One lead source field in the CRM, filled at creation, never overwritten. First touch. It will undercount Google, which usually appears last. Consistency matters more than being right.
• Feed admissions back to both platforms. Offline conversion imports on Google, Conversions API on Meta. Then each platform optimises toward students rather than toward form fills, which is the actual goal.

Do not chase perfect multi-touch attribution on an education budget. The modelling cost exceeds the decision value. You need enough signal to answer one question — is this channel producing admissions or activity — and a consistent first-touch field answers it well enough.

A monthly split that works

Once both channels are running and you are past the sequencing phase, a starting point that has held up across several education accounts:

• Peak season (results to end of counselling): roughly 60% Google, 40% Meta. Demand exists — go catch it. Meta's share is mostly retargeting.
• Shoulder season: roughly 40/60 the other way. Less to catch, more to create.
• Off-season: 20% Google (brand defence and the handful of evergreen queries), 80% Meta, mostly content and audience building.

Treat that as a starting hypothesis, not a rule. The moment you can see cost per admission by channel and by course, that number should decide the split — and it will often disagree with the table above, in ways specific to your courses and your city.

Which is the entire point. The channels are tools with different jobs. The thing worth being religious about is measuring which one is producing students.