Our Expert Services
in Hyderabad.

Education search behaviour is unusually specific. Prospective students and parents rarely search for a category — they search for a problem, a locality, a fee bracket or a credential. "IELTS coaching fees in Madhapur" converts; "online learning" does not. Our keyword work starts by separating terms that signal a purchase decision from terms that signal idle research, then funds them in that order.

The technical foundation comes first: a full crawl, fixing indexation and duplicate-content problems, correcting site architecture so that one page owns one intent, and implementing schema so Google understands what your organisation is. Then a keyword map assigns a single target term to a single URL — which stops your own pages competing with each other, the most common problem we inherit from previous agencies.

For any business with a physical campus or office, local SEO usually returns faster than content. Google Business Profile optimisation, consistent citations across Indian directories, and review generation typically move the Map Pack within weeks, while content compounds over months.

We take over or rebuild the account, starting with an audit of structure, Quality Score, bidding strategy and — most importantly — conversion tracking. In roughly four out of five accounts we inherit, the tracking is counting form fills rather than enrolments, which means Google has been optimising toward the wrong outcome the entire time.

Campaigns are built around how you would willingly spend money, with ad groups tight enough that a single honest headline is relevant to every keyword inside them. Negative keyword lists are built on day one — job seekers, free-material hunters and competitor careers traffic are filtered out before they cost you anything. The search terms report is reviewed weekly for the first two months, because that report, not the keyword planner, is where the real account lives.

We move to automated bidding only once there is enough conversion data to steer it, and we import offline outcomes — enrolment, attended call, payment — back into Google Ads from your CRM. That single change is usually worth more than any amount of bid tuning.

Google harvests demand that already exists; Meta creates demand that does not. For a new programme, a niche skill, or a school competing on atmosphere rather than fees, Meta is where the persuading happens — and it is where scale lives, because the addressable audience is orders of magnitude larger than local search volume.

Meta accounts are won or lost on creative, not targeting. We run a structured testing programme: multiple hooks against the same offer, video against static, parent-voice against student-voice, testimonial against outcome claim. Winners are scaled horizontally into fresh audiences rather than by simply raising budgets, which is what causes cost per result to spike.

Lead-form campaigns are configured for quality over volume — higher-intent form types, qualifying questions, and instant CRM delivery so your team can respond within minutes rather than the following day.

For EdTech platforms and institutions running their own learning experience, we build the product itself — iOS, Android and web — with the same performance discipline we apply to media. That means analytics and event tracking designed in from the start, not bolted on after launch, so that acquisition, activation and retention are measurable from day one.

On the web side, most of our work is conversion infrastructure: fast landing pages built for a single promise, admission and enquiry flows that do not leak, and payment or booking integration that removes friction at the point of decision.

Everything above depends on measurement that reflects reality. We configure GA4 and Google Tag Manager properly, define conversion events that map to revenue rather than activity, and connect your CRM so the loop closes from ad click to enrolled student.

Reporting is a live dashboard, not a monthly slide deck. You see spend, cost per enrolment, return on ad spend and pipeline movement whenever you want to look — and because attribution runs on a cohort basis rather than a calendar month, you can judge a channel on what it actually produced rather than on what happened to close before the 30th.