The Challenge
Picture this. Someone in Delhi searching “study in Canada” and someone searching “IELTS coaching near me” were landing on the exact same page. Same headline, same form, same everything. It’s like handing a menu to someone who just wants a haircut.
That was the account before the cleanup. One study abroad consultancy, two very different offerings (destination services like Study in USA, Canada, UK, Australia, and coaching for IELTS, GMAT, SAT, TOEFL), all mashed into campaigns that couldn’t tell them apart.
A quick tour of what was broken:
- One generic landing page for every service and every geography. No message match between ad and page
- Mixed-intent campaigns service leads and coaching leads competing in the same campaigns, diluting Quality Score and making performance impossible to read by service line
- Stale ad copy RSAs reused near-identical descriptions across ad groups with randomly ordered headlines, no pinning strategy
- No real conversion visibility tracking wasn’t set up to distinguish lead quality or user journey, so budget decisions were being made blind
And the budget wasn’t huge, so every wasted click actually stung.
The Fix
1. Account restructure by service, not by guesswork Split the account like it should’ve been from day one.
- Service campaigns: Study in USA / Canada / UK / Australia - each its own campaign
- Coaching campaigns: IELTS / GMAT / SAT / TOEFL - each its own campaign
This let budget, bidding, and messaging be tuned per service instead of averaged across a mixed pool.
2. Dedicated landing pages per service The single generic page was replaced with service-specific landing pages, so ad copy, search intent, and page content actually matched - critical for both Quality Score and conversion rate.
3. Full tracking rebuild
- Google Tag Manager setup from scratch
- New conversion actions mapped to real actions, not guesswork
- Micro-conversions added to catch earlier-funnel signals (form starts, page engagement, etc.) - useful for a low-budget account where macro-conversion volume alone isn’t enough signal
- Hotjar installed to see actual user behaviour on the new landing pages and catch friction points data alone wouldn’t show
4. Ad copy rebuilt per service The recycled, near-duplicate RSAs were replaced with copy written specifically for each service/coaching line, properly segmented ad groups, and a real pinning strategy - key headlines locked to Position 1 and 2 where the intent signal mattered most, rest left unpinned for Google to test.
Results
With a small budget, the goal wasn’t just “more leads” it was efficiency and lead quality relative to spend. After the restructure:
- Performance improved meaningfully relative to the same (small) budget
- Lead quality improved - a direct result of message-matched landing pages and intent-segmented campaigns replacing the old one-size-fits-all setup
The Takeaway
Nothing here was a secret trick. It was mostly common sense that got skipped the first time around: match the ad to the page, don’t mix unrelated intents in one campaign, and actually track what’s happening instead of guessing. Turns out doing the basics properly is still the biggest unlock most accounts are missing.