Real estate · Dubai, UAE
Real estate case study: cost per qualified lead -47%
A Dubai brokerage combined community-level SEO with tightly matched Google Ads to cut cost per qualified lead by 47% while doubling organic enquiries.
Quick answer
A Dubai brokerage combined community-level SEO with tightly matched Google Ads to cut cost per qualified lead by 47% while doubling organic enquiries.
- Cost per qualified lead
- -47%
- Organic enquiries
- +108%
- Arabic organic traffic
- +320%
- Ad spend waste removed
- 61%
Key Takeaways
- Expert strategies tailored for Crawl control
- Data-driven approach without relying on guesswork
- Focus on sustainable, long-term search visibility
- Fully aligned with modern Answer Engine and AI search requirements
Client snapshot
| Field | Detail |
|---|---|
| Client | Dubai property brokerage |
| Industry | Real estate |
| Market | Dubai, UAE |
| Services used | SEO + Google Ads |
| Engagement length | 7 months |
The challenge
When dubai property brokerage came to AVR Web Consulting, growth had stalled for reasons that were structural, not cosmetic. The audit surfaced four blocking issues:
- Ads competing against portals with unlimited budgets
- No organic presence for community and off-plan project searches
- Bilingual audience with English and Arabic query patterns
- Lead quality unmeasured — sales could not tell which channel worked
What we did
- 1Community page systemBuilt 28 community and project pages with price trends, ROI data, amenities and school proximity — the details buyers actually search.
- 2Bilingual targetingAdded Arabic versions with correct hreflang and locally-worded queries instead of machine translation.
- 3Ads restructureRebuilt campaigns around intent tiers, cut 61% of wasted spend on investor-tourist traffic and matched ad copy to landing sections.
- 4Lead scoring loopIntegrated CRM outcomes back into Google Ads so bidding optimised for qualified leads, not raw form fills.
- 5Schema for listingsAdded RealEstateListing and Place schema so listings surface in rich results and AI property answers.
Results after 7 months
| Metric | Before | After | Change |
|---|---|---|---|
| Qualified leads | 44/mo | 97/mo | +120% |
| Cost per qualified lead | AED 610 | AED 323 | -47% |
| Organic sessions | 9,300/mo | 21,400/mo | +130% |
| Arabic organic sessions | 500/mo | 2,100/mo | +320% |
In the client's words
"Same budget, twice the meetings — and the meetings are with real buyers." — Sales Director, Dubai property brokerage
What this means for similar businesses
- Combining community-level organic content with tightly restructured paid campaigns produces synergistic effects neither channel achieves independently in competitive real estate markets
- Arabic-language pages targeting locally-worded queries — not machine-translated versions of English content — drove a 320% increase in organic Arabic sessions because the query patterns differ materially
- Feeding CRM-qualified lead data back into Google Ads bidding is the single fastest way to shift a campaign from optimising for clicks to optimising for actual sales conversations
- RealEstateListing and Place schema make property inventory legible to both Google rich results and AI property research tools, opening a second visibility channel beyond portal listings
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