DVIGA’s CEO
MBA, UTS Australia
13+ years in marketing
Timofey Beloglazov
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Real Estate Advertising in Dubai
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How we doubled client volume and eliminated wasteful clicks.

Real Estate Advertising in Dubai

The Challenge

A Dubai-based real estate agency approached us with a problem: they already had a marketing agency… but something felt "off". While their analytics showed a decent volume of leads, only 25% were actually qualified. Our task was to reduce the Cost Per Deal while significantly increasing the ratio of qualified leads (SQLs).
Note: This project is under NDA, therefore, specific client details will remain confidential. Our goal here is to highlight the strategies, results, and insights that may be valuable to our readers.

The Solution

Our strategy involved a phased approach: analytics, media planning and strategy, preparation, and launch.

We started by auditing their existing campaigns in Yandex Direct. At the time, this was their only source of paid online traffic. By benchmarking against current market trends, we identified several critical errors preventing them from reaching the desired outcome:

Geo-targeting was limited to Russia

Yandex Direct allows advertisers to target CIS countries, where Yandex services are widely used. Since the CIS is a major market for Dubai real estate agencies, ignoring these regions was a missed opportunity.

Weak value propositions

The ads lacked conviction. They relied on generic buzzwords like "profitable", "reliable", and "investments". An audience looking to invest in Dubai real estate needs specifics: numbers, timelines, guarantees, and advantages. Compare the difference:
Tip: Even if you have a website, do not ignore these tools. In many projects, they drive significant results.

Creatives didn’t match the asset class

The visuals failed to convey a "premium" feel. With property prices starting at $ 300,000, this is not a mass-market product — the visuals needed to reflect it.

Poor lead form setup

The existing lead forms resulted in low lead reachability. User data was autofilled, which often made it incorrect. Switching to manual entry reduced errors.

Campaign setting flaws

  • Ads directed traffic to a generic homepage rather than a relevant page, lowering form-fill conversion rates.
  • Broad targeting segments of the campaigns caused ads to show to non-relevant audiences.
  • Budget was wasted on irrelevant keywords like "apartment rental" or "Moscow new builds", which lowered CTR and increased CPC.
  • On mobile devices and during evening hours, the cost per lead was almost two times higher, yet bids were not adjusted.

As noted, Yandex Direct was generating "expensive" leads, largely due to poor setup of the ad campaign. However, based on our experience in this niche, on foreign platforms, leads cost less. We proposed optimizing Yandex Direct while simultaneously testing global channels: Google Ads and Meta (Facebook/Instagram)*. Since many potential clients live abroad and use international platforms, ignoring these channels is a luxury no agency can afford.

* The Meta Company is recognized as an extremist organization and is banned on the territory of the Russian Federation.

Preparation

Revamped offers. We injected data into every ad: minimum price, handover dates, payment plans, expected income, payback period, and legal status.

New creatives (static & video). We bet on video content, based on competitor experience and high conversion rates for the format. Spoiler: it paid off. We featured brokers explaining the advantages of specific developments, investment nuances, and the urgency to buy. All materials were adapted for English-speaking audiences.

Expanded analytics. We added fields to the CRM client card: geography, language, interested location/developer, budget, goal, source, and ad message. This sped up lead qualification.

Goal tracking. Moving to new promotion strategies, we took into account the positive experience of the previous agency. We set "WhatsApp Inquiry" as a separate conversion goal. In the UAE, WhatsApp is the standard for communication. Its high open rate and use frequency make it one of the most effective channels for initial contact.

We created a promotion strategy and set up advertising accounts for each channel.

The Results

Since each channel has its own peculiarities, we share the key takeaways and results by channel.

Google Ads: Search + Performance Max (PMax)

We used Search primarily for brand and location-based queries to capture high-intent users (already familiar with the brand or actively looking for real estate in the preferred district). Performance Max (PMax) served as our universal tool, automatically displaying ads across the entire Google ecosystem: YouTube, Images, Discover, Gmail, and Maps.

For PMax, we developed specific asset groups: video reviews of high-demand developments highlighting key benefits; creative visuals focusing on facades and apartment interiors; responsive ads with punchy copy regarding location, dates, and pricing.
Insight: The highest quality leads came from YouTube.

Meta (Facebook/Instagram)

For the feed, we used creatives with photos of the properties, views, and renders of amenities. For stories, we produced short, dynamic videos highlighting lifestyle and location benefits. We used carousel ads to display floor plans and unit options, making it easier for users to compare visually.

We also leveraged Advantage+ (formerly Automated Ads). This Meta AI tool automatically optimizes creatives, copy, and audience targeting. By analyzing user behavior, the system finds users most likely to convert.

Combining manual campaigns with Advantage+ allowed us to increase reach while simultaneously improving lead quality.

Yandex Direct: Search + YAN

We built new campaigns from scratch as it was faster than fixing the existing ones.

We segmented audiences across all campaigns. Search ads featured clear offers focused on timelines, location, and benefits. We wrote unique copy and sitelinks for each query type. We included callouts.

For the Yandex Advertising Network (YAN), we focused on these audience attributes:
  • Retargeting site visitors
  • Look-alike audiences
  • Contextual targeting on real estate and investment sites

We launched with manual bidding to gather primary data and control costs, then switched to an automated "Conversion Optimization" strategy to stabilize lead prices.

In two months across all advertising channels, we reached the following results:

Key Insights

  • We tested both quizzes and lead forms. Quizzes delivered higher conversion rates.
  • Google Ads provided the highest traffic quality.
  • "Top Development Collections" and "Short Payback Period" offers performed best.
  • Approximately 60% of leads originated from Europe and the CIS.
  • Creatives that worked for international audiences did not perform well for Russian/CIS audiences.
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CEO of the agency
Timofey Beloglazov
A comprehensive marketing overhaul — from strategy and creatives to deep analytics -allowed the agency to secure a stable flow of quality leads while lowering acquisition costs. The primary win wasn’t just a lower CPL, but an increase in real buyers reaching the consultation and deal closing stages.

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