Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for Real Estate in India

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CTR (Click Through Rate) for Real Estate in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Real Estate in India vs. global

This analysis looks at click-through-rate trends for industry Real Estate and target country India compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall positioning: Real Estate in India averaged a 1.32% click-through-rate across the observed months, about 23% below the comparable global baseline (1.72%).
  • Volatility: The selected series is notably more volatile than the global trend, with a sharp February spike followed by a March pullback. The global baseline moves in smaller, steadier steps.
  • Seasonality: The global series softens into February and then rises steadily through late summer/early fall, peaking in September. The India Real Estate series shows a February spike that diverges from the softer global February.
  • Net change: From November 2024 to March 2025, India Real Estate CTR rose by 0.29 points (+32.5%), while the comparable global baseline was essentially flat over the same window (-0.2%).

Selected series overview: Real Estate in India

  • Average: 1.32% (Nov 2024, Feb 2025, Mar 2025)
  • High/low: High at 1.88% (Feb 2025); low at 0.89% (Nov 2024); range of 0.99 points
  • First-to-last change: 0.89% (Nov 2024) to 1.18% (Mar 2025), +0.29 points (+32.5%)
  • Notable movements:
  • Nov → Feb: +0.99 points (+110.7%), a sharp spike
  • Feb → Mar: -0.70 points (-37.1%), a sizable correction
  • Volatility snapshot: Average absolute change between reported months is ~0.84 points, indicating elevated instability across the period.

Global baseline context

  • Full-period baseline (Oct 2024–Sep 2025) average: 1.81%
  • High/low across the year: Peak at 2.12% (Sep 2025); low at 1.67% (Feb 2025)
  • Baseline seasonality: A mild dip into February followed by a steady rise from March through September; average month-to-month absolute change of ~0.05 points signals stable, gradual movement.

Direct comparison: India Real Estate vs. global baseline

  • Averages on overlapping months: 1.32% (India Real Estate) vs. 1.72% (global), about 23% below market.
  • Month-by-month positioning:
  • Nov 2024: 0.89% vs. 1.74% global (≈49% below market)
  • Feb 2025: 1.88% vs. 1.67% global (≈12% above market)
  • Mar 2025: 1.18% vs. 1.74% global (≈32% below market)
  • Highs/lows in context:
  • The India Real Estate high (1.88% in Feb) outperformed the global February value (1.67%) but remained below the global annual peak (2.12% in Sep).
  • The India Real Estate low (0.89% in Nov) was well below the global low for the period compared (1.67% in Feb).

Seasonality and trend takeaways

  • The global pattern shows softer click-through-rates through February and a steady upswing from spring into Q3, culminating in a September peak.
  • India Real Estate diverges with a February spike above global levels, followed by normalization in March, leaving the overall period still below the global benchmark.

Understanding click-through-rate benchmarks on Facebook Ads in industry Real Estate and India helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the Real Estate industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting India, advertisers should consider local market factors and user behavior. Different campaign objectives lead to varying costs based on how Facebook optimizes for your specific goals. Why we use median instead of average We use the median CTR because the underlying distribution of click-through rates is highly skewed, with a small share of campaigns achieving extremely high CTRs. These outliers can inflate a simple average, making it less representative of what most advertisers actually experience. By using the median—which sits at the midpoint of all campaigns—we provide a more rigorous and realistic benchmark that reflects the true underlying data model and helps you set attainable performance expectations. The data shown represents median values across multiple campaigns, and individual results may vary based on ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

We use the median CTR because the underlying distribution of click-through rates is highly skewed, with a small share of campaigns achieving extremely high CTRs. These outliers can inflate a simple average, making it less representative of what most advertisers actually experience. By using the median—which sits at the midpoint of all campaigns—we provide a more rigorous and realistic benchmark that reflects the true underlying data model and helps you set attainable performance expectations.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.

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The data behind the benchmarks

All data is sourced from over $3B in Facebook ad spend, collected across thousands of ad accounts that use Superads daily to analyze and improve their campaigns. Every data point is fully anonymized and aggregated—no individual advertiser is ever exposed.

This dataset updates frequently as new ad data flows in. It will only get bigger and better.

India Advertising Landscape

National Holidays

Jan 26Republic Day
Mar 14Holi
Apr 18Good Friday
May 1Labour Day
Aug 15Independence Day
Oct 2Mahatma Gandhi Jayanti
Oct 21Diwali
Dec 25Christmas Day

Key Shopping Season

October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)

Potential Advertising Impact

CPMs might spike significantly during Diwali, especially in electronics, apparel, jewellery, and gifts. Black Friday/Cyber Monday and December could drive elevated ad competition. State-specific festivals might see regional campaign spikes. Bank closures during holidays may push online shopping to cluster in end-of-week periods.

What is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.