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October 2025 - September 2026
Benchmark observations based on the selected data
Real Estate click-through-rate (CTR) performance ran clearly above the global baseline over this 13‑month window, with a choppy upward momentum and one standout late spike. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Real Estate in All countries available compared to the global benchmark.
The Real Estate CTR series opened at 2.17% in July 2025 and closed at a much higher 4.72% in July 2026 — a full +117% lift from start to finish. Across the period the median CTR for Real Estate averaged roughly 2.82%, with monthlies ranging from a low of 2.17% (July 2025) to a high of 4.72% (July 2026). By contrast the global baseline averaged about 2.04% over the same months.
Real Estate exceeded the global benchmark every month, with gaps ranging from about +15% (narrowest in March 2026) to +102% (widest in July 2026). Notable monthly moves included a strong early spike in August 2025 (3.17%), a high in November 2025 (3.48%), a dip into December 2025 (2.59%), and the pronounced surge into July 2026. On average Real Estate CTR was roughly 38% above the global benchmark across the window.
Volatility was material: the standard deviation of the Real Estate CTR series is about 0.65 percentage points versus roughly 0.13 points for the global baseline — around five times more variable. Absolute month‑to‑month swings averaged about 0.60 points for Real Estate compared with ~0.08 points for the global series.
The series shows a hectic rhythm rather than a smooth seasonal curve. Q3 and late‑Q4 exhibited alternating strength and softness: August 2025 and November 2025 were high points, followed by a December retreat. The start of 2026 held around the mid‑2% range before a steady rise through spring and an outsized peak in July 2026. Typical seasonal cues (Q4 competition pressure and Q1 normalization) appear alongside market‑specific surges — the November and July highs stand out as the period’s most pronounced deviations.
Monthly cadence was uneven: several ~0.6–1.0 point swings occurred in adjacent months (July→August 2025 and August→September 2025), and the July 2026 jump (≈+2.13 points) dwarfed prior movements. That single late spike drives much of the period’s upward trajectory and contributes heavily to the elevated volatility.
Across All countries available the Real Estate CTR consistently sat above market. The relative gap versus baseline varied: narrowest in March 2026 at roughly +15% and widest in July 2026 at about +102%. While the global trend showed modest, low‑volatility increases (average ~2.04%, SD ~0.13 points), Real Estate delivered both higher medians and far greater month‑to‑month variability (average ~2.82%, SD ~0.65 points). In short, Real Estate was above average and more volatile than the global benchmark throughout the year.
Understanding Facebook Ads click-through-rate benchmarks for Real Estate across All countries available clarifies how CTR performance diverged from broader market patterns and highlights the pronounced seasonality and volatility in Real Estate CTR performance.
Facebook advertising cost benchmarks
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. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. Why we use median instead of average A small share of campaigns has extremely high CTRs. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CTR values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
CTR (Click-Through Rate) is the percentage of people who click an ad after seeing it. Calculate it by dividing total clicks by total impressions, then multiplying by 100. A high CTR can indicate that an ad resonates with its audience and may improve relevance score, which can lower overall costs.
Average Facebook ad CTR across industries is around 0.90-1.10%. Use your industry, audience targeting, and campaign objectives when choosing a benchmark.
Low CTR can result from audience targeting, creative, or a mismatch between ad content and audience needs. Check whether the visuals draw attention, the copy addresses clear pain points, and the targeting reaches people interested in the offer.
CTR is useful in context. A high CTR can signal that creative works, but it does not guarantee conversions. Review it with metrics such as conversion rate.
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