Compare lead generation cost benchmarks by industry, region, and campaign type.
September 2025 - August 2026
Benchmark observations based on the selected data
Real Estate cost-per-lead (CPL) in All countries available ran materially below the global benchmark over the 12-month window, but with sharper swings and several dramatic month-to-month reversals. 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.
Across July 2025 → June 2026 Real Estate CPL averaged roughly $29.5 per lead, starting at $30.28 in July and finishing at $19.00 in June — a net decline of about 37% from start to finish. The intra-year high hit $40.27 in January 2026 and the low was $16.21 in November 2025. Volatility was meaningful: month-to-month absolute changes averaged about $7.8 (≈26% of the mean), driven by double-digit swings such as a 113% jump from November ($16.21) to December ($34.49) and a 53% drop from May ($40.09) to June ($19.00).
By contrast the global baseline for the same months averaged about $46.04 per lead, with a narrower monthly average swing of roughly $3.6. Global CPL peaked in February 2026 near $53.22 and troughed in June 2026 at about $37.07.
Seasonal rhythm is visible but non-linear. The Real Estate series shows a soft late‑summer into autumn (August–November lows), then a sharp rebound into year‑end and early Q1 (December–January), followed by a sustained high through spring and an abrupt correction in June. In other words, Real Estate CPL softened into Q4, rebounded into early Q1, and experienced a steep mid‑year pullback. The baseline also climbed into late winter (Feb–Mar) before easing through spring, but its swings were more muted.
Notable monthly moves: September’s low (~$19.21) followed modest summer declines; December and January formed the high-water period (mid‑30s to low‑40s); May held near the year’s secondary peak (~$40.09) before the sharp June correction.
Real Estate CPL in All countries available trailed global CPL in every month, averaging about 36% lower overall (≈$16.5 less per lead). The gap fluctuated: the narrowest difference occurred in April (~9% below global), while the widest was November (~66% below global). Compared with the baseline, the Real Estate series was more than twice as volatile (monthly mean absolute change ~$7.8 vs ~$3.6), producing a pattern that was choppier and more sensitive to month-to-month swings than the market at large.
Across the year the global trend rose into late winter (+small net), whereas Real Estate exhibited sharper rebounds and deeper troughs, making its trajectory more episodic.
Understanding Cost per Lead benchmarks for Real Estate in All countries available provides a clear view of industry ad performance and country-specific ad costs trends against global CPL levels, useful for evaluating Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance context across industry ad performance.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. 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. 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 CPL 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.
A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.
Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.
Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.
Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.
For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.
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