Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Real Estate

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Real Estate

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • This analysis looks at cost per purchase trends for industry Real Estate and target country All countries available compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Overall level: the selected average cost per purchase was 181.37 versus a global baseline of 49.02—about 3.7x above market.
  • Trend: from September 2024 to August 2025, the selected series declined 71.8% (316.61 to 89.47), while the baseline eased 2.0% (46.60 to 45.69).
  • Volatility: selected data showed very high month-to-month variability (average absolute change ≈198% or 128.94 in value terms), compared to a stable baseline (≈4.3% or 2.04).
  • Seasonality: Real Estate costs peaked in Q4 (notably November), softened in Q1, dipped sharply in early summer (June–July), then rebounded in August—while the global trend was steady with mild Q4 elevation.

Overview of the selected trend (cost per purchase)

  • Average: 181.37 across 12 months.
  • High and low: peaked at 488.72 in November 2024; bottomed at 4.26 in June 2025 (followed by 5.70 in July).
  • First-to-last change: −71.8% from September 2024 (316.61) to August 2025 (89.47).
  • Notable movements:
  • October → November: +256.4% (137.14 to 488.72), a sharp Q4 spike.
  • November → December: −43.3% (488.72 to 277.07), still elevated into holiday season.
  • May → June: −97.9% (198.13 to 4.26), an anomalous early-summer collapse.
  • July → August: +1,469% (5.70 to 89.47), a strong rebound from the trough.
  • Volatility: average absolute month-to-month change ≈198% (128.94), indicating large swings across the year.

Comparison to the global baseline

  • Baseline average: 49.02, with a narrow range relative to the selected series.
  • Baseline high/low: highest in February 2025 (53.89), lowest in November 2024 (43.19).
  • Stability: average absolute month-to-month change ≈4.3% (2.04), signaling a steady global market.
  • Relative positioning:
  • Above market in 10 of 12 months. The largest premium was in November 2024 (488.72 vs 43.19: ~11.3x above baseline).
  • Below market in June and July 2025 (4.26 vs 46.96 and 5.70 vs 46.21, respectively).
  • By August 2025, the selected cost per purchase (89.47) remained ~96% above baseline (45.69).

Seasonal patterns and volatility

  • Q4 effects: costs typically increase in Q4 around holiday periods; Real Estate showed a pronounced November peak with elevated December.
  • Q1 cooling: January and March were lower versus Q4 highs, aligning with broader seasonality.
  • Early-summer anomaly: an exceptional dip in June–July followed by a sharp August rebound, contrasting with the globally steady, mildly declining baseline.

Understanding cost per purchase benchmarks on Facebook Ads in industry Real Estate and All countries available helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the Real Estate industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. Different campaign objectives lead to varying costs based on how Facebook optimizes for your specific goals. 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.

What's a healthy cost per purchase for ecommerce brands?

It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.

How does product price impact CPA benchmarks?

Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.

Why are my purchase costs going up despite stable ROAS?

Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.

Should I use manual bidding to control CPA more effectively?

Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.

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