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Facebook Ads Cost Per Purchase Benchmarks for Real Estate in United States

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Cost Per Purchase for Real Estate in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads benchmarks: cost per purchase trends

This analysis looks at cost per purchase trends for industry Real Estate and target country United States compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • Real Estate in the United States sits well above market: the average cost per purchase is 132.72, around 2.7x the global baseline (49.24) across the same months.
  • The selected series trended down from October 2024 to August 2025 by 35.8%, ending at its lowest level in August (89.57).
  • Volatility is high: average month‑to‑month absolute change is 20.4% versus 4.7% globally.
  • Seasonality shows a modest December bump, a sharp spike in late winter/spring (peak in April), then a steady slide through summer to August lows. The global baseline shows a milder late‑Q4/early‑Q1 lift.

United States Real Estate: what the data shows

  • Overall level:
  • Average: 132.72 across Oct 2024–Aug 2025 (11 months).
  • High: 187.97 in April 2025.
  • Low: 89.57 in August 2025.
  • First to last month: down 35.8% (139.54 in Oct 2024 to 89.57 in Aug 2025).
  • Volatility and notable moves:
  • Average month‑to‑month absolute change: 20.4%.
  • Largest jump: +51.1% from March to April (+63.57).
  • Sharpest drop: −37.4% from May to June (−61.29).
  • Pattern: after easing in November, costs rebounded in December, surged in February, dipped in March, and peaked in April before declining throughout summer (June–August).

Comparison to the global baseline

  • Overall level:
  • Average: 49.24 across the same period (Oct 2024–Aug 2025).
  • High: 53.89 in February 2025.
  • Low: 43.19 in November 2024.
  • First to last month: down 2.1% (46.67 to 45.69).
  • Volatility:
  • Average month‑to‑month absolute change: 4.7%.
  • Range is tight (10.69) versus the selected series’ much wider range (98.40).
  • Relative positioning:
  • United States Real Estate costs are consistently above market—about 2.7x the global median on average—and markedly more volatile (roughly 4x the month‑to‑month variability).
  • Seasonal signals differ: the baseline shows a modest late‑Q4/early‑Q1 lift (November dip, December/January rise, February high), while the United States Real Estate series experiences its dominant spike later, peaking in April and then easing into summer.

Seasonal perspective

  • Q4: Only a mild December uptick in the United States Real Estate data; the stronger seasonal lift appears globally.
  • Late winter/spring: The most pronounced increase occurs February to April in the United States series, culminating in the April high.
  • Summer: A steady decline through June–August, with August marking the series low.

Understanding cost per purchase benchmarks on Facebook Ads in industry Real Estate and United States 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. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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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