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Facebook Ads Cost Per Purchase Benchmarks for Real Estate

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Cost Per Purchase for Real Estate

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

The Real Estate market across all countries posted a dramatic year for cost per purchase (CPP) on Facebook Ads benchmarks—well above the global all‑industry baseline on average, but with outsized swings. CPP started high in November 2024 ($130) and peaked sharply in April 2025 ($220) before collapsing in early summer to record lows ($12–$20) and then rebuilding into Q4 ($90). By contrast, the global benchmark moved within a narrow band around $49. The story is one of elevated costs, punctuated by a mid‑year trough and a late‑year stabilization.

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.

Section 1: The story in the data

Across November 2024–October 2025, Real Estate CPP averaged $111, ranging from a high of $219.88 in April to a low of $12.50 in June—a 17x range. The period opened at $130 (Nov 2024) and closed at $89.75 (Oct 2025), a 31% decline from start to finish.

Key monthly movements highlight the year’s whiplash:

  • December edged up (+$1.15), then January surged to $159.76.
  • February–March cooled ($144.86 → $124.91), before April spiked to $219.88.
  • May corrected to $147.87, then June collapsed to $12.50; July remained unusually low at $19.51.
  • August rebounded to $93.40, September softened to $57.82, and October firmed to $89.75.

Volatility was the defining feature. The average absolute month‑over‑month swing for Real Estate was $46.9, far sharper than the global benchmark’s $2.58. In other words, Real Estate CPP moved about 18 times more per month than the broader market.

Section 2: Seasonal and monthly dynamics

The rhythm loosely tracks familiar seasonal pressure: elevated costs through late Q4 and Q1, a spring crescendo, and softer summer. Q4 2024 averaged $131, Q1 2025 rose further to $143, and Q2—pulled in opposite directions by April’s spike and June’s trough—averaged $127. Q3 2025 was the softest quarter at $57, before a tentative Q4 reacceleration in October ($90). The global baseline showed steadier seasonality: a mild lift through Q1 (averaging $52.8), gradual easing into Q3 ($48.9), and a softer October ($43.33).

Section 3: Country vs. Global

Relative to the global benchmark (average $49.33), Real Estate CPP across all countries ran high overall (average $111), about 2.3x the market. From November to April, Real Estate sat roughly 2.4–4.3x above global levels (e.g., April was +326% vs. market). The gap narrowed abruptly mid‑year: June and July fell 74% and 58% below the global benchmark, respectively. The spread then reopened, with August–October returning to +18% to +107% above market.

Trend-wise, the global line ended near where it started (+1.7% from November to October), while Real Estate declined 31% over the same span, with far choppier month‑to‑month movement. At its narrowest, the Real Estate CPP dipped below the global benchmark in June–July; at its widest, April’s CPP was more than quadruple the global level.

Closing

As a snapshot of Facebook Ads benchmarks, Real Estate cost‑per‑purchase across all countries shows elevated average costs, extreme mid‑year volatility, and a late‑year reset—contrasting with a steady global baseline. Understanding CPP trends for Real Estate across all countries available—alongside CPM analysis, CPC trends, and CTR performance—helps marketers gauge country‑specific ad costs and compare industry ad performance to the global benchmark.

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.