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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

Across all countries, Real Estate saw a Cost per Purchase that ran materially above the global benchmark and moved with far sharper swings. The year’s story opens high, surges to a springtime peak, then collapses into an early-summer trough before climbing back to a steadier late‑Q3/Q4 footing. In short: elevated costs with dramatic seasonality and outsized volatility. 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 compared to the global benchmark.

The story in the data

Real Estate’s Cost per Purchase began at $130 in November 2024 and finished at $87 in October 2025, a 33% decline end to end. The median averaged $111 across the period, ranging from a high of $219.88 in April to a low of $12.50 in June — a $207 swing peak to trough. The cadence was punchy: modest month-over-month growth into December (+$1.15), a jump in January (+$28.59), a pair of pullbacks in February and March (−$34.85 combined), then the year’s defining surge in April (+$94.97). That spike was followed by a steep come‑down: −$72 into May and a dramatic −$135 into June. From the June bottom, costs rebounded: +$7 in July, +$73.90 in August, a dip to $59.73 in September, and a partial lift to $87.13 in October.

Volatility tells the same story. Real Estate’s average absolute monthly move was $46.27, far choppier than the global benchmark’s $2.40. Put differently, Real Estate swung about 19× more month to month.

Seasonal and monthly dynamics

Seasonality came through strongly. Costs were elevated through Q4 and Q1 (averaging roughly $131 in late 2024 and $143 in Q1 2025), then surged to an April peak before compressing abruptly in early summer. June marked the low point at $12.50; July remained subdued at $19.51. Late summer and early fall brought a partial recovery, with August at $93.40 and October stabilizing at $87.13. This rhythm aligns with broader platform patterns where competition can intensify in late Q4 and spring promotions, while engagement and conversion economics can soften into early summer before rebalancing.

Country vs. Global

Against the all‑industry global benchmark, Real Estate remained structurally higher and far more volatile. Real Estate averaged $110.89 versus the global $49.51 — about 2.2× above market. The benchmark itself stayed contained between $42.73 and $53.81, gently climbing into February and easing by October, ending near $45.51.

Relative gaps were wide most months. April was the largest divergence: $219.88 for Real Estate vs. $51.39 globally, roughly 327% above market. The gap narrowed noticeably in September ($59.73 vs. $49.50, about 21% above). Two months bucked the pattern entirely: June ($12.50) and July ($19.51) sat well below the global levels (−74% and −58%, respectively). Overall, Real Estate was above the global Cost per Purchase in 10 of 12 months, with sharper swings at every turn.

Closing

Facebook Ads benchmarks for Cost per Purchase in the Real Estate industry across all countries point to elevated, swing‑heavy acquisition costs versus the global all‑industry baseline. While CPC trends and CPM analysis often frame the broader market, this Cost per Purchase view captures the true price of conversion and clarifies how Real Estate’s CTR performance and conversion dynamics translated into bottom‑line, country‑agnostic ad costs over the past year.

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.