Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Real Estate in Australia

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

Cost Per Purchase for Real Estate in Australia

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, Real Estate in Australia showed a markedly higher cost per purchase than the global baseline—about 11x higher on average across the overlapping months (Feb, Apr, May 2025).
  • The selected series rose sharply from February to May (+350%), with pronounced month-to-month volatility, while the global baseline was steady to slightly down over the same period (-5%).
  • Within the global benchmark, costs typically lift in December–February and then ease into mid‑year, aligning with well-known seasonal patterns in Facebook Ads.

Scope

This analysis looks at cost per purchase trends for industry Real Estate and target country Australia compared to the global trend. We summarize the median monthly values provided and compare against the broader baseline to position country- and industry-specific performance within overall Facebook Ads benchmarks.

Selected data overview: Real Estate in Australia

  • Coverage: Feb 2025, Apr 2025, May 2025.
  • Average of monthly medians: 574.09.
  • High: 985.57 (May 2025).
  • Low: 219.05 (Feb 2025).
  • Change from first to last month: +349.9% (Feb → May).
  • Month-to-month volatility:
  • Feb → Apr: +298.60 (+136.3%).
  • Apr → May: +467.92 (+90.4%).
  • Average absolute step change: 383.26.

These figures indicate a steep upward trajectory with sizable jumps between reported months and a wide range (766.52) across the period.

Global baseline context

  • Overlapping months average (Feb, Apr, May 2025): 52.14.
  • High/low across overlapping months: 53.89 (Feb) / 50.97 (May).
  • Change from Feb → May: -5.4%.
  • Month-to-month volatility (overlapping months):
  • Feb → Apr: -2.32 (-4.3%).
  • Apr → May: -0.60 (-1.2%).
  • Average absolute step change: 1.46.
  • Broader 13‑month baseline (Sep 2024–Sep 2025):
  • Average: 47.73; high: 53.89 (Feb 2025); low: 32.29 (Sep 2025).
  • Sep 2024 → Sep 2025: -30.7%.

The baseline shows a seasonal lift from December through February (51.53 in Dec 2024 and 53.89 in Feb 2025), followed by a gradual softening into mid‑year—consistent with holiday‑period inflation and post‑peak normalization.

Comparison: selected vs. baseline

  • Level: Real Estate in Australia averaged 574.09 vs. a global 52.14 across the same months—about 11x above market.
  • Trend: The selected series increased sharply (+350%) versus a mild decline for the baseline (-5%), marking the selected series as clearly above average and rising against a stable-to-softening global backdrop.
  • Volatility: Selected month-to-month percentage changes averaged roughly 113% in absolute terms, far above the baseline’s ~3%, indicating substantially higher variability.

Seasonality and timing

  • The global pattern points to higher costs in Q4–Q1 and easing by late Q1 into Q2.
  • The selected series is only available from February to May 2025; within that window, it accelerated through April and peaked in May, diverging from the baseline’s mild downtrend.

Understanding cost per purchase benchmarks on Facebook Ads in industry Real Estate and Australia 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 Australia, advertisers typically see good engagement rates despite moderate costs. 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.

Australia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 27Australia Day (observed)
Apr 18‑21Easter weekend
Apr 25Anzac Day
Jun 9King's Birthday
Oct 6Labour Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late December (Christmas and Boxing Day), Early December (Cyber Monday), January (Back-to-school), May (Mother's Day)

Potential Advertising Impact

Ad costs could spike around major holidays, especially Easter, Anzac Day, and Christmas. Increased budgets and earlier scheduling may be necessary. Retailers should consider planning promotions around back-to-school and Mother's Day to maximize campaign effectiveness.

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.