See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Across all countries, Real Estate stands out in Facebook Ads benchmarks for cost per purchase. The category runs materially “above market” on cost and far more volatile than the global baseline. It opened at $132 in December 2024, surged through early 2025, collapsed midyear, then rebuilt into a higher-cost Q4 finish at $176. By contrast, the global benchmark held in a tight $45–55 band and drifted lower. The biggest storyline: dramatic Real Estate swings around midyear and a strong year-end rebound, versus a steady global ease.
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 across all countries compared to the global benchmark.
Over the 13-month window, Real Estate cost per purchase averaged $118.70 with a median of $124.91, ranging from a high of $219.88 in April to a trough of $12.50 in June. The path was choppy: $213 in January, down to $145 in February and $125 in March; a fresh peak at $220 in April; a sharp slide to $148 in May and a dramatic drop to $12.50 in June, followed by a gradual rebuild—$19.51 in July, $93.60 in August, $69.56 in September, $90.57 in October, $98.07 in November, and $176.17 by December. From December to December, cost per purchase rose 33%.
Volatility defined the category. Month-to-month moves averaged $56.9, versus just $1.71 for the global benchmark—over 30 times more variable. The spread within Real Estate was wide at $207 across the period, while the global spread was a contained $9.75.
Seasonality showed an inverted arc: the highest quarter was Q1 2025 (average $161), supported by January and April spikes; Q2 averaged $127, clipped by the June low; Q3 was the softest at $61 as the market reset; and Q4 recovered to $122, culminating in December’s $176. The rhythm reads like a surge, correction, and rebound. This contrasts with a typical pattern where costs often firm in Q4—here, the global benchmark eased through late year while Real Estate lifted.
Against the global baseline (average $50.74), Real Estate ran 134% higher on average. The gap swung dramatically: Real Estate fell below global levels in June ($12.50 vs. $50.00, −75%) and July ($19.51 vs. $48.17, −59%), but sat well above global costs in most other months. April’s peak was 321% above the market ($219.88 vs. $52.12). By December, Real Estate finished 291% above global ($176.17 vs. $45.02), while the global benchmark declined 13% year over year (December to December).
Trends diverged as well: the global line slipped steadily (Q1 average $53.6 to Q4 $47.1), whereas Real Estate’s curve was choppier, dropping from Q1’s $161 to Q3’s $61 before rebounding in Q4. In short, Real Estate was consistently more volatile and typically above-market on cost per purchase, with a midyear reset and late-year lift.
Understanding Facebook Ads cost-per-purchase benchmarks for the Real Estate industry across all countries highlights a year defined by surges, a midyear dip, and a decisive Q4 recovery—consistently higher and more variable than the global benchmark. These country-agnostic, industry ad performance trends provide a clear reference point for evaluating conversion-cost dynamics alongside broader CPC trends, CPM analysis, and CTR performance in Real Estate.
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.
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.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app