Facebook Ads Cost Per Purchase Benchmarks for Real Estate in Germany

Facebook Ads cost-per-purchase benchmarks: Real Estate in Germany versus global

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

Main takeaways

• No monthly observations are available for Real Estate in Germany in the selected period, so direct segment-level averages, highs/lows, and volatility cannot be computed.
• The global baseline shows higher costs in late Q4 and early Q1, then a steady easing through summer and a sharp drop in September.
• Across the period, the global baseline averaged 47.82 per purchase; the high was 53.89 (February) and the low was 32.29 (September).
• Month-to-month absolute movement in the global baseline averaged 3.25 (about 6.8% of the period average), with the largest single-month change in September (-13.40 vs. August).
• From the first to last month, the global baseline decreased by about 30.8%.

Selected segment overview: Real Estate in Germany

• Data availability: The selected_data time series is empty for the period provided. As a result:
• Average, high, low, and percentage change cannot be calculated.
• Volatility and seasonality for this segment cannot be assessed from the provided data.

Global baseline benchmarks (all industries/countries)

• Period average of monthly medians: 47.82 cost-per-purchase.
• Median of monthly medians: 48.96.
• High: 53.89 in February 2025.
• Low: 32.29 in September 2025.
• Range: 21.60 between the period high and low.
• Seasonality:
• Costs rose in December (51.53) and remained elevated through Q1 (52.31 in January, 53.89 in February, 52.61 in March).
• Mid-year softening is evident from April–August (51.57 to 45.69).
• September shows a notable dip to 32.29, the lowest point in the series.
• Volatility:
• Average absolute month-to-month change: 3.25 (≈6.8% of the period average).
• Largest one-month swing: September vs. August (-13.40), reflecting a pronounced late-Q3 correction.
• First-to-last change:
• From October 2024 (46.67) to September 2025 (32.29): -30.8%.

Comparison: Real Estate in Germany vs. global baseline

• Positioning: Because there are no recorded monthly medians for Real Estate in Germany in the selected period, relative positioning versus the global baseline (above market, below average, or in line) cannot be determined.
• Directional context: If future German Real Estate data follows the global pattern, marketers should anticipate higher cost-per-purchase around Q4 and early Q1, with easing into mid-year and potential late-Q3 dips. However, no segment-specific evidence is available in this dataset window.

Seasonal context

• The global series supports typical platform-wide seasonality: costs typically increase in Q4 around holiday periods and remain comparatively elevated into early Q1, then moderate through mid-year.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Real Estate and Germany helps advertisers make more efficient budget and creative choices.