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Facebook Ads Cost Per Purchase Benchmarks for Real Estate in Israel

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Cost Per Purchase for Real Estate in Israel

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • No in-market data points were available for Real Estate in Israel during the period, so direct country/industry benchmarks can’t be computed. The global baseline provides directional context.
  • Global baseline median cost per purchase averaged 47.82 across the last 12 months, peaking in February (53.89) and bottoming in September (32.29).
  • Overall baseline trend declined 30.8% from October to September, with a notable Q4 lift and elevated Q1 levels before broad softening into summer and a sharp September dip.
  • Volatility in the baseline was moderate: the average absolute month‑to‑month move was 3.25 (~6.8% of the 12‑month average), with the largest jump in December (+19.3% vs. November) and the steepest drop in September (−29.4% vs. August).

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

Scope and data coverage

  • Metric: cost per purchase (median, by month).
  • Selection: Industry = Real Estate; Country = Israel.
  • Selected data: no monthly observations available in the period provided.
  • Baseline: global monthly medians from 2024‑10 to 2025‑09.

Global baseline: cost per purchase trend

  • Average across the period: 47.82.
  • High: 53.89 (February 2025).
  • Low: 32.29 (September 2025).
  • Range: 21.60 between high and low.
  • First to last month: 46.67 (October 2024) to 32.29 (September 2025), a −30.8% change.
  • Month‑to‑month volatility:
  • Average absolute change: 3.25 (~6.8% of the average level).
  • Biggest rise: December 2024 vs. November 2024, +8.34 (+19.3%).
  • Biggest drop: September 2025 vs. August 2025, −13.40 (−29.4%).

Seasonality patterns

  • Late Q4 uptick: Costs fell into November, then jumped in December, consistent with higher competition around holiday periods.
  • Q1 strength: January and February stayed elevated, with February setting the annual high.
  • Gradual cooling through spring and summer: A steady drift down from March through August.
  • September reset: A pronounced step-down to the annual low.

Comparison to Real Estate in Israel

  • There are no selected data points for Real Estate in Israel during the months provided, so we cannot quantify “above market,” “below average,” or “in line with overall trends” status for this selection.
  • In absence of local values, the global baseline serves as a directional benchmark: expect higher costs around December–February and softer conditions from late spring into early fall, with potential sharp moves at summer’s end.

Understanding cost per purchase benchmarks on Facebook Ads in industry Real Estate and Israel 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 Israel, advertisers should consider local market factors and user behavior. 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.

Israel Advertising Landscape

National Holidays

Apr 13–19Passover
May 1Independence Day
Jun 2Shavuot
Sep 23–24Rosh Hashanah
Oct 2Yom Kippur
Oct 7–14Sukkot

Key Shopping Season

Passover (April), Sukkot and Fall holidays (Sept–Oct), Hanukkah (December)

Potential Advertising Impact

CPM and CPC might rise during Passover as consumers prepare homes and plan meals. Fall holiday cluster may see media consumption fluctuate—consumers often offline during holidays, but prior week advertising demand may peak. Yom HaAtzmaut might spark tourism and leisure engagement. Hanukkah could drive e‑commerce CPMs for toys and electronics.

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.

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