Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Real Estate in South Africa

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

Cost Per Purchase for Real Estate in South Africa

October 2024 - October 2025

Insights

Detailed observation of presented data

Overview and key takeaways

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

  • Data availability: No monthly observations are available for the selected dataset (Real Estate, South Africa), so comparisons to the global baseline cannot be quantified this period.
  • Global baseline level: The global median cost-per-purchase averaged 47.73 over the last 13 months.
  • Highs and lows: Peak at 53.89 in Feb 2025; low at 32.29 in Sep 2025 (range of 21.60).
  • Trend direction: From Sep 2024 to Sep 2025, the baseline fell by 30.7%.
  • Volatility: Average month-to-month absolute change was 2.99 (median 1.16), with the largest single-month move a -29.3% drop in Sep 2025.
  • Seasonality: Costs rose into late Q4 and early Q1, aligning with typical holiday and new-year auction pressure, then eased through mid-year before a sharp September drop.

Data coverage

  • Selected data: No data points were returned for Real Estate in South Africa. As a result, in-market averages, highs/lows, and volatility cannot be calculated for the selection window.
  • Baseline: A continuous global time series from Sep 2024 to Sep 2025 is available for benchmarking.

Selected data overview

Because the Real Estate, South Africa time series is empty for this period, there are no in-market median cost-per-purchase values to summarize. Any relative positioning versus the market (above market, below average, in line) cannot be determined.

Global baseline trend

  • Average: 47.73 across Sep 2024–Sep 2025.
  • High: 53.89 (Feb 2025).
  • Low: 32.29 (Sep 2025).
  • First-to-last change: -30.7% (46.60 in Sep 2024 to 32.29 in Sep 2025).
  • Volatility:
  • Average month-to-month absolute change: 2.99.
  • Median month-to-month absolute change: 1.16.
  • Range: 21.60 between the high and low.

Notable monthly movements (baseline)

  • Oct 2024: +0.2% vs Sep; stable levels.
  • Nov 2024: -7.5% vs Oct; dip ahead of peak season.
  • Dec 2024: +19.3% vs Nov; pronounced Q4 increase.
  • Jan 2025: +1.5% vs Dec; continued firmness.
  • Feb 2025: +3.0% vs Jan; cycle peak.
  • Mar–May 2025: Gradual easing (-2.4%, -2.0%, -1.2%).
  • Jun 2025: -7.9% vs May; sharper pullback.
  • Jul–Aug 2025: Mild declines (-1.6%, -1.1%).
  • Sep 2025: -29.3% vs Aug; abrupt low.

Relative positioning vs. baseline

  • With no observations for Real Estate in South Africa, the relative level versus the global baseline cannot be quantified this period. The global series indicates elevated costs in late Q4 through early Q1, followed by mid-year softening and an unusually steep decline in September.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Real Estate and South Africa 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 South Africa, 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.

Optimize Smarter with Superads

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.

Get Started for free →

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.

South Africa Advertising Landscape

National Holidays

Jan 1New Year's Day
Mar 21Human Rights Day
Apr 18Good Friday
Apr 21Family Day
Apr 27Freedom Day
May 1Workers' Day
Jun 16Youth Day
Aug 9National Women's Day
Sep 24Heritage Day
Dec 16Day of Reconciliation
Dec 25Christmas Day
Dec 26Day of Goodwill

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas & Day of Goodwill), Mid-year retail (June Youth Day promotions)

Potential Advertising Impact

CPM and CPC might rise during long weekends like Human Rights Day, Freedom Day, and Heritage Day as leisure and travel-related media consumption increases. Retail CPMs may spike in late November–December for holiday shopping. Youth Day and National Women's Day might drive regional campaigns. Weekend extensions across public holidays may benefit weekend campaigns.

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.