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Facebook Ads Cost Per Purchase Benchmarks for Real Estate in New Zealand

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Cost Per Purchase for Real Estate in New Zealand

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Real Estate and target country New Zealand compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected data was available for Real Estate in New Zealand during the period, so relative positioning (“above market”, “below average”, or “in line with overall trends”) cannot be determined.
  • Globally, cost per purchase averaged 47.82 over the last 12 months, peaking in February (53.89) and bottoming in September (32.29), a 30.8% decrease from October to September.
  • Volatility was moderate: the average month-to-month move was 3.25 (about 6.8% of the average), with the sharpest rise from November to December (+8.34) and the largest drop from August to September (-13.40).
  • Seasonal pattern: costs typically lift through December and into Q1 (highest in February), then ease into mid-year. A pronounced dip appears in September.

Scope and context

  • Metric: cost per purchase (median by month).
  • Selection: industry Real Estate, country New Zealand, compared with the global baseline.
  • Data window: October 2024 to September 2025.
  • Note: The selected dataset for New Zealand (Real Estate) contains no observations for the period; the figures below describe the global baseline to provide directional benchmarks.

Selected dataset overview

  • Availability: No monthly observations in the selected dataset for Real Estate in New Zealand.
  • As a result, averages, highs/lows, and volatility metrics for the selection cannot be computed for this period.

Global baseline benchmarks

  • Average: 47.82 across the last 12 months.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • Range: 21.60 between the monthly high and low.
  • First-to-last change: from 46.67 (October 2024) to 32.29 (September 2025), down 30.8%.
  • Volatility: average absolute month-to-month change of 3.25.
  • Notable moves:
  • November → December: +8.34 (seasonal lift into year-end).
  • August → September: -13.40 (a 29.3% monthly decline).
  • Seasonal pattern:
  • Q4 2024 average: 47.13 (October–December).
  • Q1 2025 average: 52.94, about 12.3% higher than Q4, with the peak in February.
  • Mid-year (June–August) average: 46.29, followed by a pronounced September dip.

Comparison to the global trend

  • With no observed data for Real Estate in New Zealand, a direct comparison to the global baseline is not possible for this period.
  • The global trend shows elevated cost per purchase through Q4 and especially Q1, followed by easing into mid-year and a sharp reduction in September. Any future New Zealand Real Estate data can be evaluated against these baseline levels and seasonal patterns to determine whether local performance runs above market, below average, or in line with overall trends.

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

New Zealand Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 2Day after New Year's Day
Feb 6Waitangi Day
Apr 18Good Friday
Apr 21Easter Monday
Apr 25ANZAC Day
Jun 2King's Birthday
Jun 20Matariki
Oct 27Labour Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November–early December (Black Friday/Cyber Monday), Christmas season (Boxing Day sales), Mid‑year promotions (Matariki in June), Back-to-school (late January/early February)

Potential Advertising Impact

CPM and CPC might rise around Waitangi Day and ANZAC Day as public events increase media consumption. Matariki is new public holiday with growing awareness—advertising may see elevated competition. Late November–December Black Friday/Cyber Monday could drive ad costs significantly. Regional anniversary holidays may cause local inventory shifts.

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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