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Facebook Ads Cost Per Purchase Benchmarks for Real Estate in Norway

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Cost Per Purchase for Real Estate in Norway

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • No selected-data points were available for Real Estate in Norway, so a direct comparison to the global baseline cannot be computed for this period. The summaries below provide directional context from the global baseline.
  • Global cost-per-purchase averaged 47.82 across the last 12 months, peaking at 53.89 in February 2025 and bottoming at 32.29 in September 2025.
  • From October 2024 to September 2025, the global series declined by 30.8%, with average absolute month-over-month movement of about 7.0%.
  • Seasonal pattern is clear: costs climb in late Q4 and remain elevated into Q1, then ease through summer, with a pronounced dip in early fall.

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

About the scope

  • Metric: cost-per-purchase (median, monthly)
  • Industry: Real Estate
  • Country: Norway
  • Series: selected_data (Norway Real Estate) versus global baseline

Selected-data highlights (Real Estate, Norway)

  • The selected_data time series contains no observations for the period provided.
  • As a result, averages, highs/lows, percent change, and volatility cannot be reported for Norway Real Estate in this export.

Global baseline overview

  • Average: 47.82
  • High: 53.89 (February 2025)
  • Low: 32.29 (September 2025)
  • First-to-last change: down 30.8% from October 2024 (46.67) to September 2025 (32.29)
  • Volatility: average absolute month-over-month change ≈ 7.0%
  • Notable moves:
  • November → December 2024: +19.3% (43.19 to 51.53), a typical holiday-season lift.
  • August → September 2025: −29.3% (45.69 to 32.29), the sharpest monthly decline in the period.

Seasonal patterns and volatility

  • Seasonality aligns with common Facebook Ads benchmarks: costs typically rise in late Q4 (holiday demand) and stay elevated into Q1. In this period, December 2024 through February 2025 shows elevated levels culminating in a February peak (53.89).
  • A gradual easing follows in spring and summer (April–August mostly trending from 51.57 to 45.69).
  • A pronounced early-fall dip appears in September 2025 (32.29), well below the annual average.

Comparison to global baseline

  • Because the selected Norway Real Estate series has no data, relative positioning versus the market (above market, below average, in line with overall trends) cannot be established from this file.
  • The baseline figures above offer a reference point for contextualizing future Norway Real Estate results against global levels and typical seasonal swings.

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

Norway Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 20Easter Sunday
Apr 21Easter Monday
May 1Labour Day
May 17Constitution Day
May 29Ascension Day
Jun 8Whit Sunday
Jun 9Whit Monday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Singles Day), December (Christmas & post‑Christmas sales), Spring holiday period (April–May travel and tourism)

Potential Advertising Impact

CPM and CPC could rise during Easter and Ascension when Norwegians travel or spend time on leisure. Constitution Day (May 17) is widely celebrated—media activity may increase and ad competition could intensify. Most public holidays result in shop closures; ad inventory may shrink during holidays. Pentecost weekend may reduce weekday competition.

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.