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Facebook Ads Cost Per Purchase Benchmarks for Gaming in Norway

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

Cost Per Purchase for Gaming in Norway

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Compared to the global baseline, Gaming in Norway shows two distinct regimes in cost-per-purchase: exceptionally low levels through Q4 2024 (well below market), followed by an extreme spike in January 2025 (far above market).
  • Q4 2024 in Norway was stable-to-low with a sharp drop in November and a small rebound in December; January 2025 introduced a thousands-fold jump that dominates the period average.
  • The global baseline follows familiar seasonal patterns: softer in November, rising into December and holding slightly higher in January. Overall baseline volatility is modest month to month.

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

Overview of the selected trend (Gaming, Norway)

  • Period covered: Oct 2024–Jan 2025 (4 monthly medians).
  • Average: 613.18 across the period, driven by an outlier in January.
  • High: 2,451.86 in Jan 2025.
  • Low: 0.164 in Nov 2024.
  • First-to-last change: from 0.501 in Oct 2024 to 2,451.86 in Jan 2025, a roughly 4,899x increase.
  • Month-to-month movement:
  • Oct → Nov: -67% (0.501 → 0.164)
  • Nov → Dec: +11% (0.164 → 0.182)
  • Dec → Jan: a thousands-fold jump (0.182 → 2,451.86)

Interpretation: Q4 costs were extremely low, with a notable dip in November and a modest December uptick. January marks a singular spike that radically changes the period average and range.

Comparison against the global baseline

To align timeframes, we compare Oct 2024–Jan 2025.

  • Global baseline average (Oct–Jan): 48.43; high 52.31 (Jan), low 43.19 (Nov).
  • Baseline month-to-month:
  • Oct → Nov: -7%
  • Nov → Dec: +19%
  • Dec → Jan: +1.5%
  • Relative positioning:
  • Q4 2024: Norway’s Gaming cost-per-purchase was far below market. Average for Oct–Dec was 0.28 versus 47.13 globally (≈99.4% lower).
  • January 2025: Norway’s 2,451.86 was about 46.9x the global 52.31 (≈4,590% higher), moving from “below market” to “well above market.”

Seasonality signals

  • Global pattern: costs typically firm in December and remain elevated into January, then ease later in the year (the baseline declines from the low 50s in Q1 to 32.29 by September).
  • Norway (Gaming): Q4 did not mirror the baseline’s December lift; instead, costs stayed very low, followed by a singular January surge.

Volatility profile

  • Selected series (Norway, Gaming) shows extreme volatility due to January. Excluding January, Q4 month-to-month shifts were sizable but directional (−67% then +11%).
  • Baseline volatility over the same period was moderate, with moves ranging from −7% to +19% and a small +1.5% uptick into January.

Understanding cost-per-purchase benchmarks on Facebook Ads in the Gaming industry 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 Gaming 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.