Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Gaming in Netherlands

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

Cost Per Purchase for Gaming in Netherlands

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, this analysis looks at cost per purchase trends for industry Gaming and target country Netherlands compared to the global trend.
  • Overall levels in the Netherlands were above market: the average cost per purchase was 459.90, versus a global baseline of 49.81 across the same months (+823%). Excluding a January anomaly, the Dutch average was 61.51, still 23% above baseline.
  • Volatility was extreme. After an 89.7% drop in December, January spiked by +19,533%, then fell 97.7% in February. By June, costs were 63.3% lower than in November.
  • Seasonal patterns: the global baseline shows a typical December uptick, while the Netherlands data diverged with a sharp December dip and a singular January spike.

What the Netherlands Gaming time series shows

  • Coverage: six observed months from Nov 2024 to Jun 2025.
  • Average: 459.90; median levels (outside the January spike) clustered in the 44–121 range.
  • High and low:
  • High: 2,451.86 in January 2025.
  • Low: 12.48 in December 2024.
  • First-to-last change: from 121.49 (Nov 2024) to 44.54 (Jun 2025), a 63.3% decrease.
  • Notable swings:
  • December dropped 89.7% vs November (counter to typical Q4 uplift).
  • January spiked to 2,451.86, an outlier.
  • February normalized to 55.57 (−97.7% vs January).
  • May and June settled in a mid-range (73.44 and 44.54), with June down 39.4% vs May.
  • Volatility:
  • Including January, average absolute month-to-month movement was dominated by the spike.
  • Excluding January, the average absolute change was still high at ~64.7%, signaling a choppy market.

Comparison to the global baseline

  • Average level (overlapping months: Nov, Dec, Jan, Feb, May, Jun):
  • Netherlands Gaming: 459.90
  • Global baseline: 49.81
  • Result: +823% above global; excluding January, Netherlands averaged 61.51 (+23% vs baseline).
  • High/low vs baseline:
  • Baseline high over the same months: 53.89 (Feb 2025); low: 43.19 (Nov 2024).
  • Netherlands peaked far above any global month (2,451.86 in January).
  • Trend over time:
  • Baseline moved modestly from 43.19 (Nov) to 46.96 (Jun), +8.7%.
  • Netherlands moved from 121.49 to 44.54, −63.3%, driven by a December dip, a January spike, and subsequent normalization.
  • Monthly positioning vs baseline:
  • November: 121.49 vs 43.19 (+181%, above market).
  • December: 12.48 vs 51.53 (−75.8%, below market).
  • January: 2,451.86 vs 52.31 (+4,587%, far above market).
  • February: 55.57 vs 53.89 (+3.1%, in line/slightly above).
  • May: 73.44 vs 50.97 (+44.1%, above market).
  • June: 44.54 vs 46.96 (−5.2%, slightly below).

Seasonality context

  • Global data typically shows higher costs in Q4, with a December lift. In contrast, Netherlands Gaming costs fell sharply in December, spiked in January, then converged toward baseline by late spring and early summer. Overall, aside from the January anomaly, the Netherlands tracked slightly above global levels with higher short-term volatility.

Understanding cost per purchase benchmarks on Facebook Ads in Gaming and Netherlands 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 Netherlands, 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.

Netherlands Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday
Apr 20Easter Sunday
Apr 21Easter Monday
Apr 26King's Day
May 5Liberation Day
May 29Ascension Day
Jun 8Pentecost Sunday
Jun 9Pentecost Monday
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November–early December (Black Friday/Cyber Monday), December (Christmas and Boxing Day sales), Spring holidays (April–June tourism)

Potential Advertising Impact

CPM and CPC might rise during spring holiday cluster when travel and leisure ads see elevated engagement. Liberation Day (May 5) is mandatory national holiday—ad inventory might shrink. Ad competition increases in late December for holiday promotions. Few summer holidays mean more consistent campaign performance through summer.

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.