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Facebook Ads Cost Per Purchase Benchmarks for Textiles in Netherlands

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Cost Per Purchase for Textiles in Netherlands

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Textiles and target country Netherlands compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The Netherlands Textiles series averages 65.77, with a high of 108.79 (Dec 2024) and a low of 38.24 (Jul 2025). From Oct 2024 to Aug 2025, costs fell 54.7%.
  • Versus the global baseline (average 49.24; high 53.89 in Feb 2025; low 43.19 in Nov 2024), the Netherlands Textiles series is 34% above market on average, but drops below market in several late-spring and summer months.
  • Volatility is high: average month-to-month absolute change is 25.6% for the Netherlands Textiles series vs 4.7% for the baseline.
  • Seasonality is clear: a pronounced spike in December and softer pricing in late spring and mid-summer. This pattern is stronger than in the global trend, which is steadier and peaks modestly in Q1.

Selected data overview: Textiles in the Netherlands

  • Average and range: The median cost per purchase averages 65.77 across 11 months, ranging from a December high of 108.79 to a July low of 38.24 (a 2.85x spread).
  • Trend over time: From Oct 2024 (95.61) to Aug 2025 (43.34), the series declines by 54.7%.
  • Volatility: Month-to-month changes average 25.6% in absolute terms.
  • Biggest increases: +38.7% from Nov to Dec 2024 and +47.5% from May to Jun 2025.
  • Sharpest declines: -28.8% from Feb to Mar 2025, -28.1% from Apr to May 2025, and -32.7% from Jun to Jul 2025.
  • Notable spikes/dips: The December peak stands out; a three-month slide from Feb to May leads into a brief June rebound before another dip in July.

Comparison to the global baseline

  • Level comparison: The Netherlands Textiles average (65.77) is 34% above the global baseline (49.24).
  • Highs and lows: While the baseline’s peak reaches 53.89 (Feb 2025) and its low is 43.19 (Nov 2024), the Netherlands Textiles series spans much wider (108.79 to 38.24).
  • Volatility: Baseline month-to-month changes average 4.7% in absolute terms, indicating a steadier pattern than the Netherlands Textiles series.
  • First-to-last change: Baseline declines a modest 2.1% from Oct 2024 to Aug 2025, compared with a 54.7% decline in the Netherlands Textiles series.
  • Above/below market positioning:
  • Above market: Oct, Nov, Dec 2024; Jan, Feb, Apr, Jun 2025 (notably +111% in Dec 2024).
  • Below market: Mar, May, Jul, Aug 2025 (e.g., -24% in May, -17% in Jul).

Seasonality and notable shifts

  • Q4/Q1 pattern: Costs typically rise in Q4 around holiday periods; the Netherlands Textiles series shows a pronounced December spike (108.79), while the baseline builds more gradually into a February peak.
  • Spring and summer: The Netherlands Textiles series softens from March through May, rebounds in June, then dips again in July before stabilizing in August. The baseline remains comparatively stable through these months.

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

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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.

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.