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Facebook Ads Cost Per Lead Benchmarks for Textiles in Denmark

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead for Textiles in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per lead trends for the Textiles industry in Denmark compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • On average, Denmark’s Textiles CPL sat markedly above market: 174.30 versus a global baseline of 37.44 over the same months (≈4.7x higher).
  • The series is highly volatile. After a moderate Q4, CPL spiked to 181.09 in February, collapsed to nearly 1–2 from March to June, then surged to 585.76 in July and 833.96 in August.
  • Seasonality is visible: modest elevation in Q4 aligns with typical holiday pressure; however, the extreme July–August jump is well above normal seasonal patterns and far above the global baseline.

About the data

  • Metric: cost per lead (monthly medians).
  • Selection: Industry = Textiles; Country = Denmark. Baseline represents the global benchmark.

Selected trend overview

  • Average: 174.30 across Oct 2024–Aug 2025.
  • High/low: Peak in August 2025 at 833.96; trough in March 2025 at 1.26.
  • First-to-last move: From 100.13 (Oct 2024) to 833.96 (Aug 2025), a +733% increase.
  • Volatility highlights:
  • Q4 2024 was elevated but stable to softening: 100.13 → 74.83 → 75.52 (Oct–Dec).
  • Early 2025 shifted sharply: 59.19 (Jan) → 181.09 (Feb) → 1.26 (Mar).
  • Spring stabilized at very low levels: roughly 1.26–2.00 (Mar–Jun).
  • Summer surge: 585.76 (Jul) → 833.96 (Aug), a +42% month-over-month climb.

Comparison to the global baseline

  • Average comparison: Denmark Textiles at 174.30 versus global 37.44 (≈4.7x higher).
  • High/low comparison:
  • Global range stayed narrow: 31.12 (low, Oct 2024) to 41.58 (high, Nov 2024).
  • Denmark ranged vastly wider: 1.26 to 833.96.
  • First-to-last move: Global rose from 31.12 to 37.03 (+19%), a steady, modest climb versus Denmark’s +733%.
  • Monthly positioning versus global:
  • Q4 2024: Denmark above market (≈1.8–3.2x the baseline).
  • Feb 2025: well above market (181.09 vs 38.86; ≈4.7x).
  • Mar–Jun 2025: far below market (≈95% under the global baseline, hovering near 1–2).
  • Jul–Aug 2025: dramatically above market (≈15x in July; ≈22.5x in August).

Seasonality and volatility

  • Seasonal context: Costs typically increase in Q4 around holiday periods. Both series reflect higher Q4 levels relative to January.
  • The global baseline shows mild, consistent seasonality with limited fluctuation.
  • Denmark Textiles diverges with extreme volatility: an early-year spike, a spring collapse to near-zero levels, and a pronounced midsummer surge that sits far above overall trends.

Month-by-month highlights

  • Q4 2024: 100.13 (Oct), 74.83 (Nov), 75.52 (Dec). Elevated versus global but relatively contained.
  • Feb 2025 peak-to-trough: 181.09 (Feb) → 1.26 (Mar), a sharp reversal.
  • Mar–Jun 2025: sustained lows around 1.26–2.00, well below the global baseline (≈32–39).
  • Jul–Aug 2025: major spike to 585.76 and 833.96 respectively, far exceeding the global 37–39 range.

Understanding cost per lead benchmarks on Facebook Ads in industry Textiles and Denmark 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 Denmark, 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.

Denmark Advertising Landscape

National Holidays

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

Key Shopping Season

Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day

Potential Advertising Impact

CPM and CPC could rise during Easter period due to travel-related campaigns. Late December ad competition might intensify in retail and hospitality. Whit Weekend might reduce weekday competition. Strict retail closures on holidays could drop competition, but pre-holiday CPMs may escalate.

What is considered a good cost per lead on Facebook in 2025?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.

How can I generate leads at a lower cost without hurting lead quality?

Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.