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Facebook Ads Cost Per Lead Benchmarks for Consulting in Denmark

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Cost Per Lead for Consulting in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-lead trends for industry Consulting and target country Denmark compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Overall level: Denmark’s Consulting cost-per-lead (CPL) averaged 230.03, about 6.2x above the global baseline average of 37.06 (+522%). The median CPL was 57.17 vs a global median of 38.47 (+49%), indicating “typical” months were moderately above market while the mean was skewed by large spikes.
  • Volatility: Extremely high in Denmark. Average absolute month-to-month change was ~366% vs ~9.8% globally. CPL ranged from 1,239.96 (May 2025 high) down to 1.31 (Aug 2025 low).
  • Trajectory: From the first month (Sep 2024) to the last observed month (Aug 2025), Denmark’s CPL fell by 99.3%, while the global trend rose 12.6%. Denmark was above market in 7 of 12 months, below in 5.

Dataset overview

  • Metric: cost-per-lead (CPL)
  • Scope: Consulting industry, Denmark; compared to a global baseline.
  • Period: Sep 2024–Aug 2025.

Denmark (Consulting) CPL highlights

  • Average: 230.03; Median: 57.17.
  • High: 1,239.96 in May 2025; Low: 1.31 in Aug 2025; Range: 1,238.65.
  • Notable spikes/dips:
  • Nov 2024 surged to 827.39 (+1,477% vs Oct), followed by a sharp drop to 31.09 in Dec (−96% vs Nov).
  • Apr 2025 jumped to 218.33 from 12.58 in Mar (+1,636%), then spiked again to 1,239.96 in May (+468% vs Apr).
  • Costs declined steadily into summer, reaching 61.87 in Jul and 1.31 in Aug (−98% vs Jul).
  • Seasonality signals: A pronounced spike in November (Q4) aligns with typical higher advertising pressure around holidays, but Denmark’s December reverted to a low level, indicating atypical volatility rather than a smooth seasonal uplift.

Global baseline context

  • Average: 37.06; Median: 38.47.
  • High: 41.58 (Nov 2024); Low: 31.12 (Oct 2024); Range: 10.45.
  • Baseline month-to-month movement was stable (average absolute change ~9.8%), with a mild Q4 uplift (Nov and Dec above Oct), and a modest rise from Sep 2024 to Aug 2025 (+12.6%).

Denmark vs. global benchmark

  • Level comparison:
  • Mean: Denmark +522% above market; Median: +49% above market.
  • Denmark was above the global baseline in 7/12 months (notably Sep, Oct, Nov 2024 and Apr–Jul 2025) and below in 5/12 months (Dec 2024–Mar 2025 and Aug 2025).
  • Volatility comparison:
  • Denmark’s CPL volatility (avg absolute MoM ~366%) far exceeded the global norm (~9.8%), signaling highly erratic monthly outcomes.
  • Seasonal patterning:
  • Global data shows a modest Q4 increase typical of holiday competition.
  • Denmark displayed an outsized November spike and an exceptional May peak, followed by a steep summer drop, deviating from the smoother global seasonal shape.
  • Quarterly color:
  • Q4 2024: Denmark average 303.65 vs global 37.44 (well above market, driven by Nov).
  • Q1 2025: Denmark 22.12 vs global 35.75 (below market).
  • Q2 2025: Denmark 513.89 vs global 38.86 (far above market on April–May spikes).
  • Q3 2025 to date: Denmark 31.59 vs global 37.85 (below market).

Understanding COST_PER_LEAD benchmarks on Facebook Ads in industry Consulting 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 Consulting 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.