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Facebook Ads Cost Per Lead Benchmarks for Finance in Denmark

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

Cost Per Lead for Finance in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks summary

This analysis looks at cost-per-lead trends for industry Finance 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.

Key takeaways

  • Overall level: Denmark’s Finance cost-per-lead averaged 229.01 across the months provided, about 6.1x above the global baseline average of 37.44 for the same months.
  • Volatility: Extremely high month-to-month variability in Denmark (average absolute change 141.06) versus a far steadier global trend (3.80), indicating much larger swings than the market.
  • Seasonal pattern: Both series show higher costs in late Q4; Denmark then spikes sharply in April and remains elevated into early Q3.
  • Trajectory: Denmark rose from 1.07 in Sep 2024 to 496.74 in Jul 2025, an approximate +46,360% increase, driven by large jumps in March–April and sustained elevated levels afterward.
  • Relative positioning by month: Denmark was below market in Sep, Nov, Jan, and Feb; above market in Dec, Mar, Apr, Jun, and Jul.

Selected trend overview (Finance, Denmark)

  • Coverage: Sep 2024 to Jul 2025 (9 monthly medians).
  • Average: 229.01. Median months ranged widely, from a low of 1.07 (Sep 2024) to a high of 758.63 (Apr 2025), a range of 757.56.
  • First-to-last change: From 1.07 (Sep 2024) to 496.74 (Jul 2025), approximately +46,360%.
  • Notable spikes/dips:
  • Largest jump: +794% from Mar (84.83) to Apr (758.63).
  • Largest percentage drop: -62% from Dec (81.27) to Jan (30.51).
  • Material pullback: -27% from Apr (758.63) to Jun (550.78), though still far above earlier months.
  • Volatility: Average month-to-month absolute change of 141.06, reflecting outsized swings after Q1.

Comparison to the global baseline

  • Baseline months aligned to the same Denmark coverage: Sep 2024, Nov–Dec 2024, Jan–Mar–Apr 2025, Jun–Jul 2025.
  • Average: 37.44; high 41.58 (Nov 2024); low 32.84 (Mar 2025); range 8.74.
  • First-to-last change: 32.88 (Sep 2024) to 38.67 (Jul 2025), +17.6%.
  • Volatility: Average month-to-month absolute change of 3.80, with typical moves between -15% and +26%.
  • Relative level: Denmark averaged roughly 6.1x above market across overlapping months. It tracked below the baseline in Sep, Nov, Jan, and Feb, but flipped decisively above in Dec, Mar, and especially April–July where levels were multiples of the global trend.

Seasonality and volatility signals

  • Q4 effect: The global baseline rises in Q4 (Nov–Dec), and Denmark shows a similar pattern with December above November.
  • New-year reset: Both series ease in January, more moderately in the baseline and sharply in Denmark.
  • Spring surge: Denmark’s April spike stands out as an outlier versus the steady global market, with elevated costs persisting into June and July.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Finance 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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.