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Facebook Ads Cost Per Lead Benchmarks for SaaS & Cloud Platforms in Denmark

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Cost Per Lead for SaaS & Cloud Platforms in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: SaaS & Cloud Platforms in Denmark vs global

This analysis looks at cost-per-lead trends for industry SaaS & Cloud Platforms 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 average cost-per-lead (CPL) was 37.48, essentially in line with the global baseline at 37.06 (+1.1% “above market”).
  • Volatility: Denmark showed much higher month-to-month swings (median absolute change ≈ 62%) than the global trend (~5%), with sharp spikes in October, January, and June.
  • Range: Denmark’s CPL ranged from 2.74 to 65.18, versus the tighter global range of 31.12 to 41.58.
  • Seasonality: Global costs peaked in November and remained elevated through Q4. Denmark spiked early in October, dipped sharply in December, rebounded in January, and peaked mid-year in June.
  • Trajectory: From the first to the last observed month, Denmark rose +1,351% (distorted by an unusually low September), while the global baseline increased +12.6%.
  • Relative positioning: Denmark was above the global level in 7 of 12 months, notably October, November, January, February, April, June, and August.

Denmark SaaS & Cloud Platforms CPL: trend highlights

  • Average: 37.48 across Sep 2024–Aug 2025.
  • High/low: High in June 2025 at 65.18; low in September 2024 at 2.74.
  • Notable movements:
  • Surge from September to October (2.74 → 61.84).
  • Sharp Q4 dip in December to 10.08 after a November reading of 43.16.
  • Strong rebound in January (61.05) and new high in June (65.18).
  • Easing in July (27.79) with a partial recovery in August (39.76).
  • Typical month-to-month volatility (median abs % change): ~61.6%.

How Denmark compares to the global baseline

  • Average level: Denmark 37.48 vs global 37.06 (near parity; “in line with overall trends”).
  • High/low comparison: Denmark’s high (65.18) far exceeds the global peak (41.58 in Nov 2024), while its low (2.74) sits far below the global trough (31.12 in Oct 2024), indicating wider oscillation.
  • First-to-last change: Denmark +1,351% vs global +12.6% (the Denmark figure is amplified by the September outlier).
  • Volatility: Denmark’s month-to-month swings are materially larger (median abs change ~62%) than global (~5%).
  • By month: Denmark ran above the global baseline in 7/12 months, including the Q1–Q2 stretch (Jan, Feb, Apr, Jun) and October/November.

Seasonal patterns and monthly highlights

  • Q4: Global CPLs rose into November (41.58) and remained elevated in December (39.63). Denmark peaked early in October (61.84), softened in November (43.16), and dipped sharply in December (10.08).
  • Q1: Denmark rebounded strongly in January (61.05) and stayed elevated in February (45.27) before falling in March (17.39). Global trended steadier and lower in this period.
  • Q2: Denmark moved higher again, culminating in a mid-year peak in June (65.18), outpacing the relatively flat global baseline (~38–40).
  • Q3 (to August): Denmark moderated (27.79 in July, 39.76 in August), sitting slightly below global in July and slightly above in August.

Understanding cost-per-lead benchmarks on Facebook Ads in industry SaaS & Cloud Platforms 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 SaaS & Cloud Platforms 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.