Compare lead generation cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Denmark’s cost-per-lead picture this period reads like a study in outliers and recovery. On average the Danish series is much higher than the global benchmark when measured by mean, but its median aligns closely with global levels — a sign that a few extreme months drive most of the headline gap. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for All industries available in Denmark compared to the global benchmark.
From July 2025 to May 2026 Denmark’s monthly median cost per lead (CPL) swung from a high of 3,236 DKK in October 2025 to a low of 10.08 DKK in March 2026. The 10-month mean CPL is roughly 476 DKK, versus a global baseline mean of about 47 DKK for the same months — a tenfold difference driven by a couple of extreme spikes. The series’ median (the midpoint of monthly values) is ~48.6 DKK, which is nearly on par with the global median (~46.9 DKK). That contrast — mean vs median — tells the quantitative story: two large outliers (July ~1,081 DKK and October ~3,236 DKK) inflate the average, while most months sit in the tens of DKK.
Key monthly moves read like swings on a pendulum. July began elevated (~1,081 DKK) then fell sharply into September (~95 DKK). October produced the peak (3,236 DKK, an increase of roughly 3,300% vs September), followed by a collapse of about 98% into November (54 DKK). December–March settled into low double-digits, with March marking the trough (10.08 DKK). April and May saw renewed lift to ~42.7 DKK and ~172 DKK respectively.
The Denmark series lacks a conventional seasonal cadence; instead it displays episodic spikes and rapid reversion. Where many baselines show predictable Q4 pressure and Q1 normalization, Denmark recorded a dramatic Q3–Q4 surge into October and an abrupt normalization through Q4 into Q1. March’s low sits in contrast to the Q4 spike; April and May show re-acceleration but not a return to the October extreme. Overall, the rhythm is high-amplitude and event-driven rather than smoothly seasonal.
Against the global baseline (roughly 42–53 DKK across these months), Denmark is simultaneously “above market” by mean and “near market” by median. The global baseline stayed in a narrow band (about 41–53 DKK), showing low volatility. Denmark’s CPL was far more volatile: several month-to-month swings exceeded 300%, a few exceeded 1,000%, and the high-to-low multiple across the year was about 321x (3,236 / 10.08). In relative terms, Denmark’s mean CPL was roughly 900–1,000% above the global mean, while its median tracked within a few percentage points of the global median.
Understanding Cost Per Lead benchmarks for All industries available in Denmark — and how they diverge from Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance globally — provides a clear view of how country-specific ad costs and industry ad performance can be shaped by episodic volatility in a market like Denmark.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Denmark, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day
Travel campaigns may raise CPM and CPC during Easter. Retail and hospitality competition may increase in late December. Whit Weekend may reduce weekday competition. Holiday retail closures may lower competition while pre-holiday CPMs rise.
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.
Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.
Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.
Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.
For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.
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