See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Across all industries in Denmark, cost per lead spent much of the year oscillating between restrained and extreme, diverging sharply from the global benchmark at key moments. The year opened below market, then surged into a steep Q1 lift and an extraordinary July spike, before cooling into autumn at still-elevated levels. The global series, by contrast, moved in a narrow band with mild late‑year firmness. 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 in Denmark compared to the global benchmark.
Volatility was pronounced. Using month-to-month changes across the observed intervals, Denmark’s average absolute swing was about 270 points; removing the July anomaly, the underlying churn still averaged roughly 40. The global benchmark over the same intervals moved by only about 4.2 on average, underscoring how atypical Denmark’s amplitude was.
Relative to the global Facebook Ads benchmarks for CPL:
Viewed through cost per lead, all‑industry Facebook Ads benchmarks in Denmark tell a year of sharp swings: an early‑year lift, a mid‑year spike, and a late‑year cool‑down—consistently more volatile and generally above the global benchmark. Understanding cost‑per‑lead trends for all industries in Denmark helps marketers assess country‑specific ad costs, compare CPL performance to global patterns, and contextualize Facebook Ads benchmark movements over the year.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.
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.
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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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.
Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day
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.
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.
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.
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.
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.
If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
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