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Facebook Ads Cost Per Lead Benchmarks for Media in Germany

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Cost Per Lead for Media in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, this analysis looks at cost-per-lead trends for industry Media and target country Germany compared to the global trend.
  • Overall, Germany’s Media cost-per-lead sits above market on average (driven by two extreme spikes), yet it is below the global baseline in 11 of 13 months.
  • Seasonality: the global baseline shows a clear Q4 uplift and a sharp drop by September 2025. Germany’s Media series does not follow this Q4 pattern; instead, it is dominated by an extreme August 2025 spike.
  • Volatility: Germany shows very high month-to-month variability, including a >68,000% jump from July to August 2025 and a -99.6% drop the following month. The global series is comparatively steady.

Scope

  • Metric: cost-per-lead (median by month)
  • Industry: Media
  • Country: Germany
  • Comparison: Germany vs. global baseline for the same period (Sep 2024–Sep 2025)

Germany (Media) highlights

  • Average across the period: 165.6, skewed by September 2024 (502.9) and August 2025 (1,532.0).
  • Excluding those two outliers, the average is 10.7, indicating most months were low-cost.
  • High/low:
  • Highest: 1,532.0 in Aug 2025
  • Lowest: 1.37 in Jun 2025
  • First-to-last change: from 502.9 (Sep 2024) to 5.44 (Sep 2025), a -98.9% decline.
  • Notable spikes/dips:
  • Sharp drop from Sep to Oct 2024 (-98.1%).
  • Two-step lift Dec 2024 (+100.3% vs Nov) and Apr 2025 (+136.5% vs Mar).
  • Deep lows mid-year (Jun–Jul 2025 at 1.37 and 2.23).
  • Exceptional surge in Aug 2025 followed by a -99.6% reversion in Sep 2025.
  • Volatility:
  • Dominated by the August 2025 spike. Excluding that month, average absolute month-to-month change is roughly 67%, indicating meaningful fluctuations even in typical months.

Global baseline highlights

  • Average across the period: 35.8
  • High/low:
  • Highest: 41.6 in Nov 2024
  • Lowest: 20.63 in Sep 2025
  • First-to-last change: from 32.88 (Sep 2024) to 20.63 (Sep 2025), a -37.3% decline.
  • Seasonality:
  • Clear Q4 elevation (Nov–Dec: 41.6 and 39.6) and a steady slide toward a low in Sep 2025.
  • Volatility:
  • Average absolute month-to-month change ≈ 12.6%, indicating relatively stable benchmarks vs. Germany’s series.

Germany vs. global

  • Relative level:
  • Overall average in Germany is about 4.6x higher than global due to two outliers.
  • In 11 of 13 months, Germany is below market, often markedly so (typical months averaging 10.7 vs. global 35.8, roughly 70% lower).
  • Seasonal alignment:
  • The global Q4 uplift is visible in the baseline but not mirrored in Germany’s Media data (only a modest December uptick).
  • Germany’s standout event is the August 2025 spike, not reflected in the global trend.
  • Volatility:
  • Germany’s month-to-month movement is far more erratic than the global series, which remains comparatively steady and seasonal.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Media and Germany 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 Media industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Germany, 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.

Germany Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday
Apr 21Easter Monday
May 1Labour Day
May 29Ascension Day
Jun 9Whit Monday
Oct 3German Unity Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), Christmas shopping (late December), Back-to-school (August/September), Spring promotions (Easter period)

Potential Advertising Impact

Media consumption might rise during Easter, Ascension Day, and Pentecost, especially for travel campaigns. Late November and December bring pronounced spikes in retail advertising. German Unity Day often triggers localized campaigns. Regional holidays may create unique local competition. Sunday/holiday retail restrictions may contract ad inventory.

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.