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Facebook Ads Cost Per Lead Benchmarks for Healthcare in Germany

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

Cost Per Lead for Healthcare in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: Healthcare in Germany vs global

This analysis looks at cost-per-lead (CPL) trends for industry Healthcare and target country Germany compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Main takeaways

  • Overall level: Healthcare CPL in Germany averaged 26.83 across the observed months, about 26% below the matched global baseline average of 36.40. The median in Germany (12.52) is 66% below the global median (37.03), signalling generally below-market costs.
  • Volatility: Germany shows very high month-to-month fluctuation (≈133% average absolute change between observations), versus a stable global pattern (≈10%). This is driven by a single April spike.
  • Seasonality: In Germany, CPL declined into December (the low), then surged in spring (April), eased by June, and normalized by August. Globally, costs were steadier with a mild Q4 lift (peaking in November), a modest April uptick, and relatively flat through summer.
  • Relative positioning: 7 of 9 observed months in Germany were below the global baseline; April and June were above market.
  • Trend over time: From the first to last observed month, Germany rose +15.7% versus +12.6% for the global baseline.

Healthcare CPL in Germany: key statistics

  • Average: 26.83; Median: 12.52
  • High/low: High 117.18 (Apr 2025); Low 4.71 (Dec 2024)
  • First-to-last change: 12.52 (Sep 2024) to 14.49 (Aug 2025), +15.7%
  • Notable spikes/dips:
  • Dip to 4.71 in Dec 2024 (the lowest point in the series)
  • Sharp surge to 117.18 in Apr 2025 (+704% vs Mar)
  • Retrenchment to 56.67 in Jun 2025 (-52% vs Apr), then normalization to 14.49 by Aug
  • Volatility: Average absolute sequential move ≈133%; excluding April and June spikes, the average CPL across remaining months was 9.67.

Germany vs global baseline: matched-month comparison

  • Averages: 26.83 (Germany) vs 36.40 (global) — Germany below market
  • Medians: 12.52 (Germany) vs 37.03 (global) — Germany well below market
  • High/low (global, matched months): High 41.58 (Nov 2024); Low 31.12 (Oct 2024) — tight global range vs Germany’s wide swings
  • Month coverage comparison: Germany was below the global baseline in Sep–Dec 2024, Jan and Mar 2025, and Aug 2025; above market in Apr and Jun 2025.
  • Volatility: Global average absolute sequential change ≈10.4% (steady), with a mild Q4 increase (Nov high) and modest April lift, aligning with known seasonal pressures. Germany’s pattern diverged: a December low followed by a spring spike.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Healthcare 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 Healthcare industry, Facebook ad costs can be higher than average due to specialized audience targeting and compliance requirements. 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.