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Facebook Ads Cost Per Lead Benchmarks for Design in Germany

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

Cost Per Lead for Design in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

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

This analysis looks at cost-per-lead trends for industry Design 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: Germany’s Design cost-per-lead (CPL) averaged 382.91 across the last 12 months, about 10.3x above the global baseline average of 37.06, signaling consistently above-market costs.
  • Volatility: The selected series is highly volatile (median month-to-month absolute change ≈ 82%), versus a much steadier baseline (≈ 5.4%).
  • Seasonality: The baseline shows a mild Q4 lift (peak in November), while Germany’s Design CPL diverges—very high in early fall 2024, collapsing in Q1 2025, then surging into summer with a July spike.
  • Trend from first to last month: Germany’s series fell 11.7% from September 2024 to August 2025; the baseline rose 12.6% over the same period.
  • Relative positioning by quarter: Only Q1 2025 dipped below market; every other month ran well above global norms.

Scope and dataset

  • Metric: cost-per-lead
  • Industry: Design
  • Country: Germany
  • Period: Sep 2024–Aug 2025
  • Comparison: global baseline over the same months

Selected data overview (Design in Germany)

  • Average: 382.91
  • High: 778.08 in July 2025
  • Low: 5.46 in February 2025
  • Notable movements:
  • Sep–Oct 2024 stayed elevated (745.07 → 759.87).
  • Sharp declines: Oct→Nov (-20.5%), Nov→Dec (-81.8%), Dec→Jan (-90.6%).
  • Q1 2025 trough: Jan–Mar averaged 9.06.
  • Rebound and surge: Mar→Apr (+>10x), extended rise into May–Jul, peaking in July (778.08) before easing in August (657.81).
  • First-to-last change: -11.7% (745.07 in Sep 2024 to 657.81 in Aug 2025).
  • Volatility: Median absolute month-to-month change ≈ 82%, with the biggest single-month increase from March to April (>1,000%).

Comparison to the global baseline

  • Baseline average: 37.06 (High: 41.58 in Nov 2024; Low: 31.12 in Oct 2024).
  • Baseline seasonality: Slight Q4 lift with a November peak, then modest oscillations in the mid-30s to low-40s through summer.
  • Relative positioning:
  • Above market for most months: Sep–Dec 2024 and Apr–Aug 2025 were significantly higher than baseline.
  • Below market in Q1 2025: Jan–Mar posted CPLs (10.27, 5.46, 11.44) well under the baseline (35.54, 38.86, 32.84); Q1 average in Germany (9.06) was about 75% lower than the global norm (~35.75).
  • Stability: The global trend was steady (median MoM change ≈ 5.4%), contrasting with Germany’s sharp swings.

Seasonal patterns and notable fluctuations

  • Baseline aligns with typical holiday effects (higher in November).
  • Germany’s Design CPL diverged: elevated in early fall 2024, collapsed in Q1, then escalated sharply into summer with a pronounced July spike before a modest August retreat.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Design 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 Design 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.