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Facebook Ads Cost Per Lead Benchmarks for E-commerce in Germany

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Cost Per Lead for E-commerce 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 E-commerce and target country Germany compared to the global trend.
  • Overall level: Germany E-commerce averaged 34.0, about 5% below the global baseline (35.8), indicating below-market costs across the period.
  • Seasonality: Clear Q4 escalation with a December peak in Germany (49.1), while the global trend peaked in November (41.6). Costs then corrected in January and again in March.
  • Volatility: Germany showed more than double the month-to-month volatility of the baseline (average absolute MoM move 9.8 vs. 4.5), with a sharp dip in September 2025.
  • Trend direction: From the first to last month, Germany fell 59.7% (28.9 to 11.6), steeper than the global decline of 37.3% (32.9 to 20.6).

Dataset and scope

  • Metric: cost per lead (median by month).
  • Selection: E-commerce in Germany versus the global baseline.

Germany E-commerce highlights

  • Average: 34.0
  • High: 49.1 in December 2024
  • Low: 11.6 in September 2025
  • First-to-last change: -59.7%
  • Range: 37.5 (49.1 high minus 11.6 low)
  • Volatility (avg absolute MoM change): 9.8
  • Notable movements:
  • Strong Q4 run-up: 28.9 in September → 35.2 in October → 42.9 in November → 49.1 in December.
  • Correction: December → January dropped 36.3% (49.1 to 31.3).
  • Biggest jump: March → April +8.8.
  • Biggest dip: August → September 2025 -71.2% (40.4 to 11.6).

Global baseline context

  • Average: 35.8
  • High: 41.6 in November 2024
  • Low: 20.6 in September 2025
  • First-to-last change: -37.3%
  • Range: 20.9
  • Volatility (avg absolute MoM change): 4.5
  • Seasonality: Elevated in Q4, peaking a month earlier than Germany (November), followed by moderated declines into Q1 and a pronounced August → September drop (-44.3%).

Relative positioning versus the global benchmark

  • Germany was below market in 9 of 13 months; above market in 4 months (notably October–December and August).
  • The December 2024 high in Germany (49.1) sat about 18% above the global peak (41.6), underscoring stronger Q4 pressure locally.
  • The September 2025 trough in Germany (11.6) was 44% below the global level (20.6), driving a larger full-period decline and wider range.

Seasonal patterns and trend narrative

  • Q4 costs rose consistently in Germany, peaking in December; the global series peaked in November, both aligning with holiday-driven pressure.
  • Q1 pulled back in both series, with Germany showing deeper swings (notably January and March).
  • Mid-year saw rebounds (April–May) and intermittent dips (June in Germany), before an August uptick and a sharp September reset, steeper in Germany than globally.

Understanding cost per lead benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.