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Facebook Ads Cost Per Lead Benchmarks for Gaming in Germany

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

Cost Per Lead for Gaming 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 Gaming and target country Germany compared to the global trend.
  • Average cost per lead (CPL) in the selection was 202.30 over the observed months, versus 37.70 in the global baseline for the same months — about 5.37x higher (+437%).
  • Volatility was markedly higher in the selection (average absolute month-over-month change ≈73%) than in the baseline (≈12.7%).
  • A sharp spike in November 2024 (564.53) preceded a rapid normalization to below-baseline levels from December 2024 through February 2025.
  • Seasonality is visible: the baseline shows higher CPL in Q4 (peaking in November), with easing into January–February.

About the dataset and scope

  • Metric: cost per lead (CPL) on Facebook Ads.
  • Selection: Gaming industry in Germany; compared against a global baseline (all industries/countries).
  • Selected data months available: Sep 2024, Nov 2024, Dec 2024, Jan 2025, Feb 2025.

Selected trend summary

  • Average CPL: 202.30 across the available months.
  • High: 564.53 in November 2024.
  • Low: 17.61 in January 2025.
  • First-to-last change: down 90.6% from September 2024 (360.05) to February 2025 (33.71).
  • Month-to-month movement:
  • Sep → Nov: +56.8%
  • Nov → Dec: −93.7%
  • Dec → Jan: −50.5%
  • Jan → Feb: +91.5%
  • Average absolute MoM change (volatility): ≈73%

Notable spikes/dips:

  • A major spike in November 2024 (564.53), followed by an abrupt drop to 35.58 in December and a low in January (17.61), before partially rebounding in February (33.71).

Comparison to the global baseline

  • Baseline average over the same months (Sep 2024, Nov 2024–Feb 2025): 37.70.
  • Relative position: the selection averaged +437% above market (≈5.37x).
  • By month:
  • September 2024: 360.05 vs 32.88 (≈11x above market).
  • November 2024: 564.53 vs 41.58 (≈13.6x above market).
  • December 2024: 35.58 vs 39.63 (≈10% below market).
  • January 2025: 17.61 vs 35.54 (≈50% below market).
  • February 2025: 33.71 vs 38.86 (≈13% below market).
  • Volatility comparison (same months):
  • Selection: ≈73% average absolute MoM change.
  • Baseline: ≈12.7% average absolute MoM change.
  • Baseline highs/lows:
  • Over the broader baseline window, the peak is November 2024 (41.58) with a low in September 2025 (20.63). Within the overlap, the peak is also November (41.58) and the low is September 2024 (32.88).

Seasonality signals

  • The global baseline shows a Q4 lift, peaking in November, then easing into January and stabilizing through February.
  • The selection mirrors the November lift with an outsized spike, then rapidly reverts to below-baseline levels by December–February, indicating sharper-than-average seasonal swings.

Understanding cost per lead benchmarks on Facebook Ads in industry Gaming 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 Gaming 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.