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Facebook Ads Cost Per Lead Benchmarks for Consulting in Germany

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

Cost Per Lead for Consulting 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 Consulting and target country Germany compared to the global trend.
  • Overall, Germany’s Consulting cost per lead (CPL) averaged 104.45, about 2.8x above the global baseline average of 37.06 for the same months.
  • The series is highly volatile: average month-to-month absolute change of ~118% versus ~9.8% for the baseline.
  • Strong Q4 elevation: Oct–Dec averaged 235.6 in Germany (6.3x above the global Q4 average of 37.4). H1 2025 reversed sharply, averaging 18.36, which is ~51% below the global H1 average (37.3).
  • First-to-last month dropped 98.3% in Germany (Sep 2024 to Aug 2025), while the baseline rose 12.6%.

Germany, Consulting: what the selected time series shows

  • Average: 104.45 across Sep 2024–Aug 2025.
  • Highs and lows:
  • Peak: 377.04 in Sep 2024; another spike at 337.62 in Oct and 291.23 in Dec.
  • Low: 6.43 in Aug 2025; similarly low in Jun (7.87) and Apr (8.97).
  • Notable movements:
  • Sharp drop Oct→Nov (−76.9%), followed by a surge in Dec (+273.6% vs Nov).
  • Sustained decline through H1 2025, with a brief spike in Jul (53.06) and a fresh low in Aug (6.43).
  • Trend: From extreme Q4 2024 highs to unusually low CPL from Feb–Jun 2025, indicating exceptional volatility through the period.

Comparison to the global baseline

  • Level: Germany’s Consulting CPL averaged 2.8x above market overall.
  • Q4 2024 in Germany: 235.6 vs global 37.4 (6.3x above).
  • H1 2025 in Germany: 18.36 vs global 37.3 (~51% below).
  • Highs/lows relative to market:
  • Above market in Sep, Oct, Nov, Dec, Jan, and Jul (e.g., Sep: 377.04 vs 32.88; Jul: 53.06 vs 38.67).
  • Below market in Feb, Mar, Apr, May, Jun, and Aug (e.g., Apr: 8.97 vs 38.59; Aug: 6.43 vs 37.03).
  • Volatility: Germany’s month-to-month variability (~118% absolute MoM change) far exceeds the global baseline (~9.8%), highlighting an unstable CPL environment relative to broader trends.

Seasonal patterns and stability

  • Global seasonality shows typical Q4 elevation (Nov–Dec highest globally).
  • Germany’s Consulting CPL accentuates this pattern with extreme Q4 highs, then shifts to sub-baseline levels across most of H1 2025.
  • The period ends below market and at its lowest point (Aug), emphasizing the steep year-over-year deceleration in CPL.

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