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Facebook Ads Cost Per Lead Benchmarks for Venture Capital & Investment in Germany

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Cost Per Lead for Venture Capital & Investment in Germany

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per lead benchmarks: Venture Capital & Investment in Germany vs. global

  • This analysis looks at cost per lead trends for industry Venture Capital & Investment 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.
  • No in-market observations were available for the selected filters (industry: Venture Capital & Investment; country: Germany) in the period provided, so the comparison to Germany cannot be quantified. The global baseline is reported for context.
  • Global baseline averaged 36.04 per lead across Oct 2024–Sep 2025, with a high in November (41.58, above market vs. the 12‑month average) and a sharp low in September (20.63, well below average).
  • Seasonality is visible: costs spiked in Q4 (notably November), softened in January, stabilized through late spring/summer, and dropped markedly in September.
  • Volatility: average absolute month-to-month movement was about 4.75 (≈13% of the period average), with the largest swing in September (−44% vs. August).

Scope and context

This report summarizes monthly median cost per lead benchmarks. It focuses on Venture Capital & Investment in Germany vs. a global baseline. Because the selected-data time series is empty, only the global baseline is analyzed, serving as a directional reference point.

Global baseline overview (Oct 2024–Sep 2025)

  • Average: 36.04
  • High: 41.58 in November 2024 (+15% vs. the 12‑month average; above market for the period)
  • Low: 20.63 in September 2025 (−43% vs. the 12‑month average; below average)
  • First-to-last change: 31.12 in October 2024 to 20.63 in September 2025, a −33.7% overall decrease
  • Volatility:
  • Average absolute month-to-month change: 4.75 (≈13% of the average)
  • Notable moves:
  • October to November: +33.6% spike
  • December held elevated vs. October (+27%)
  • January dip: −10.3% vs. December
  • February rebound: +9.4% vs. January
  • Summer plateau: May–July hovered 38.35–38.67 (tight range, in line with overall trends)
  • September drop: −44.3% vs. August, the sharpest monthly decline in the series

Seasonal patterns

  • Q4 (holiday period) increases are evident, with the peak in November and still-elevated December relative to October.
  • Q1 softening appears in January, followed by a February bounce.
  • Late spring and summer show relatively steady costs close to the period average.
  • A pronounced dip occurs in September, pushing costs well below average.

Comparison to selected data (Venture Capital & Investment, Germany)

  • No selected-data points were available for this period, so relative positioning versus the global baseline (above market, below average, or in line with overall trends) cannot be assessed for Germany.
  • The global baseline (average 36.04; high 41.58 in November; low 20.63 in September) provides a directional frame until Germany-specific data are available.

Understanding cost per lead benchmarks on Facebook Ads in industry Venture Capital & Investment 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 Venture Capital & Investment 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.