Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Public Safety

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

Cost Per Lead for Public Safety

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Public Safety cost-per-lead is well above market: the February–August 2025 average is 145.86, about 3.9x the global baseline (37.71) over the same months.
  • Volatility is high in the selected data: average month-to-month swing is 162.02 vs just 2.68 in the baseline.
  • The series peaks in July 2025 (282.45) and bottoms in August 2025 (33.95), a 248.49 range. From the first to last observed month, cost-per-lead falls 63%.
  • The global baseline shows a Q4 uptick (November–December 2024), while the selected period (Feb–Aug 2025) exhibits mid-year spikes and a sharp late-summer correction.

Scope and context

This analysis looks at cost-per-lead trends for industry Public Safety and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Public Safety cost-per-lead: February–August 2025

  • Average: 145.86
  • High: 282.45 (July 2025)
  • Low: 33.95 (August 2025)
  • Range: 248.49
  • First-to-last change: from 91.84 (February) to 33.95 (August), down 63%.

Notable movements:

  • February to March jumps 148.6% (91.84 → 228.24).
  • March to May drops 81.3% (228.24 → 42.74; April not observed).
  • May to June surges 358.3% (42.74 → 195.92), followed by a further rise into July (+44.2%).
  • July to August reverses sharply, down 88.0% (282.45 → 33.95).

These swings translate to an average month-to-month absolute change of 162.02, indicating pronounced volatility across mid-year.

Comparison with the global baseline (February–August 2025)

  • Baseline average: 37.71 (selected data is ~3.9x higher; ≈ +287%).
  • Baseline high/low: 39.63 (May 2025) / 32.84 (March 2025).
  • Baseline first-to-last change: 38.86 (February) to 37.03 (August), down 4.7%.
  • Baseline average month-to-month absolute change: 2.68.

Positioning:

  • The selected series is consistently above market in most observed months. Even at its trough in August (33.95), Public Safety sits just below the global average (37.71) and within the baseline range.
  • Relative to a steady global backdrop, the Public Safety series is markedly more volatile, with outsized spikes (March, June–July) and a steep correction in August.

Seasonality and timing

  • Baseline seasonality shows higher costs in Q4 (November 41.58; December 39.63) relative to October (31.12), consistent with holiday-period pressure.
  • Within the selected period, mid-year dynamics dominate: elevated costs in June–July, followed by a late-summer pullback in August.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Public Safety and All countries available 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 Public Safety industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.