Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Public Administration

Compare lead generation cost benchmarks by industry, region, and campaign type.

Cost Per Lead for Public Administration

October 2025 - September 2026

Insights

Benchmark observations based on the selected data

Introduction

Public Administration cost-per-lead (CPL) in the period observed was materially higher and far more volatile than the global benchmark. The story is one of repeated spikes and sharp reversals: a mid-year baseline around $80–$100 gives way to deep dips near $45, then explosive jumps into the hundreds and a dramatic $1,038 peak in June 2026. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Public Administration in All countries available compared to the global benchmark.

The story in the data

CPL for Public Administration began at $82.10 in July 2025 and closed at $1,038.42 in June 2026 — an increase of roughly 1,165% from start to finish driven by an extreme June outlier. Across the 12 months the mean CPL was about $165, while the median was roughly $88, highlighting a heavy right skew from the late-period spikes. The lowest monthly CPL was $45.53 (September 2025), and the second-lowest was $47.42 (March 2026). Outside those troughs, notable highs were December 2025 ($104.06), January 2026 ($105.97), May 2026 ($180.47), and the June 2026 peak.

Month-to-month moves were pronounced: average absolute month-over-month change was about 89%, with individual swings ranging from a modest ~1.8% (Dec→Jan) to a +475% leap (May→Jun). In raw terms the series alternated between declines (Aug→Sep −54%) and rebounds (Sep→Oct +40%), then larger lifts late in the cycle (Apr→May +150%).

Seasonal and monthly dynamics

A loose seasonal rhythm appears: late summer and early autumn (Aug→Oct) saw rapid retracement after an early high, producing the September trough. Winter months (Dec→Jan) showed elevated CPLs near $104–$106 before a spring softening back to $47 in March. A strong rebound began in April and accelerated through May and June, producing the period’s most pronounced volatility. These swings contrast with what typical CPM analysis or CPC trends often show in less volatile industries — here the magnitude and timing of spikes dominate the cadence.

Country vs. Global

Compared to the global baseline, Public Administration CPLs were generally above market. The global benchmark averaged about $46 over the same months (range $37–$53). Public Administration’s mean (~$165) was roughly 3.6× the global average; its median (~$88) was roughly 90% higher. Only two months — September and March — recorded CPLs slightly below the global benchmark (about 5–6% lower). For most months the gap was large: December and January were ~100–130% above baseline, May was ~300% above, and June exploded to ~2,700% above baseline. Volatility comparison is stark: Public Administration’s ~89% average monthly swing vs. the global ~7.8% monthly swing indicates this sector was far more volatile than typical country-specific ad costs reported in broader Facebook Ads benchmarks, and it stands apart from usual CTR performance or CPC trends patterns.

Closing

Understanding Cost Per Lead benchmarks for Public Administration across All countries available helps frame how industry ad performance can diverge from global CPL norms and illustrates extreme variability in country-specific ad costs and Facebook Ads benchmarks over a single 12‑month cycle.

About this data

Facebook advertising cost benchmarks

Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Public Administration industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.

Factors that affect 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.)

The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.

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The data behind the benchmarks

The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.

The dataset updates as new ad data is available.

What is considered a good cost per lead on Facebook in 2026?

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?

Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.

How can I generate leads at a lower cost without hurting lead quality?

Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.

Should I optimize for leads or conversions if my goal is pipeline growth?

For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.