Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Administration

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Public Administration

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all countries, Facebook Ads cost per purchase showed a clear two-act story over the last 13 months: an early-year lift to a February peak, a measured cool-down through summer, and then a sharp late‑year reset. The global benchmark climbed from $42.73 in November 2024 to a high of $53.81 in February 2025, averaged $48.06 for the period, and ultimately fell to a low of $30.61 in November 2025. Volatility was moderate most of the year but spiked into Q4. 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 across all countries compared to the global benchmark. The industry-level time series for the selected segment is not available for this window, so the global curve serves as directional context.

Section 1: The story in the data

The period opens at $42.73 (Nov ’24) and surges into December (+17% month over month) before extending gains through January and peaking in February at $53.81. From March to May, cost per purchase holds in a tight band around $51–$52, then eases to $48.23 in June and $46.88 in July. A late‑summer rebound lifts August to $50.41, and September holds close at $49.50. Momentum weakens in October ($45.51), then compresses sharply in November to $30.61 — the steepest single-month movement of the period (−33% vs. October).

Across the 13 months, the benchmark averaged $48.06, with nine of those months printing above the mean — a sign that the late‑year drop pulled the average down. The range between the $53.81 peak and the $30.61 trough spans $23.20, a 43% gap relative to the high. Average month‑to‑month movement measured 3.45 points, with outsized swings concentrated in November and, to a lesser extent, December (+7.17) and October (−3.99). Year over year, November fell from $42.73 to $30.61, a 28% decline.

Section 2: Seasonal and monthly dynamics

Seasonality reads as elevated Q1 performance followed by a gradual mid‑year softening. Q1 2025 averaged $52.80, the strongest quarter, reflecting higher purchase costs that often accompany crowded auctions. Q2 tilted lower to $50.27, then Q3 drifted down to $48.93 with a brief August pulse. Q4 typically tightens as competition rises, but this cycle diverged: October moderated and November broke sharply lower to the cycle’s bottom, creating an atypical late‑year trough in cost per purchase.

Section 3: Country vs. Global

Because the selected segment is Public Administration across all countries and the industry‑specific series is unavailable for this period, direct comparisons to the global all‑industry benchmark cannot be quantified. The global line itself trended from a February high to a softer summer, then a pronounced November reset. From the Q1 average ($52.80) to the Q3 average ($48.93), the global benchmark eased by about 7%, and November stood 28% below the prior year’s level — indicating a broader market deflation in cost per purchase by late 2025.

Closing

Taken together, these Facebook Ads benchmarks show how cost per purchase evolved across all countries, offering directional context for Public Administration industry ad performance. Understanding Facebook Ads cost‑per‑purchase benchmarks for the Public Administration industry across all countries helps teams interpret country‑specific ad costs within broader CPC trends, CPM analysis, and CTR performance patterns relative to global market movements.

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 Administration 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's a healthy cost per purchase for ecommerce brands?

It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.

How does product price impact CPA benchmarks?

Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.

Why are my purchase costs going up despite stable ROAS?

Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.

Should I use manual bidding to control CPA more effectively?

Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.