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

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: Public Administration, All countries available

This analysis looks at cost per purchase trends for industry Public Administration 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.

Key takeaways

  • Public Administration sits well above market: the selected average is about 9.34x higher than the global baseline for the same months (October and December 2024).
  • Seasonal lift is visible: both the selected series and the baseline rise into December, consistent with typical Q4 holiday pressure.
  • Volatility is modest in the selected data over the observed window (+1.79% from October to December), while the broader baseline shows higher variability across the year.

Selected series overview (Public Administration, All countries available)

  • Period covered: October 2024 and December 2024.
  • Average cost per purchase: 458.63.
  • High: 462.69 in December 2024.
  • Low: 454.56 in October 2024.
  • Range: 8.13 across the period.
  • Change from first to last month: +8.13 (+1.79%).
  • Volatility: One observed interval from October to December shows a moderate uptick into year-end.

Notable movement:

  • October to December shows a small, steady increase, aligned with typical Q4 demand-driven cost pressure.

Global baseline overview

  • Period covered: October 2024 to September 2025.
  • Average cost per purchase: 47.82.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • Range: 21.60 across the period.
  • Change from first to last month: -30.82% (46.67 in October 2024 to 32.29 in September 2025).
  • Month-to-month volatility: average absolute change of 3.25; largest jump in November to December (+8.34); largest drop in August to September (-13.40).

Seasonality:

  • Q4 lift is evident: December costs move higher versus November.
  • After Q4, costs remain elevated through February before trending down into late summer.

How Public Administration compares to the global baseline

  • Level vs. market:
  • October 2024: 454.56 vs. 46.67 (9.74x above market).
  • December 2024: 462.69 vs. 51.53 (8.98x above market).
  • Across overlapping months, the selected average (458.63) is ~9.34x the baseline average (49.10).
  • Trend alignment:
  • Both series rise into December, indicating in-line seasonal behavior despite different absolute levels.
  • Relative volatility:
  • Selected change from October to December (+1.79%) is contained; the baseline shows heavier month-to-month swings across the full year.

Bottom line

Public Administration in All countries available shows cost per purchase levels that are firmly above market while following the broader seasonal pattern of Q4 increases. Against a global baseline that peaks in Q4–Q1 and declines into late summer, the selected series maintains elevated, relatively stable costs across the observed months. Understanding cost per purchase benchmarks on Facebook Ads in industry Public Administration 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 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.

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