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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

August 2025 - August 2026

Insights

Detailed observation of presented data

Introduction

Public Administration cost-per-purchase moved from a steady mid‑$40s baseline into a volatile year with a sharp late‑summer collapse. 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

The series opens in July 2025 at $49.18 and closes a year later in July 2026 at $19.69 — a near 60% decline from start to finish. Across the 13‑month window the median Cost Per Purchase averaged about $47.6, with a high of roughly $56.0 in March 2026 and a low of $19.7 in July 2026. The range between peak and trough is about $36.3, equal to roughly 76% of the mean, signaling a large absolute swing.

Month‑to‑month movement shows intermittent lift and decline. Early momentum carried the metric from $49.2 in July to just over $53 in September, then a pronounced dip into November ($46.4). A rebound into Q1 culminated in the year’s high in March ($56.0, about +11% versus February). After March the trend tilted down: April fell ~11% from March, and the series stepped down through May and June before the extreme drop of ~54% from June ($43.0) to July ($19.7). Volatility, measured as the average absolute monthly swing, ran about $4.8 — roughly a 10% move relative to the mean — with the single largest month change being the June→July collapse.

Seasonal and monthly dynamics

Seasonal rhythm shows a softening in late Q4 (October→November dip) followed by a Q1 lift peaking in March, consistent with budget timing and campaign cadence seen in other verticals. The spring months then exhibited a stepwise decline into summer, but this year’s summer closed with an outsized trough in July. The pattern reads as Q4 softness, a Q1 rebound, and then pronounced summer weakness, with an exceptional abrupt drop at the end of the observed period.

Country vs. Global

Because the selected Public Administration series here is reported for All countries available and the provided baseline is the global benchmark, the two series align for this narrative. Relative to the global baseline characteristics typically cited in broader Facebook Ads benchmarks, this Public Administration dataset shows larger-than-average late‑series downside and higher absolute swings. In percentage terms, the series swung nearly ±60% peak‑to‑trough and exhibited monthly swings averaging about 10% of the mean — indicating more volatile industry ad costs than some cross‑industry CPC trends or CPM analysis might suggest. References to CTR performance and country‑specific ad costs appear in adjacent datasets, but here the Cost Per Purchase story for Public Administration is dominated by the March spike and the July collapse.

Understanding Cost Per Purchase benchmarks for Public Administration in All countries available supports clearer comparisons to Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, and broader industry ad performance.

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.