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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

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Across 2025, cost per purchase showed a clear downtrend, with a mid-year rebound and a sharp late-year correction that set a new low. The curve started elevated, eased through mid-year, briefly rallied into September, then fell hard in November and December. Volatility was moderate most months, punctuated by a few outsized moves that defined the year’s story.

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 compared to the global benchmark.

The story in the data

Looking at the global benchmark for cost per purchase, the year opened high and ended materially lower. January came in at $53.25 and February set the annual high at $54.80. From there, the metric eased: March ($52.92) and April ($52.34) held near-term stability, with May essentially flat at $52.40. By June, costs slipped to $50.82 and reached the summer low in July at $49.18.

A short-lived rally followed. August jumped to $52.97 and September held firm at $53.22, effectively retesting January levels. October softened to $52.67 before the year’s most dramatic shift: November fell to $47.16 (the largest single-month decline) and December set the annual low at $45.08.

Across the full year, the benchmark averaged $51.40, with eight of twelve months printing above that mean. Peak-to-trough movement ran about $9.72, a 17.8% swing from February’s high to December’s low. Month-over-month volatility averaged 1.77 points, with typical moves under two dollars; the standouts were August’s +$3.79 lift from July and November’s −$5.51 slide from October.

Seasonal and monthly dynamics

The pattern tracked a familiar performance arc: strength early in the year, softness into midsummer, a late-Q3 rally, and a pronounced Q4 decline as competition intensifies and conversion costs typically rise for some objectives while purchase efficiency can diverge. Q1 averaged $53.66, the high-water mark for 2025. Q2 and Q3 were similar at $51.85 and $51.79, respectively—steady but below the early-year peak. Q4 broke from that stability, averaging $48.30, roughly 10% below Q1.

Within that rhythm, two inflection points stand out. First, the July low at $49.18 set the stage for August–September’s rebound back above $53. Second, the October-to-November step-down signaled a decisive regime shift that carried through December’s new low at $45.08.

Country vs. Global

Because this view aggregates all countries, the global benchmark effectively represents the “market” backdrop for Public Administration. While the industry-specific monthly medians across all countries are not provided in this cut, the benchmark trend supplies context: a gentle first-half cooling, a short Q3 recovery, and a sharper Q4 correction. Any gap between Public Administration and the overall market would likely be most visible in late Q4 when the benchmark fell 10% quarter over quarter; absent the industry-only series, that delta isn’t directly measurable here, but the timing of inflections and the magnitude of swings offer a directional frame for country-specific ad costs and industry ad performance.

Closing

In summary, Facebook Ads benchmarks for cost per purchase in 2025 showed a high in February, a brief late-summer rally, and a decisive Q4 decline, averaging $51.40 for the year with 1.77-point monthly volatility. Understanding Facebook Ads cost per purchase benchmarks for the Public Administration industry across all countries helps contextualize CPP trends alongside broader CPM analysis, CPC trends, and CTR performance in the global market.

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.