See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Global cost per purchase for Public Administration followed a clear arc over the past 12 months: a sharp rise into late winter, a gradual cool-down through mid‑year, a brief late‑summer lift, and a pronounced retreat by October. The year’s high came early; the low points clustered at the bookends. Volatility was moderate, with a handful of standout swings that defined the rhythm. 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 series opens at $42.70 in November, surges to a peak of $53.80 in February (+26% from November), and closes at $43.29 in October—nearly flat versus the starting point (+1%). Across the period, cost per purchase averaged about $49.28, with a range of $11.10 from the $42.70 low (November) to the $53.80 high (February). Seven of the twelve months sat above the average (December through May plus August), while five months undershot it (June, July, September, October, November).
Month‑to‑month volatility averaged roughly $2.53, about a 5% swing relative to the mean. The most dramatic jump occurred from November to December (+$7.41), setting up the winter peak. The steepest single‑month pullback landed in October (−$5.38 vs. September), marking the year’s second‑lowest point after November. From the February high, costs eased into mid‑year (−12% by July), then briefly rebounded in August (+$3.09, +7% month‑over‑month) before giving way to a steady decline through early Q4.
Seasonality is unmistakable. Q1 carried the highest acquisition costs, averaging roughly $52.77 (January–March), consistent with push‑heavy winter demand that often elevates Facebook Ads benchmarks for purchase‑based outcomes. Q2 moderated to about $50.29 as the market cooled, and Q3 softened further to around $48.71, even with an August pop. Early Q4 reversed the late‑summer lift: October fell to $43.29, down 14% from August and 19% below February’s peak.
This cadence—winter strength, mid‑year easing, late‑summer bounce, and October reset—frames the year’s momentum more than any single spike or dip. Even with CPM analysis and CPC trends fluctuating beneath the surface, the endpoint suggests a return toward the lower band of the range.
With the country set to all available markets, this Public Administration view represents the global curve for cost per purchase. The benchmark itself rose into February (+26% from November), then slid 20% by October, ending near its initial level. Range pressure was moderate (about 23% of the mean), and monthly variability clustered around $2.50 either direction. In other words, at the all‑country aggregate, Public Administration’s CPP defines the global reference rather than deviating from it.
Understanding Facebook Ads cost per purchase benchmarks for the Public Administration industry across all countries helps teams gauge acquisition cost rhythms, track CPP trends against seasonal patterns, and contextualize country‑specific ad costs within the global baseline. This CPP view complements broader Facebook Ads benchmarks, alongside CTR performance and CPM analysis, to map how Public Administration purchase costs evolve globally over the year.
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.
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.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app