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October 2025 - September 2026
Benchmark observations based on the selected data
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 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 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.
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.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Public Administration industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
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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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and requires more effort.
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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