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Facebook Ads Cost Per Purchase Benchmarks for Public Safety

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Cost Per Purchase for Public Safety

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Public Safety brands saw a turbulent year for Facebook Ads cost per purchase, running considerably above the global benchmark for most months but punctuated by a dramatic late‑Q3 trough and a measured Q4 rebound. The category opened the year with very high acquisition costs, then whipsawed through sharp swings before settling lower into December. In contrast, the global all‑industry baseline drifted down gradually with far less volatility. 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 Safety across all countries compared to the global benchmark.

Section 1: The story in the data

Cost per purchase in Public Safety averaged $96.93 across the year, starting at $198.06 in January and ending at $71.43 in December, a 64% decline from start to finish. The annual high came in January ($198.06), while the low arrived in September ($27.65), a range of roughly $170. Month‑to‑month volatility was pronounced, averaging a $40 swing—well above the baseline’s $1.77.

Key movements stood out:

  • January to February fell 65% ($198.06 to $68.51), followed by a 114% rebound in March ($146.39).
  • Mid‑year moderated: May–July tightened to the low $100s ($118.87 → $102.78 → $102.04).
  • August to September plunged 69% ($89.81 to $27.65), the category’s sharpest drop.
  • September to October jumped 167% ($27.65 to $73.84), then eased into November ($56.82) before firming again in December ($71.43).

Overall, H1 (Jan–Jun, excluding April) averaged $126.92, while H2 (Jul–Dec) cooled to $70.27—about 45% lower, indicating a meaningful reset in acquisition costs in the back half.

Section 2: Seasonal and monthly dynamics

Public Safety’s rhythm diverged from typical seasonality. Q1 was unusually elevated and choppy, led by January’s spike, whereas many categories see softer efficiency early in the year and rising competition into Q4. The category steadied from May through August in a narrower $90–$120 band before the September low broke the pattern. Q4 did not escalate as steeply as Q1’s peaks; instead, costs stabilized in the $56–$74 range, suggesting a gentler year‑end than the volatile first half.

By comparison, the global baseline followed a smoother arc: costs peaked modestly in February (~$54.80), hovered in the low $50s through early fall, then eased into November and December (~$47.16 and ~$45.08).

Section 3: Public Safety vs. Global

Against the global all‑industry benchmark (average ~$51.40), Public Safety’s cost per purchase was consistently higher, averaging about 89% above market. The gap was widest in January, when Public Safety ran 272% over the baseline, and narrowest in September, the lone month below market, at 48% under the global level. While the global trend declined steadily by about 15% from January to December, Public Safety’s trajectory was choppier, marked by outsized swings (+114%, −69%, +167%) and a steeper full‑year slide.

Closing

Facebook Ads benchmarks for cost per purchase show that industry ad performance in Public Safety across all countries was high and volatile versus the global norm, with early‑year peaks, a September low, and a modest Q4 rebound. Understanding these cost dynamics—alongside broader CPC trends, CPM analysis, CTR performance, and country‑specific ad costs—helps position Public Safety benchmarks within the wider landscape of global Facebook Ads 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 Safety 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.