Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Safety

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Public Safety

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, Public Safety (All countries available) shows cost per purchase levels well above the global trend and markedly more volatile.
  • Across the observed window (Feb–May 2025), the Public Safety median cost per purchase averaged 116.17, compared with 52.26 for the global baseline in the same months (+122% above market).
  • The selected series swung sharply month to month (+64% in March, −59% in April, +182% in May), while the global baseline moved slightly downward each month (about −2% to −2.5% changes).
  • Seasonal patterns in the global data indicate higher costs around Q4 and early Q1, then easing into late spring and summer; the selected Public Safety series did not follow that gentle decline and instead spiked sharply in May.

What this report covers

This analysis looks at cost per purchase trends for industry Public Safety and target country All countries available compared to the global trend. Results are based on median monthly values.

Public Safety (All countries available): in-series highlights

  • Average (Feb–May 2025): 116.17
  • Median: 117.76
  • High: 169.19 (May 2025)
  • Low: 59.97 (April 2025)
  • Range: 109.22 across the period
  • Volatility (average absolute month-to-month change): ~102%
  • Feb → Mar: +64%
  • Mar → Apr: −59%
  • Apr → May: +182%
  • Change from first to last month: +90% (Feb 89.14 → May 169.19)
  • Notable movements:
  • March surge to 146.39 after February’s 89.14
  • April dip to 59.97
  • May spike to a new high of 169.19

Comparison to the global baseline

Overlapping months (Feb–May 2025):

  • Global baseline average: 52.26; high 53.89 (Feb); low 50.97 (May)
  • Month-to-month moves were modest: −2.4% (Feb→Mar), −2.0% (Mar→Apr), −1.2% (Apr→May), resulting in a −5.4% decline from February to May.

Relative positioning by month:

  • February: 89.14 vs 53.89 → +65% above baseline
  • March: 146.39 vs 52.61 → +178% above baseline
  • April: 59.97 vs 51.57 → +16% above baseline
  • May: 169.19 vs 50.97 → +232% above baseline

Overall positioning:

  • Average level: +122% above the global baseline over Feb–May.
  • Volatility: far higher than the global series, which remained relatively steady.
  • Against the broader global year: the global baseline over Oct 2024–Sep 2025 averaged 47.82 (high 53.89 in Feb; low 32.29 in Sep), reinforcing that the Public Safety selected data sat substantially above typical global levels.

Seasonal context

  • Global trend: costs typically rise into Q4 and early Q1 (Oct 46.67 → Dec 51.53 → Jan 52.31 → Feb 53.89), then gradually ease into spring and summer (May 50.97, falling further through September 32.29).
  • Public Safety (All countries available) diverged from that smooth easing, dropping in April but spiking to a period high in May.

Understanding cost per purchase benchmarks on Facebook Ads in industry Public Safety and All countries available helps advertisers make more efficient budget and creative choices.

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.