Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Safety in Argentina

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

Cost Per Purchase for Public Safety in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Public Safety and target country Argentina compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No monthly data points were available for Public Safety in Argentina during the period, so we cannot compute local averages or volatility; positioning relative to the market (above, below, or in line) cannot be determined.
  • The global baseline shows a clear seasonal run-up from December through February, then a steady cool-off, with a pronounced dip in September.
  • Overall baseline volatility was moderate most of the year, with a sharp single-month drop at the end of the series.

Dataset coverage

  • Metric: cost per purchase
  • Industry: Public Safety
  • Country: Argentina
  • Selected data: no observations provided for the selected segment
  • Baseline: global monthly medians from 2024-10 to 2025-09

Selected segment (Public Safety, Argentina)

  • Data availability: The selected_data series is empty for the period. As a result, highlights such as average, high/low, or month-over-month change cannot be calculated for Public Safety in Argentina.
  • Interpretation: With no local observations, we cannot classify Argentina’s Public Safety cost per purchase as above market, below average, or in line with overall trends.

Global baseline overview

  • Average across the period: 47.82
  • High: 53.89 in 2025-02
  • Low: 32.29 in 2025-09
  • Change from first to last month: down 30.8% (from 46.67 in 2024-10 to 32.29 in 2025-09)
  • Volatility:
  • Average absolute month-to-month change: 3.25
  • Average absolute month-to-month percent change: 7.0%
  • Notable spikes and dips:
  • Largest monthly rise: +19.3% from November to December (43.19 to 51.53), kicking off a seasonal climb.
  • Multi-month peak: December through February, peaking at 53.89 in February.
  • Largest monthly drop: −29.4% from August to September (45.69 to 32.29), the lowest point in the series.

Seasonal patterns in the baseline

  • Costs typically increase in December and remain elevated into early Q1 (December–February), aligning with holiday and post-holiday demand.
  • From March through August, costs trend gradually lower, followed by a sharp September correction in this dataset.

Comparison: selected segment vs. global baseline

  • Positioning: Unable to assess for Public Safety in Argentina due to no available observations in the selected period.
  • Context from the baseline: If Argentina’s Public Safety data were to follow global seasonality, one would expect higher cost per purchase around December–February and softer costs heading into late Q3; however, without local data, no direct comparison can be made.

Understanding cost per purchase benchmarks on Facebook Ads in industry Public Safety and Argentina 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. For campaigns targeting Argentina, advertisers should consider local market factors and user behavior. 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.

Argentina Advertising Landscape

National Holidays

Jan 1New Year's Day
Mar 3‑4Carnival
Mar 24Truth & Justice Memorial
Apr 2Malvinas Day
Apr 18Good Friday
May 1Labour Day
May 25May Revolution Day
Jun 16Martín Miguel de Güemes Day
Jun 20Flag Day
Jul 9Independence Day
Aug 18San Martín Memorial Day
Oct 13Cultural Diversity Day
Nov 24National Sovereignty Day
Dec 8Immaculate Conception
Dec 25Christmas

Key Shopping Season

December (Christmas period)

Potential Advertising Impact

CPM might rise significantly during Carnival, Independence Day, and Christmas season. Retail and entertainment campaigns could require increased budgets.

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.