Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Safety in Colombia

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

Cost Per Purchase for Public Safety in Colombia

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 Colombia compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No eligible monthly observations were available for Public Safety in Colombia during the period, so direct “above/below market” comparisons cannot be computed.
  • The global baseline shows a Q4 uplift into December, a high plateau through Q1, softening in early summer, and a sharp drop in September.
  • Baseline volatility is moderate overall, with one notable spike in December and a steep decline in September.

Scope and data coverage

  • Metric analyzed: cost per purchase.
  • Selection: Industry = Public Safety; Country = Colombia.
  • Selected dataset availability: no monthly median values present for the period.
  • Baseline: global monthly medians from October 2024 through September 2025.

Selected dataset (Public Safety, Colombia)

  • Data availability: No monthly data points recorded in the selected dataset.
  • As a result, averages, highs/lows, percentage change, and month‑to‑month volatility cannot be computed for the selected segment.
  • Interpretation: With no observations for Public Safety in Colombia, the global baseline serves as the only directional benchmark in this window.

Global baseline benchmarks

  • Average monthly level: 47.82 across the 12 months observed.
  • High and low:
  • Peak: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • First-to-last change: down 30.8% from October 2024 (46.67) to September 2025 (32.29).
  • Month-to-month volatility:
  • Average absolute change: 3.25 points per month (~6.8% of the overall average).
  • Largest monthly increase: +19.3% from November to December (43.19 to 51.53).
  • Largest monthly drop: −29.3% from August to September (45.69 to 32.29).
  • Seasonal patterns:
  • Q4 trend: softening in November followed by an uptick in December.
  • Q1 plateau: elevated costs carry into January–February–March (Q1 average ≈ 52.94).
  • Early summer easing: June–August average ≈ 46.29, about 12.6% lower than Q1.
  • Sharp September dip: the lowest point of the year.

Comparison: Colombia (Public Safety) vs. global baseline

  • Relative position: Not measurable due to the absence of selected data for Colombia.
  • Directional context: If data becomes available, comparisons should reference:
  • Baseline average: 47.82.
  • Elevated period: December through March (peak in February).
  • Softer period: June–August, with a pronounced low in September.

What marketers should note about seasonality

  • Costs typically lift toward late Q4 (December) and remain elevated into Q1 before easing into summer, with a notable baseline dip in September during this cycle.

Understanding cost per purchase benchmarks on Facebook Ads in industry Public Safety and Colombia 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 Colombia, 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.

Colombia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Mar 24Saint Joseph's Day
Apr 17Maundy Thursday
Apr 18Good Friday
May 1Labour Day
Jun 2Ascension Day
Jun 23Corpus Christi
Jun 30Sacred Heart of Jesus
Jul 20Independence Day
Aug 7Battle of Boyacá
Aug 18Assumption of Mary
Oct 13Columbus Day
Nov 3All Saints' Day
Nov 17Independence of Cartagena
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas), Mid‑year promotions around Independence Day (Jul 20) and Children's Day (Oct 13)

Potential Advertising Impact

CPM and CPC might increase during long weekends and holidays like Independence Day due to heightened leisure media consumption. Major e‑commerce events could result in sharp spikes in retail competition. June holidays could disrupt typical ad pacing. Many holidays shifted to Mondays make weekend campaigns perform 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.