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Facebook Ads Cost Per Purchase Benchmarks for Healthcare in Colombia

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Cost Per Purchase for Healthcare in Colombia

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Across overlapping months, Healthcare in Colombia ran slightly above market on Facebook Ads cost-per-purchase: average COP-equivalent cost was about 2.7% higher than the global baseline (48.90 vs 47.60).
  • The selected series showed very high volatility (average absolute month-over-month change ~47.8%) versus the baseline’s steadier ~7.0%.
  • Highs and lows were extreme: a peak in October 2024 (95.23) and near‑zero readings in July–August 2025 (0.13 and 0.11), driving a -99.9% change from first to last observed month.
  • Seasonality differed from the market: while the global baseline typically tightened into December–February, Colombia’s Healthcare costs softened through Q4 2024, rebounded in January, then collapsed mid‑year.

Scope and context

This analysis looks at cost-per-purchase trends for industry Healthcare 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.

Selected data overview: Healthcare in Colombia

  • Average across available months: 48.90.
  • High: 95.23 (Oct 2024).
  • Low: 0.11 (Aug 2025).
  • First-to-last change: -99.9% (Oct 2024 to Aug 2025).
  • Month-to-month movements:
  • Oct → Nov 2024: -30.4% (95.23 to 66.30).
  • Nov → Dec 2024: -26.0% (66.30 to 49.04).
  • Dec 2024 → Jan 2025: +68.4% (49.04 to 82.56).
  • Jan → Jul 2025: -99.8% (82.56 to 0.13).
  • Jul → Aug 2025: -14.2% (0.13 to 0.11).
  • Volatility: very high, with sharp declines in late Q4 offset by a January spike, then near‑zero mid‑year values.

Global baseline overview

  • Average (Oct 2024–Sep 2025): 47.82.
  • High: 53.89 (Feb 2025).
  • Low: 32.29 (Sep 2025).
  • First-to-last change: -30.8%.
  • Seasonality: November dips modestly, December and Q1 generally firm (Dec 51.53, Jan 52.31, Feb 53.89), easing into late Q2–Q3.

Head-to-head comparison

  • Overlapping-month average: Colombia Healthcare 48.90 vs baseline 47.60 (+2.7% above market overall).
  • Relative positioning by month:
  • Oct 2024: +104% above baseline (95.23 vs 46.67).
  • Nov 2024: +54% above (66.30 vs 43.19).
  • Dec 2024: roughly in line to slightly below (-4.8%; 49.04 vs 51.53).
  • Jan 2025: +58% above (82.56 vs 52.31).
  • Jul–Aug 2025: far below baseline due to near‑zero values (-99.7% and -99.8%).
  • Volatility comparison: Colombia Healthcare (~47.8% average absolute MoM change) vs baseline (~7.0%), indicating markedly more fluctuation in the selected series.
  • Range: Colombia’s range was wide (95.23 to 0.11), while the baseline stayed tighter in the same months (52.31 to 43.19).

Seasonal signals

  • Baseline: costs typically increase around December–February.
  • Colombia Healthcare: costs eased through Q4 2024, rebounded sharply in January 2025, then dropped to near-zero by mid‑year, diverging from overall market seasonality.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Healthcare 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 Healthcare industry, Facebook ad costs can be higher than average due to specialized audience targeting and compliance requirements. 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.