Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Consumer Goods in Colombia

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

Cost Per Purchase for Consumer Goods in Colombia

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Consumer Goods in Colombia vs. global

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

Key takeaways

  • Overall level: Colombia’s Consumer Goods cost-per-purchase averaged 57.2, about 15–16% above the global baseline average of 49.5 across the same months—driven primarily by a sharp July spike.
  • Seasonal pattern: Costs climbed through Q4 (Oct–Dec) and then eased in January, consistent with holiday inflation and early-year normalization.
  • Volatility: Colombia showed high month-to-month volatility (average absolute change ~103%) versus a steadier global trend (~5%).
  • Positioning vs. market: Below global across most months in Q4–Q1, roughly in line in May, well above market in April and especially July.

Colombia Consumer Goods cost-per-purchase summary

  • Period covered: Oct 2024–Aug 2025 (10 monthly medians).
  • Average: 57.2.
  • High: 303.9 in Jul 2025.
  • Low: 17.7 in Oct 2024.
  • Trend from first to last month: up 83.6% (17.7 in Oct 2024 to 32.5 in Aug 2025).
  • Seasonal notes:
  • Q4 buildup: 17.7 (Oct) → 20.5 (Nov) → 24.6 (Dec), a cumulative ~39% rise through the holiday period.
  • Post-holiday dip: down 27% from Dec to Jan (to 17.9), followed by mixed movements into March.
  • Spring lift: April jumped to 62.4 (+217% vs. March), remained elevated in May (50.4).
  • Mid-summer spike: July surged to 303.9, then fell sharply to 32.5 in August (-89% vs. July).
  • Month-to-month volatility: average absolute change ~103%, reflecting abrupt spikes (notably April and July) and rapid corrections.

Global baseline comparison (same months)

  • Average: 49.5.
  • High and low: 53.9 in Feb 2025 (high); 43.2 in Nov 2024 (low).
  • Trend from first to last month: down 2.1% (46.7 in Oct 2024 to 45.7 in Aug 2025).
  • Volatility: average absolute month-to-month change ~5%, indicating consistent, gradual movements.
  • Seasonal notes: Gradual Q4 rise (Oct → Dec up ~10%) and relatively stable levels into Q1–Q2.

Relative positioning and timing

  • Below market in Q4–Q1: Colombia’s values were 50–66% below global in Oct–Mar, implying efficient purchase costs during peak season compared to the global benchmark.
  • Spring alignment: May was essentially in line with the global median (~1% below).
  • Above market spikes: April was ~21% above global; July was unusually high at ~557% above the global median, before returning closer to typical levels in August (still ~29% below global).

What marketers can infer from the pattern

  • Colombia mirrored the typical holiday run-up seen in Facebook Ads benchmarks, followed by a January correction.
  • The period is marked by outsized volatility concentrated in April and July, while the global series remained steady and slightly down over time.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Consumer Goods 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 Consumer Goods 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.