Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Textiles in Colombia

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

Cost Per Purchase for Textiles in Colombia

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: Textiles in Colombia vs global

This analysis looks at cost per purchase trends for the Textiles industry in Colombia compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall level: Colombia’s Textiles cost per purchase averaged 56.62 over the period, about 13.5% above the global baseline (49.88) on overlapping months.
  • Volatility: The selected time series is highly volatile, with an average absolute month-to-month change of 39.0% versus just 5.8% for the global baseline.
  • Seasonality: A pronounced Q4 spike appears in November and remains elevated in December, then eases in January. Costs trend down sharply into late spring and mid-year. The global series shows a modest lift around December–February.
  • Direction of travel: From the first observed month (October 2024) to the last (July 2025), Colombia’s Textiles cost per purchase fell 66.0%, while the global baseline was essentially flat (-1.0%).
  • Relative position: Above market in 6 of 9 months, especially in November–December; below market in May and July.

Selected dataset (Textiles, Colombia): key stats and month-to-month movement

  • Average: 56.62 across 9 months
  • High: 99.79 in November 2024
  • Low: 16.95 in July 2025
  • Range: 82.84 (from 16.95 to 99.79)
  • First-to-last change: -66.0% (Oct 2024 to Jul 2025)
  • Volatility (avg absolute MoM change): 39.0%

Notable movements:

  • Sharp surge in November 2024 (+100.6% vs October), staying elevated in December (-17.5% from November but still well above October).
  • Significant corrections: December to January (-43.7%), April to May (-55.7%), and May to July (-38.7%).
  • Intermediate rebuilds: January to March (+18.2%, then +27.0%), then a mild pullback in April (-10.3%).

Global baseline: key stats on the overlapping months

  • Average: 49.88
  • High: 53.89 in February 2025
  • Low: 43.19 in November 2024
  • First-to-last change: -1.0% (Oct 2024 to Jul 2025)
  • Volatility (avg absolute MoM change): 5.8%

The baseline shows a relatively stable profile with a gentle uptick across December–February and mild softening into May–July.

Colombia vs global: relative positioning by month

  • Above market: Oct (+6.6%), Nov (+131%), Dec (+59.7%), Feb (+1.7%), Mar (+32.3%), Apr (+21.1%)
  • Below market: Jan (-11.5%), May (-45.7%), Jul (-63.3%)

This indicates Colombia’s Textiles costs were substantially above global levels during peak Q4 and early spring, but materially below in late spring and mid-year.

Seasonal patterns and timing

  • Clear Q4 spike: Costs peak in November and remain elevated in December—consistent with higher demand and competitive pressure around holiday periods.
  • Early-year normalization: January eases markedly from December highs.
  • Late spring/mid-year softness: May and July show notable dips, diverging from the relatively steady global trend.

Understanding cost per purchase benchmarks on Facebook Ads in industry Textiles 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 Textiles 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.