Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Textiles in Argentina

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

Cost Per Purchase for Textiles in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Textiles in Argentina vs global

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • This analysis looks at cost-per-purchase trends for industry Textiles and target country Argentina compared to the global trend.
  • Across Oct–Dec 2024, Textiles in Argentina sits well above market: average cost per purchase is roughly 60% higher than the global baseline.
  • Volatility is elevated in Argentina: average month-to-month swings are about 6.5x the global movement, with a pronounced November spike followed by a December correction.
  • Seasonal Q4 patterns are visible globally (rising into December); Argentina peaks earlier in November before easing.

Dataset and scope

  • Metric: cost per purchase (median by month)
  • Selected segment: Textiles, Argentina (Oct–Dec 2024)
  • Baseline: Global, all industries/countries (Oct 2024–Sep 2025; overlap Oct–Dec 2024 used for direct comparison)

Selected data: Textiles, Argentina (Oct–Dec 2024)

  • Average: 75.34
  • High: 101.12 in Nov 2024
  • Low: 58.94 in Dec 2024
  • First-to-last change: -10.6% (Oct 65.96 to Dec 58.94)
  • Month-to-month:
  • Oct → Nov: +53.4% (65.96 to 101.12)
  • Nov → Dec: -41.7% (101.12 to 58.94)
  • Volatility: average absolute monthly change 38.67 (~51% of the average), indicating a wide spread (range: 42.17).

Notable dynamics:

  • Sharp spike in November to the quarterly high.
  • Strong correction in December, though costs remain above October.

Baseline comparison (global, Oct–Dec 2024)

  • Baseline average: 47.13
  • Baseline high/low: 51.53 (Dec), 43.19 (Nov)
  • First-to-last change: +10.4% (Oct 46.67 to Dec 51.53)
  • Month-to-month:
  • Oct → Nov: -7.4%
  • Nov → Dec: +19.3%
  • Volatility: average absolute monthly change 5.91 (~12.5% of the average).

Relative positioning (Argentina vs global):

  • Average: Argentina is ~60% above global (75.34 vs 47.13).
  • Highs: Argentina’s peak is ~96% higher (101.12 vs 51.53).
  • Lows: Argentina’s trough is ~36% higher (58.94 vs 43.19).
  • Each month sits above global levels, widest gap in November:
  • Oct: +41%
  • Nov: +134%
  • Dec: +14%

Seasonal patterns and volatility

  • Global data shows a typical Q4 lift culminating in December.
  • Argentina’s Textiles segment peaks earlier (November) before easing in December, but still finishes Q4 above global costs.
  • The selected series exhibits materially higher volatility than the global baseline.

Additional context from the broader global trend (2025)

  • Beyond Q4, the global baseline moderates across 2025, easing from ~52–54 in Q1 to mid‑40s in summer and dropping to 32.29 by September 2025.

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