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Facebook Ads Cost Per Purchase Benchmarks for Retail in Argentina

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Cost Per Purchase for Retail in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Retail in Argentina shows a consistently below-market cost-per-purchase, averaging $13.07 versus the global benchmark’s $50.75 across the same months (≈74% lower).
  • A clear Q4 spike appears in December (to $26.23), followed by a sharp reset in January ($7.86), then a gradual climb into March and May.
  • Volatility is high in Argentina: average absolute change between observed periods is ~48.6%, compared with ~5.9% in the global baseline.
  • From the first observed month (Nov 2024) to the last (May 2025), Argentina rose 9.7%; the global baseline rose 18.0% over the same span.

About this analysis

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

Retail in Argentina: cost-per-purchase trend

  • Overall level (Nov 2024–May 2025): average $13.07; median $11.18.
  • High: $26.23 in December 2024.
  • Low: $7.86 in January 2025.
  • Range: $18.37 across the period.
  • First-to-last change: +9.7% (from $12.58 in Nov 2024 to $13.80 in May 2025).
  • Notable movements:
  • November → December: +108.5% spike to the period high.
  • December → January: −70.0% sharp reset.
  • January → March: steady rebuild (+4.3%, then +19.3%).
  • March → May: +41.1% increase across the next observed point (April not available).

Interpretation for marketers: Retail in Argentina exhibits pronounced seasonality with a December surge and a January drop, then stabilization at a lower-but-rising level.

Comparison to the global baseline

  • Baseline average for matched months (Nov, Dec, Jan, Feb, Mar, May): $50.75.
  • High: $53.89 (Feb 2025); low: $43.19 (Nov 2024).
  • First-to-last change: +18.0% (Nov → May).
  • Relative positioning:
  • Argentina’s Retail cost-per-purchase is below market in every observed month.
  • Monthly ratios vs. global: ~15%–51% of the global level, with the closest gap in December (~51% of global) and the widest in January (~15% of global).
  • Volatility comparison:
  • Argentina: ~48.6% average absolute change between observations.
  • Global baseline: ~5.9% average absolute change.
  • Conclusion: Argentina is substantially more volatile than the global trend.

Seasonality and volatility

  • Seasonal pattern is evident: costs typically increase in Q4 around holiday periods. The selected data show a pronounced December spike and a January normalization.
  • The global baseline also rises into Q4/early Q1 (Nov → Feb +24.7%), but with far less amplitude than Argentina’s Retail pattern.
  • April data is not available for Argentina; by May, costs remain well below the global benchmark and are in line with a gradual post-Q1 climb.

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

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