Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for E-commerce in Argentina

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

Cost Per Purchase for E-commerce in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks — E-commerce, Argentina vs global

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. It looks at cost-per-purchase trends for industry E-commerce and target country Argentina compared to the global trend.

Main takeaways

  • Overall level: Argentina’s E-commerce cost-per-purchase averaged 37.62, sitting 23.6% below the global baseline (49.24) over the same months — clearly below market.
  • Trend direction: From October 2024 to August 2025, Argentina declined 51% (56.22 → 27.28), while the global baseline slipped just 2% (46.67 → 45.69).
  • Volatility: Argentina shows high month-to-month volatility (average absolute change 40.6%) versus a stable global trend (4.7%).
  • Highs and lows:
  • Argentina peaked in June 2025 at 94.71 and hit a low in July 2025 at 20.22.
  • Global baseline peaked in February 2025 at 53.89 and bottomed in November 2024 at 43.19.
  • Seasonal patterns: Globally, costs are elevated from late Q4 into early Q1. Argentina softened steadily through Q1, then spiked in June and reset sharply in July.

Argentina E-commerce cost-per-purchase trend

  • Average across the period: 37.62 (11 months).
  • High/low: High 94.71 (June 2025); low 20.22 (July 2025).
  • First-to-last change: -51% from October 2024 (56.22) to August 2025 (27.28).
  • Notable moves:
  • A steady pullback from October into February/March (October 56.22 → February 25.92).
  • A pronounced spike in June (+205.6% vs May), followed by a sharp July correction (-78.6% vs June) and partial recovery in August (+34.9% vs July).
  • Volatility: Average month-to-month absolute change of 40.6%, driven primarily by the June surge and July dip. Excluding June, the average level trends closer to the low 30s.

Comparison to the global baseline

  • Baseline average (same months, Oct 2024–Aug 2025): 49.24.
  • Baseline highs/lows: High 53.89 (February 2025); low 43.19 (November 2024).
  • Volatility: Stable month-to-month movement (4.7% average absolute change).
  • Relative positioning by month:
  • Argentina was below the global level in 9 of 11 months.
  • Above market in October (+20.5%) and June (+101.7%).
  • Below market by roughly 40–55% through most of Q1–Q2.
  • Seasonal context: The baseline shows elevated costs from November through February, whereas Argentina declined through early Q1 before an atypical mid-year spike.

What this means for benchmarking

  • Argentina’s E-commerce cost-per-purchase is generally below the global average, with substantially higher month-to-month swings and a mid-year spike that deviates from the steadier global pattern.
  • Seasonality observed globally (higher late Q4 into Q1) is less pronounced in Argentina’s series during this window.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.