Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks in Argentina

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

Cost Per Purchase in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • Argentina’s cost per purchase is generally below the global baseline, with an average of 24.90 vs. 49.66 (about 50% lower), yet it ends the period above market with a July spike.
  • Volatility is high in Argentina: average absolute month-to-month change ≈ 21.8 vs. 3.1 globally (~7x higher). Range is wider too (0.44–74.08 vs. 43.19–53.89).
  • Seasonal pattern: the global series peaks in Q4–Q1, while Argentina shows a lift in Nov–Dec followed by a sharp drop in Jan–May and a pronounced surge in July.
  • From the first to last observed month, Argentina moves from 0.44 to 74.08 (~+16,900%, influenced by a near-zero starting point), while the global baseline is nearly flat (−0.8%).

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

Selected data overview (Argentina)

  • Coverage: Sep 2024, Nov–Dec 2024, Jan–Mar 2025, May 2025, Jul 2025.
  • Average: 24.90. High: 74.08 (Jul 2025). Low: 0.44 (Sep 2024).
  • Notable movements:
  • Sep → Nov: jump from 0.44 to 45.72.
  • Nov → Dec: down 9.6% (45.72 → 41.33).
  • Dec → Jan: steep drop −84.8% (41.33 → 6.28).
  • Jan → Mar: gradual rebuild (+30.5% then +36.1%) to 11.15.
  • May → Jul: surge +518.5% (11.98 → 74.08).
  • First-to-last change: ~+16,900% (0.44 → 74.08), highlighting extreme end-period lift and a very low starting point.

Comparison to the global baseline

  • Average (same months): 49.66. High: 53.89 (Feb 2025). Low: 43.19 (Nov 2024).
  • Volatility: average absolute month-to-month change ≈ 3.1; range ≈ 10.69—substantially steadier than Argentina.
  • First-to-last change (Sep 2024 → Jul 2025): −0.8% (46.60 → 46.21), showing stability vs. Argentina’s swings.
  • Relative positioning by month:
  • Nov 2024: Argentina slightly above market (45.72 vs. 43.19).
  • Dec 2024: below market (41.33 vs. 51.53).
  • Jan–May 2025: well below market (Argentina in single digits/low teens vs. 50–54).
  • Jul 2025: above market (74.08 vs. 46.21, about 60% higher).

Seasonality and timing

  • Global pattern: higher cost per purchase in Q4–Q1 (holiday and early-year effects), easing into mid-year.
  • Argentina: shows a Q4 lift (Nov–Dec), a prolonged dip in Q1–Q2, then an outsized July spike that sits above the global high. Overall, Argentina’s curve is more erratic than the stable global trend.

Understanding cost per purchase benchmarks on Facebook Ads in industry All industries available 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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.