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Facebook Ads Cost Per Purchase Benchmarks for SaaS & Cloud Platforms in Argentina

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

Cost Per Purchase for SaaS & Cloud Platforms in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: SaaS & Cloud Platforms in Argentina vs global

Key takeaways

  • 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 SaaS & Cloud Platforms and target country Argentina compared to the global trend.
  • Argentina’s median cost-per-purchase averaged 73.09 over the period, about 48% above the global baseline average of 49.24 (Oct 2024–Aug 2025).
  • Costs were consistently above market every month and markedly more volatile: average month-to-month movement was 13.57 in Argentina vs 2.24 globally.
  • Seasonal patterns are evident: a Q4 jump, elevated Q1, and a pronounced spike in May, followed by a sharp June correction.

Selected data overview: SaaS & Cloud Platforms in Argentina

  • Average: 73.09 across 11 months (Oct 2024–Aug 2025).
  • High and low:
  • Highest month: May 2025 at 97.69.
  • Lowest month: Oct 2024 at 53.04.
  • Range: 44.65 from low to high.
  • Trend and volatility:
  • First-to-last change: +24.1% (53.04 in Oct 2024 to 65.80 in Aug 2025).
  • Average month-to-month absolute change: 13.57, indicating substantial variability.
  • Notable spikes/dips:
  • Oct to Nov: +39.8% (53.04 to 74.16).
  • Apr to May: +23.7% (78.99 to 97.69).
  • May to Jun: −28.9% (97.69 to 69.41).
  • Jun to Jul: +19.0% (69.41 to 82.61).
  • Jul to Aug: −20.3% (82.61 to 65.80).
  • Seasonality:
  • Costs rose into November, stayed elevated across Q4–Q1, peaked in May, then cooled in early Q3—patterns consistent with holiday/Q4 pressure and spring promotional cycles.

Comparison to the global baseline

  • Baseline average (Oct 2024–Aug 2025): 49.24.
  • Highest month: Feb 2025 at 53.89.
  • Lowest month: Nov 2024 at 43.19.
  • First-to-last change: −2.1% (46.67 to 45.69).
  • Volatility: average month-to-month absolute change of 2.24.
  • Relative positioning:
  • Argentina ran above market in every month.
  • Average premium vs baseline: +23.86, or +48% relative to the global average.
  • Monthly premiums were particularly large in:
  • May 2025: +91.7% vs global.
  • Jul 2025: +78.8% vs global.
  • Nov 2024: +71.7% vs global.
  • Seasonal comparison:
  • Both series show Q4–Q1 strength, but Argentina amplified those movements with larger spikes and deeper pullbacks. The global trend was steadier, with modest rises into Dec–Feb and a gentle easing into summer.

What this means for benchmarking

  • For SaaS & Cloud Platforms in Argentina, cost-per-purchase levels are structurally higher than the global composite and notably more volatile, with a pronounced May peak and visible Q4/Q1 pressure.
  • Understanding cost-per-purchase benchmarks on Facebook Ads in industry SaaS & Cloud Platforms 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 SaaS & Cloud Platforms 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.