Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Recreation and Travel in Argentina

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

Cost Per Purchase for Recreation and Travel in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected cost-per-purchase trend averages 91.84 across observed months, with an extreme spike in March followed by a sharp reset in April and a mild recovery by July.
  • Versus the global baseline for the same months, the selected average is about 83% higher, driven by a 3.9x surge in March; April and July sit below market.
  • Seasonality in the global baseline shows higher costs in late Q4–Q1 and a steady easing into Q2–Q3, culminating in the lowest point in September.

Scope and context

This analysis looks at cost-per-purchase trends for industry Recreation and Travel and target country Argentina compared to the global trend.

Selected trend summary

  • Observed months: March 2025 (205.25), April 2025 (30.90), July 2025 (39.36).
  • Average: 91.84; median: 39.36; high: 205.25 (March); low: 30.90 (April).
  • Notable movements:
  • March → April: -84.9%, a sharp correction from an outsized March spike.
  • April → July: +27.4%, a moderate rebound.
  • First → last month (March → July): -80.8%.
  • Volatility: average absolute month-to-month change across observed transitions is 91.41, indicating very high variability primarily due to the March spike.

Comparison to global baseline

  • Global baseline (Oct 2024–Sep 2025):
  • Average: 47.82; high: 53.89 (February 2025); low: 32.29 (September 2025).
  • First → last (Oct 2024 → Sep 2025): -30.8%, reflecting a gradual softening through mid-to-late year.
  • Matched-month comparison (March, April, July):
  • Baseline average for these months: 50.13 vs. selected 91.84 → selected is ~83% above market on average.
  • March 2025: selected 205.25 vs. baseline 52.61 → 3.9x above market.
  • April 2025: selected 30.90 vs. baseline 51.57 → ~40% below market.
  • July 2025: selected 39.36 vs. baseline 46.21 → ~15% below market.
  • Positioning: overall above market due to a single extreme month; otherwise mostly below or in line with the global trend in April–July.

Seasonality and volatility signals

  • Baseline seasonality: elevated cost-per-purchase in December–February, easing through Q2–Q3, with the lowest point in September. This aligns with typical patterns where costs often rise in Q4 around holiday periods and remain firm into Q1.
  • Selected pattern: an anomalous March spike (well above global levels) followed by a sharp normalization in April and a mid-year level in July that remains below the global average for that month. This suggests that, aside from March, the selected trend is broadly in line with the mid-year softening seen globally.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Recreation and Travel 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 Recreation and Travel 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.