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Facebook Ads Cost Per Purchase Benchmarks for Crypto & Blockchain in Argentina

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Cost Per Purchase for Crypto & Blockchain in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • This analysis looks at cost-per-purchase trends for the Crypto & Blockchain 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.
  • No in-market data points were available for the selected segment (Crypto & Blockchain in Argentina), so the comparison to the global baseline cannot be quantified.
  • Globally, cost-per-purchase averaged $47.82 over the period, peaked in February 2025 ($53.89), and hit a low in September 2025 ($32.29).
  • The global series declined 30.8% from October 2024 to September 2025, with typical month-to-month volatility of about $3.25 (6.97% on average).
  • Seasonality is visible: costs firmed in December–February, then eased into late summer, with a sharp drop in September.

Scope and context

  • Metric: cost-per-purchase (CPP)
  • Industry: Crypto & Blockchain
  • Country: Argentina
  • Baseline: global CPP median by month
  • Selected data availability: none for the period provided

Global baseline trend

  • Average: $47.82 across Oct 2024–Sep 2025.
  • High: $53.89 in Feb 2025.
  • Low: $32.29 in Sep 2025.
  • First-to-last change: down 30.8% (from $46.67 in Oct 2024 to $32.29 in Sep 2025).
  • Volatility:
  • Average absolute month-to-month change: $3.25.
  • Average absolute month-to-month percentage change: 6.97%.
  • Notable movements:
  • Nov → Dec: +$8.34 (+19.3%), a strong holiday-period rise.
  • May → Jun: −$4.01 (−7.9%), a meaningful mid-year softening.
  • Aug → Sep: −$13.40 (−29.3%), a pronounced late-summer/early-fall dip.
  • Seasonal pattern: elevated CPP in December through February, followed by a gradual easing through mid-year, and a significant pullback into September.

Selected market overview

  • For Crypto & Blockchain in Argentina, no monthly CPP observations were present in the dataset for the period reviewed.
  • As a result, averages, highs/lows, month-over-month changes, and seasonality for the selected segment cannot be calculated from the provided data.

Comparison to the global baseline

  • Relative position: indeterminate due to no observed Argentina segment data.
  • Directionally, the global market showed above-average CPP pressure in Q4–Q1, then moderated, ending the period well below the prior year’s October level.

Seasonality and volatility signals

  • Q4–Q1 strength: Costs typically increase around holiday periods, with the baseline peaking in Dec–Feb.
  • Mid-year stability: Modest, steady declines from March through August.
  • Late-summer reset: A sharp global drop in September underscores potential budget efficiency shifts outside peak seasons.

Closing

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain 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 Crypto & Blockchain 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.