Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Software Development in Argentina

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

Cost Per Purchase for Software Development 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.
  • For Software Development in Argentina, cost-per-purchase tracked well above the global baseline on average (+73%), with sharp Q4 elevations and a deep January trough.
  • Seasonal pattern is clear: elevated costs in Q4, a steep reset in January, and mixed recovery through mid‑year.
  • Volatility in the selected series is high (average monthly swing ~68% vs ~5% globally), indicating pronounced month-to-month variability.

What this analysis covers

This analysis looks at cost-per-purchase trends for industry Software Development and target country Argentina compared to the global trend. We summarize averages, highs and lows, percentage change from first to last month, and notable swings using monthly median values.

Selected trend overview (Software Development, Argentina)

  • Period covered: Oct 2024–Jul 2025.
  • Average cost-per-purchase: 85.77.
  • High: 212.60 (Oct 2024). Low: 22.00 (Jan 2025). Range: 190.60.
  • Start-to-end change: down 82% from Oct 2024 (212.60) to Jul 2025 (37.90).
  • Seasonality:
  • Q4 spike: elevated levels in Oct–Dec (212.60 → 133.51 → 160.45).
  • Q1 reset: sharp dip in Jan (22.00), a common post-holiday pattern.
  • Partial rebound: Feb (81.32), with mixed movements into mid‑year.
  • Volatility:
  • Largest drop: -86% from Dec to Jan.
  • Largest jump: +270% from Jan to Feb.
  • Average absolute month-over-month change: ~68%, signaling high variability.
  • Notable swings:
  • Mid-year oscillation: Apr–Jun rose from 54.32 to 69.33 before falling to 37.90 in Jul (-45% MoM).

Global baseline context

  • Period matched to comparison: Oct 2024–Jul 2025.
  • Average cost-per-purchase: 49.59.
  • High: 53.89 (Feb 2025). Low: 43.19 (Nov 2024). Range: 10.70.
  • Start-to-end change: -1% from Oct 2024 (46.67) to Jul 2025 (46.21).
  • Volatility: stable, with average absolute MoM change of ~5%. Gradual Q4-to-Q1 lift aligns with typical holiday and early‑year dynamics.

How Argentina compares to the global baseline

  • Overall level: Above market by ~73% on average across Oct 2024–Jul 2025.
  • By month (relative position):
  • Significantly above in Q4: Oct 4.6×, Nov 3.1×, Dec 3.1× the global median.
  • Below average in Jan (58% below) and Mar (36% below), and again in Jul (18% below).
  • Near in line Apr–May (within +3–5% of global), moderately above in Jun (+48%).
  • Pattern alignment: Both series show Q4 elevation and a January reset; however, Argentina’s Software Development CPP is far more volatile with more extreme swings and a wider range.

Seasonal perspective

  • Costs typically increase in Q4 around holiday periods; this is pronounced in Argentina with peak levels in Oct–Dec.
  • Early-year softness is visible in both series, with Argentina showing an especially sharp January dip before partial normalization.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Software Development 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 Software Development 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.