Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Consumer Goods in Argentina

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

Cost Per Purchase for Consumer Goods in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: monthly trends and comparison

  • Over the observed months, Consumer Goods in Argentina runs above market on average (+15% vs the global baseline), but with extreme volatility driven by a single July spike.
  • The selected series trends down through Q4–Q1, bottoms in March, rebounds in April–May, spikes sharply in July, then normalizes in August.
  • Baseline costs are steady and higher in December–February, showing a seasonal lift that the Argentina series does not mirror.
  • First-to-last change: selected data falls 42% (October to August), while the global baseline slips just 2%.

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

Selected series overview (Consumer Goods, Argentina)

  • Average across available months: 57.02
  • High: 303.87 in July 2025
  • Low: 13.41 in March 2025
  • First-to-last change: 56.22 in October 2024 to 32.50 in August 2025 (−42%)
  • Volatility:
  • Q4–Q1 decline: October to March drops ~76%
  • Rebound: March to April jumps +167%; April to May eases −24%
  • Outlier: July surges to 303.87, then August falls −89% from July
  • Range: 13.41 to 303.87 (≈22.7× spread)

If we exclude the July outlier, the average across the remaining months is 29.59, notably below the global baseline.

Global baseline over the same months

  • Average: 49.46
  • High: 53.89 in February 2025
  • Low: 43.19 in November 2024
  • First-to-last change: 46.67 (October) to 45.69 (August) (−2%)
  • Month-to-month range is tight (low-to-high spread ≈10.7), indicating relatively low volatility.

Comparative insights

  • Overall level: Argentina average is +15% above the baseline (57.02 vs 49.46). However, the July outlier skews this; excluding July, Argentina sits well below the baseline (29.59 vs 49.46).
  • Seasonal shape:
  • Baseline shows a clear lift from December through February (51.53–53.89).
  • Argentina diverges, trending down through Q4 into a March low, then rebounding in April–May.
  • Month snapshots:
  • October 2024: Argentina above market (+20% vs baseline).
  • March 2025: Argentina at its lowest point (13.41) vs a steady baseline (52.61).
  • July 2025: Argentina spikes to 303.87—around 6.6× the baseline (46.21)—before normalizing in August (32.50), which is 29% below the baseline (45.69).

What this means for benchmarks

  • The global series reflects a stable cost profile with higher costs in late Q4 and early Q1.
  • The Argentina Consumer Goods series is characterized by a steep Q4–Q1 decline, a spring rebound, and a singular July spike that drives most of the variance.

Understanding cost per purchase benchmarks on Facebook Ads in industry Consumer Goods 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 Consumer Goods 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.

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