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Facebook Ads Cost Per Lead Benchmarks for E-commerce in Argentina

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Cost Per Lead for E-commerce in Argentina

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-lead trends for E-commerce 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.
  • Argentina’s E-commerce median cost-per-lead (CPL) averages 15.80 over the observed months, 58% below the global baseline average of 37.86 for the same period.
  • Seasonal lift is evident: CPL rises through November–January, then eases into mid-year. This mirrors global patterns where costs typically increase in Q4 around holiday periods.
  • Volatility is higher locally: average month-to-month absolute movement is 7.71 versus 3.59 globally (about 2.1x higher).
  • From the first to the last observed month, Argentina’s CPL increases by 169%, but remains below market each month (26% to 94% lower than the global baseline).

Overview of the selected series (E-commerce, Argentina)

  • Average: 15.80 across seven observed months.
  • High/low: Peaks at 26.37 in 2025-01; lowest at 1.76 in 2024-10; overall range 24.61.
  • Trend and variance:
  • Strong climb Oct→Jan: 1.76 (Oct) → 17.78 (Nov) → 20.26 (Dec) → 26.37 (Jan).
  • Pullback thereafter: 21.12 (Feb) → 18.58 (May) → 4.73 (Jul).
  • Largest monthly moves:
  • Spike: Oct→Nov +910%.
  • Drop: May→Jul −75%.
  • Average month-to-month absolute change: 7.71.
  • Net change from first to last observed month: +169% (1.76 to 4.73).

Comparison to the global baseline

  • Baseline average (matched months Oct, Nov, Dec, Jan, Feb, May, Jul): 37.86.
  • Baseline high/low (matched months): 41.58 (Nov) and 31.12 (Oct); range 10.45.
  • Month-to-month baseline volatility (same intervals): average absolute change 3.59.
  • Relative positioning:
  • Argentina E-commerce CPL is below market in every matched month:
  • Range of underperformance: 26% lower (Jan) to 94% lower (Oct).
  • On average, the selected series is 58% below the global baseline for these months.

Seasonality and monthly highlights

  • Q4 and early Q1 lift:
  • Local CPL climbs sharply from October into November and December, reaching a high in January—consistent with Q4 holiday and post-holiday demand effects seen globally.
  • Mid-year normalization:
  • After January, CPL declines through February and May, with a sharp dip by July, while the global baseline remains relatively stable in the high-30s.
  • Baseline directionality:
  • Globally, CPL rises from October into November, stays elevated through early-year, and shows smaller swings than Argentina across the same timeline.

Understanding cost-per-lead benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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 is considered a good cost per lead on Facebook in 2025?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.

How can I generate leads at a lower cost without hurting lead quality?

Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.

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