Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Retail in Argentina

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead for Retail 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, Retail in Argentina shows cost-per-lead far above the global baseline across the observed months.
  • Average cost-per-lead for the selected data is 210.80, versus 38.91 for the global baseline in the same months (about 5.4x higher).
  • A clear seasonal spike appears in November 2024 (483.76), followed by steep declines into January 2025 (−79% month-to-month) and May 2025 (−52% month-to-month). Overall change from first to last month is −90%.
  • Volatility is high: average absolute month-to-month change is ~66% for the selected data versus ~13% for the baseline over the same intervals.
  • In every matched month, Argentina Retail sits above market: 11.6x higher in November 2024, 2.8x in January 2025, and 21% above baseline in May 2025.

Scope and context

This analysis looks at cost-per-lead trends for industry Retail and target country Argentina compared to the global trend. It uses monthly median benchmarks and compares the selected data to a global baseline.

Selected data highlights (Retail, Argentina)

  • Overall level and distribution:
  • Average: 210.80 across the three observed months.
  • Median: 100.54.
  • High: 483.76 (Nov 2024).
  • Low: 48.11 (May 2025).
  • Range: 435.65.
  • Trend and volatility:
  • Nov 2024 → Jan 2025: −79% (483.76 to 100.54).
  • Jan 2025 → May 2025: −52% (100.54 to 48.11).
  • First to last month: −90% overall.
  • Average absolute month-to-month change: ~66%, indicating elevated volatility.
  • Notable spike/dip:
  • Sharp Q4 spike in November, followed by rapid normalization through January and May.

Global baseline overview

  • Full-period baseline (Oct 2024–Sep 2025):
  • Average: 36.04.
  • High: 41.58 (Nov 2024).
  • Low: 20.63 (Sep 2025).
  • First to last month: −33.7%.
  • Pattern: modest lift in Q4 (Nov–Dec), generally mid-30s thereafter, with a late-period trough.
  • Baseline for matched months (Nov 2024, Jan 2025, May 2025):
  • Average: 38.91.
  • Volatility (Nov→Jan, Jan→May): ~13% average absolute change.

Head-to-head comparison (selected vs baseline, matched months)

  • Average level: 210.80 vs 38.91 (about 5.4x above market).
  • Month-by-month:
  • Nov 2024: 483.76 vs 41.58 (≈11.6x above).
  • Jan 2025: 100.54 vs 35.54 (≈2.8x above, +183%).
  • May 2025: 48.11 vs 39.63 (+21% above).
  • Volatility: selected swings (~66%) are ~5x the baseline (~13%) over the same intervals.
  • Seasonal context: both series exhibit a November lift consistent with Q4 holiday periods, but the magnitude in Argentina Retail is markedly higher.

What this means for benchmarking

Across the observed months, Retail in Argentina trends well above average global cost-per-lead benchmarks, with a pronounced Q4 peak and rapid softening thereafter. Compared to the global norm, Argentina Retail shows both higher levels and higher volatility. Understanding cost-per-lead benchmarks on Facebook Ads in industry Retail 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 Retail 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 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.