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Facebook Ads Cost Per Lead Benchmarks for E-commerce

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Cost Per Lead for E-commerce

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

E-commerce lead costs spent the year on a rollercoaster: expensive in the first half, then cooling sharply and settling below the broader market through year-end. Across all countries, median Cost Per Lead (CPL) for E-commerce averaged $47.27 versus a $40.99 global benchmark for all industries—about 15% higher overall—but that headline masks a decisive midyear pivot. After peaking in February, CPLs fell nearly in half by July and stayed comparatively subdued into Q4, even as the global benchmark climbed into its seasonal high.

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for E-commerce across all countries compared to the global benchmark.

The story in the data

E-commerce CPL opened at $51.68 in January 2025 and ended at $33.66 in January 2026, a 35% decline. The year’s high arrived in February at $67.78, with March and April still elevated ($62.23–$63.60). From there, costs eased: $51.85 in May and $49.48 in June, before a sharp drop to the annual low of $31.90 in July. A modest rebound followed ($38.47 in August, $41.26 in September), and Q4 held in the upper $30s to mid-$40s, with a brief November lift to $47.19.

Across the period, the range spanned $31.90 to $67.78—a 53% spread—with average month-to-month movement of $7.52, about twice the global benchmark’s $3.52. Put simply: E-commerce CPL was not only higher than average early on, it was also more volatile throughout.

Quarterly rhythm underscores the shift. E-commerce averaged $60.56 in Q1 and $54.98 in Q2, then dropped to $37.21 in Q3 and $40.95 in Q4. The trajectory is a clear crest-and-cool pattern, with a midsummer trough and a cautious late-year rebound.

Seasonal and monthly dynamics

Seasonality is visible but asymmetric. While the broader market typically tightens into Q4, E-commerce’s downswing began earlier, bottoming in July and stabilizing in the late summer. October remained muted at $37.88 despite the usual end-of-year pressure, November briefly firmed to $47.19, and December eased back to $37.79 before January 2026 fell again to $33.66. The midyear plunge—from $63.60 in April to $31.90 in July, nearly 50%—was the key inflection that shaped the full-year picture.

E-commerce vs. the global benchmark

Relative positioning flipped midyear. In H1, E-commerce ran far above market (average $57.77 vs. $37.71, +53%), with the widest gap in March (+86% vs. global). From July onward, E-commerce generally sat below market (average $39.08 vs. $45.35, −14%), with the largest underperformance in October (−22%). The gap narrowed to near parity in November (−2.5%) and January 2026 (−2.3%).

The benchmark itself climbed steadily into Q4 (Q1 $36.20 → Q4 $46.48) before cooling in December ($42.24) and January 2026 ($34.46). By contrast, E-commerce trended downward overall, more choppy and roughly 2.1x more volatile than the market.

Closing

Viewed through Facebook Ads benchmarks, the median cost per lead for E-commerce across all countries ran high early, then reset lower and stayed under the global average in the back half of the year. For marketers tracking CPL alongside CPC trends, CPM analysis, and CTR performance, these industry ad performance signals help anchor country-specific ad costs against global patterns—clarifying how E-commerce leads priced relative to the broader market worldwide.

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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.