Facebook Ads Insights Tool

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

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

Cost Per Lead for E-commerce in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per lead benchmarks: E-commerce in France vs. global

This analysis looks at cost per lead trends for industry E-commerce and target country France compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall, E-commerce in France ran below market on average (about 10% lower than the global baseline), but with much higher volatility.
  • Clear Q4 seasonality is visible: costs rise sharply into November–December, then reset in January.
  • The French series shows a pronounced trough in June, followed by a sharp rebound into late summer.

Key stats for E-commerce in France (selected data)

  • Period: Sep 2024–Aug 2025
  • Average median cost per lead: 33.38
  • Median: 34.01
  • High: 48.65 (Dec 2024)
  • Low: 16.37 (Jun 2025)
  • Range: 32.28
  • Change from first to last month: +62.6% (23.82 in Sep 2024 to 38.73 in Aug 2025)
  • Volatility (avg absolute month-to-month move): 9.11
  • Notable moves:
  • Strong Q4 build: Sep → Dec rose by +104% cumulatively, peaking in December (48.65)
  • Largest drop: May → Jun (-15.08) to the period low (16.37)
  • Largest rebound: Jun → Jul (+17.89), with further rise into August (38.73)

How France compares to the global baseline

  • Baseline period matched (Sep 2024–Aug 2025)
  • Baseline average: 37.06; median: 38.47
  • Baseline high/low: 41.58 (Nov 2024) / 31.12 (Oct 2024)
  • Baseline range: 10.45
  • Baseline change from first to last month: +12.6%
  • Baseline volatility (avg absolute month-to-month move): 3.42

Positioning vs. market:

  • On average: France E-commerce is about 9.9% below the global baseline (33.38 vs. 37.06).
  • Peaks: France reached a higher seasonal peak than the baseline (48.65 in Dec vs. baseline peak 41.58 in Nov).
  • Lows: France dipped far below the global low (16.37 vs. 31.12), underscoring greater variability.
  • Months above market: Oct, Nov, Dec, and Aug; all other months were below market, with June markedly below.
  • Example differences: Dec was about 23% above baseline; June was about 57% below baseline.

Seasonal and monthly patterns

  • Q4 surge: Both series show rising costs through October and November, with France peaking in December—consistent with holiday-driven competition.
  • January reset: Costs fall in January from December highs in both France and the baseline.
  • Spring variability: France oscillates through March–May, then hits an atypical June trough not mirrored by the baseline (which remains stable around the high-30s).
  • Late-summer lift: France climbs through July and August, finishing slightly above the global level in August.

Understanding cost per lead benchmarks on Facebook Ads in industry E-commerce and France 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 France, 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.

France Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 18Good Friday (Alsace & Moselle)
Apr 21Easter Monday
May 1Labour Day
May 8Victory in Europe Day
May 29Ascension Day
Jun 9Whit Monday
Jul 14Bastille Day
Aug 15Assumption Day
Nov 1All Saints' Day
Nov 11Armistice Day
Dec 25Christmas Day
Dec 26Saint Stephen's Day (Alsace & Moselle)

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)

Potential Advertising Impact

CPM and CPC might increase during spring holidays when leisure and travel campaigns see higher engagement. Extended 'ponts' (bridge days) in May could create long weekends with lower weekday ad inventory. Late November and December feature steep increases in ad competition. Christmas season may drive peak ad volumes.

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.