Facebook Ads Insights Tool

Facebook Ads CPM Benchmarks in France

Understand how your CPM compares. Dive into benchmark data by industry, region, and campaign type

CPM (Cost Per Mille) in France

December 2024 - December 2025

Insights

Detailed observation of presented data

Introduction

Across all industries in France, Facebook Ads CPMs traced a distinctly lower-cost, higher-volatility path versus the global benchmark. Median CPMs started modestly in late 2024, hit a deep trough in January, surged in March, eased through summer, and then spiked sharply into November 2025. While the global market stayed relatively steady at around $20 CPM, France typically ran at roughly half that level, with occasional leaps that narrowed the gap.

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 all industries in France compared to the global benchmark.

The story in the data

  • Starting point to endpoint: France’s CPM moved from 9.57 in November 2024 to 20.07 in November 2025, a jump of roughly 110%. Globally, CPMs rose from 24.05 to 24.72 over the same period (+3%).
  • Averages and range: France averaged 10.75 across the 13 months, versus the global 20.10. The French range was wide—low at 4.94 (January 2025) and high at 20.07 (November 2025)—a 15.13-point spread. Global CPMs ranged from 17.80 to 24.72 (6.92 points).
  • Key movements: A near-halving in January (−48% vs December) was followed by a February rebound (+66%) and a March spike to 16.72 (+104% MoM). Midyear stabilized near 9–11, then November delivered another dramatic lift to 20.07 (+109% MoM).
  • Volatility: France’s average absolute month-to-month swing was 3.19 points, about 2.3 times the global volatility (1.39 points), underscoring a choppier local market.

Seasonal and monthly dynamics

  • Late 2024: Despite typical Q4 competitive pressure globally, France’s CPMs were subdued in November–December 2024 (9.57 and 9.54), averaging 9.56 versus the global 22.20.
  • Q1 2025: A pronounced trough in January (4.94) gave way to rapid recovery in February and a standout March peak (16.72), briefly bringing France closer to global levels.
  • Q2 2025: CPMs cooled and consolidated around 10–11 (average 10.71), marking a steadier phase.
  • Q3 2025: Soft-to-stable performance across July–September (8.82 → 10.71; average 9.66), consistent with lighter midyear competition patterns observed broadly.
  • Early Q4 2025: October eased to 9.62 before a year-end surge in November to 20.07, the period high.

Country vs. Global

  • Level comparison: France averaged about 47% of global CPMs (10.75 vs 20.10), or roughly 53% below the market across the period. Eight of 13 months sat below half of global levels.
  • Gap dynamics: The widest gap appeared in January 2025, when France trailed by 72%. The narrowest gaps emerged during March (−13% vs global) and November 2025 (−19%), when local costs lifted toward the market.
  • Trend shape: The global trend was steady (+3% from November to November) with mild Q4 lift, while France’s trajectory was more dramatic—deep Q1 dip, March rebound, midyear easing, and a pronounced November surge.

Closing

This CPM analysis of Facebook Ads benchmarks shows that country-specific ad costs in France, across all industries, typically ran well below the global average but with sharper swings and two notable convergence moments in March and November 2025. Understanding CPM trends and industry ad performance for all industries in France helps teams evaluate how local cost dynamics compare to global Facebook Ads benchmarks and broader CTR performance or CPC trends across markets.

Understanding the Data

Insights & analysis of Facebook advertising costs

Cost Per Mille (CPM) is the cost advertisers pay for 1,000 impressions of their Facebook ad. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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 affects CPM rates on Facebook Ads?

CPMs are heavily influenced by competition, seasonality (e.g., Q4 costs more), audience size, and ad quality. Smaller audiences and lower relevance scores often lead to higher CPMs.

Why does my CPM vary so much between campaigns?

Different campaign objectives, bidding strategies, and even time of day can change your CPM. For example, conversion campaigns usually have higher CPMs than traffic ones. Also, broad targeting tends to drive lower CPMs.

What's a competitive CPM for 2025?

In most industries, CPMs range from $5 to $18 depending on the region and objective. Retail and e-comm campaigns often sit at the higher end. Our live data above shows a breakdown by country and industry.

Does audience size or targeting affect CPM more?

Both matter, but audience quality (intent + match with your offer) usually has more impact than pure size. However, extremely tight audiences often lead to expensive CPMs due to limited delivery opportunities.

Should I worry more about CPM or CPC?

Depends on your goal. For awareness, CPM is more relevant. For performance campaigns, CPC and CPA matter more. But all are connected—inefficient CPMs can inflate your entire funnel.