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January 2025 - January 2026
Detailed observation of presented data
France ran consistently above the global benchmark on cost per purchase in 2025, with a clear story: a soft Q1, a sharp spring lift, an elevated plateau through summer, and a pronounced October spike before easing into year‑end. Month-to-month swings were notably sharper than the global trend, but the year closed only slightly below where it began. 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.
Starting at 61.25 in January and ending at 58.10 in December, France’s cost per purchase fell 5% across the year, yet remained elevated versus the world throughout. The annual average landed at 65.8, compared with a 51.4 global average—about 28% higher.
Highs and lows were pronounced. The annual low arrived in March at 56.60, followed by a sharp April jump to 72.46 (+28% month over month). The market reached its peak in October at 82.91 before falling back to 64.40 in November and 58.10 in December. France’s monthly volatility averaged 7.5 points, roughly four times the global benchmark’s 1.8—evidence of a choppier local market.
On a quarterly rhythm, Q1 averaged 58.3, then costs stepped up and stayed elevated: Q2 at 68.2, Q3 at 68.2, and Q4 at 68.5. Within that plateau, August (72.70) and September (72.63) held steady at high levels, with October’s surge standing out as the peak month.
The pattern tracked familiar seasonality with a twist. Early-year purchasing costs were comparatively soft in February–March before a spring lift in April. Summer maintained higher levels, with brief relief in July (59.12) before rebounding into August and September. October marked the year’s most expensive month, after which costs receded in November and December—still higher than Q1 but well below the October peak.
Globally, seasonality skewed in the opposite direction: costs trended down more steadily through the year, with the lowest levels in November and December.
France stayed above market every month. The premium over the global benchmark ranged from just +4% in February to +57% in October, averaging about +28% for the year. While the global line declined 15% from January to December (53.25 to 45.08), France dipped only 5% (61.25 to 58.10), creating a divergent arc: steady global softening versus a higher, more volatile French plateau.
The spread was narrowest in late winter (February–March at +4% to +7%) and widened sharply from spring onward, holding at +27% to +38% across April–September before stretching to +57% in October and closing the year at +29% in December.
In short, Facebook Ads benchmarks for cost per purchase in all industries in France show a higher-cost, more volatile year than the global trend—soft in Q1, elevated from spring onward, and peaking in October before easing into the holidays. Understanding cost-per-purchase dynamics in France helps benchmark country-specific ad costs and compare industry ad performance to global patterns.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. 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.
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.
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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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.
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Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)
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.
It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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