Compare lead generation cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
The headline: cost-per-lead in France ran materially above the global benchmark and ended the 13‑month window with a dramatic spike. 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.
Across July 2025–July 2026, France’s median cost-per-lead started near 56 and finished at 290, while the global baseline ran much lower and trended downward into mid‑2026. The French time series showed pronounced momentum shifts—sharp rises in late 2025 and an extreme run-up in June–July 2026—producing high volatility and several standout months.
France began July 2025 with a median CPL of about 56 and closed July 2026 at roughly 290 — a +417% change from start to finish. Over the 13 months the French median CPL averaged ~98, with a low of ~45.8 in August 2025 and a peak of ~290.2 in July 2026. By contrast the global baseline averaged ~44.1 over the same window.
Key monthly movements: August→September 2025 saw an 88% jump in France (46 → 86), and a sustained ascent from May→July 2026 delivered the largest moves: +41% in May→June and +104% in June→July. Other months showed smaller oscillations (for example, October→November fell ~4%, December→January fell ~20%). Overall the French series produced larger swings than the global series, with average absolute monthly changes near 29% versus ~10.8% for the baseline.
Seasonally, the baseline shows a familiar mid‑year softening: the global benchmark drifts down into June–July (baseline fell from ~37 in June to ~20.8 in July 2026, a ~44% month‑over‑month drop). France did not mirror that mid‑year trough; instead France accelerated into Q2→Q3 2026, producing the sharp late‑spring and early‑summer lift that culminated in July’s extreme high.
Earlier in the window, France alternated modest declines and rebounds through Q4 2025 and Q1 2026 (several +/-10–20% moves), then entered a sustained expansion in late Q2 2026. The rhythm is choppy: intermittent soft months followed by steep rebounds and two major spikes (Sept 2025 and June–July 2026).
France ran above global median CPL every month. The gap ranged from narrow (+~4% in August 2025, France 45.8 vs global 43.9) to enormous (+~1,293% in July 2026, France 290.2 vs global 20.8). On average France’s CPL was roughly 122% higher than the global benchmark (98 vs 44). Volatility in France was roughly 2.7x the baseline (average absolute monthly change ~29% vs ~10.8%), so France was both costlier and more volatile than the global pattern.
France’s profile is therefore “above market” and “more volatile”: periods of relative parity can be brief, but the dominant behavior across this window is elevated CPLs with sharp momentum swings compared to the global baseline.
Understanding Facebook Ads cost-per-lead benchmarks for all industries in France helps contextualize country-specific ad costs and broader CPC trends, CPM analysis and CTR performance comparisons when looking at industry ad performance across markets.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting France, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
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Late November (Black Friday/Cyber Monday), December (Christmas & post‑Christmas sales), May–June (spring sales)
Leisure and travel campaigns may raise CPM and CPC during spring holidays. May 'ponts' (bridge days) may create long weekends with lower weekday ad inventory. Ad competition increases in late November and December. Christmas may bring peak ad volumes.
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.
Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.
Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.
Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.
For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.
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