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Facebook Ads CTR Benchmarks for Software Development in France

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CTR (Click Through Rate) for Software Development in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Software Development in France vs global

This analysis looks at click-through-rate trends for industry Software Development 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 level: Software Development in France averaged a 0.75% median click-through-rate, well below the global baseline at 1.81% (about 59% lower).
  • Trend: From Oct 2024 to Sep 2025, France rose 31.6% (0.61% to 0.81%), while the baseline increased 20.1% (1.76% to 2.12%).
  • Seasonality: France showed a December spike and an April dip; globally, CTR softened into winter and then climbed steadily through summer into early fall.
  • Volatility: Month-to-month moves were higher in France (≈0.15 percentage points on average) than globally (≈0.05pp), indicating more variability at the market level for this segment.

Selected trend: Software Development in France

  • Time window: Oct 2024–Sep 2025 (12 months).
  • Average and median: Average 0.75%; median 0.74%.
  • Highs and lows:
  • High: 1.00% in December.
  • Low: 0.57% in April.
  • Range: 0.43pp, equal to ~57% of the average level.
  • Month-to-month volatility:
  • Average absolute change: ~0.15pp (about 20% of the average level).
  • Largest increase: +0.27pp from November to December.
  • Largest drop: −0.30pp from March to April.
  • Directional change: +31.6% from October (0.61%) to September (0.81%).
  • Notable patterns:
  • Year-end spike in December approaching 1.0%.
  • Post-Q1 rebound in March (0.87%) followed by an April trough.
  • Summer months (June–September) were relatively stable and elevated (≈0.72%–0.81%).

Comparison to global baseline

  • Average and median: Baseline average 1.81%; median 1.75%.
  • Highs and lows:
  • High: 2.12% in September.
  • Low: 1.67% in February.
  • Range: 0.44pp (≈25% of average).
  • Month-to-month volatility:
  • Average absolute change: ~0.05pp (about 3% of the average), far steadier than France’s Software Development segment.
  • Largest upswing: +0.12pp from July to August.
  • Seasonal tendencies:
  • Baseline softened through late Q4 into February, then climbed consistently from spring through late summer/early fall.
  • Divergence in December: France’s Software Development CTR spiked, while the global trend dipped.
  • Relative positioning:
  • France’s Software Development CTR remained below market every month—typically between one-third and three-fifths of the global rate.
  • Despite the gap, France posted stronger end-to-end growth (+31.6% vs +20.1%) across the period.

Key takeaways for marketers

  • Software Development in France operates below average versus the global CTR benchmark but showed improving momentum into late summer.
  • Expect higher variability month to month in France, with notable December spikes and potential spring pullbacks.
  • Globally, CTRs trend higher through summer into early fall, providing a useful backdrop for benchmarking country- and industry-specific outcomes.

Understanding click-through-rate benchmarks on Facebook Ads in industry Software Development and France helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the Software Development industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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. 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. 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 CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.