Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for SaaS & Cloud Platforms in France

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for SaaS & Cloud Platforms in France

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry SaaS & Cloud Platforms 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.
  • The selected segment sits well above market: average cost-per-purchase of 118.28 versus a global baseline of 49.24 (about 2.4x higher).
  • Volatility is elevated: average month-to-month swing of 17.1% (about 18.5 in absolute terms) versus 4.7% for the baseline (about 2.24).
  • Seasonality shows a late-year softening followed by a sharp Q1–Q2 climb, peaking in June, then easing into late summer.

Overview of the selected segment

  • Period covered: Oct 2024–Aug 2025.
  • Average: 118.28
  • High/low: peaked in Jun 2025 at 187.57; lowest in Dec 2024 at 70.27. The range is wide (117.30), signaling substantial dispersion.
  • Start-to-end change: from 85.95 in Oct 2024 to 157.57 in Aug 2025, a rise of 83.3%.
  • Volatility: average month-to-month absolute change of 17.1% (largest jump +50.5% in May; largest drop -12.7% in Dec). In value terms, that’s roughly ±18.5 per month.

Notable movements:

  • Q4 2024 eased: Oct → Nov (-6.4%), Nov → Dec (-12.7%).
  • Early 2025 acceleration: Jan → Feb (+32.3%), Feb → Mar (+21.4%).
  • Spring surge: Apr → May (+50.5%).
  • Peak and cool-off: Jun peak (187.57), followed by declines in Jul (-7.5%) and Aug (-9.1%), though levels remained elevated.

Comparison with the global baseline

  • Baseline average across the same months: 49.24 (selected is 2.4x higher).
  • Baseline high/low: high 53.89 (Feb), low 43.19 (Nov); range 10.70. The selected range is roughly 11x wider.
  • Baseline start-to-end change: 46.67 (Oct) to 45.69 (Aug), down 2.1%—essentially flat to slightly lower versus the strong uptrend in the selected segment.
  • Baseline volatility: average month-to-month absolute change 4.7% (about 2.24 in value), far steadier than the selected segment’s 17.1%.

Relative positioning:

  • Consistently above market across all months; even the selected low (70.27 in Dec) sits ~1.6x the baseline low (43.19).
  • Peak differential in Jun: 187.57 versus a baseline of 46.96 (roughly 4x).

Seasonality and volatility

  • Seasonal pattern in the selected segment shows late-year relief (Nov–Dec declines), followed by Q1–Q2 inflation culminating in a June peak. This contrasts with the baseline’s mild lift into winter (Nov–Feb) and gradual easing into summer.
  • The selected segment’s higher volatility—around 3.6x the baseline by percentage—indicates larger month-to-month swings, with sharp spikes in Feb, Mar, and May.

Monthly highlights

  • Lows: Dec 2024 (70.27) after two consecutive declines.
  • Spikes: Feb (+32.3%), Mar (+21.4%), and especially May (+50.5%).
  • Peak: Jun 2025 (187.57), followed by moderation in Jul and Aug while remaining above average.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry SaaS & Cloud Platforms 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 SaaS & Cloud Platforms 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. 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's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.