Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for SaaS & Cloud Platforms

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

Cost Per Purchase for SaaS & Cloud Platforms

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: SaaS & Cloud Platforms, All countries available

This analysis looks at cost per purchase trends for industry SaaS & Cloud Platforms and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall, SaaS & Cloud Platforms ran above market for most of the year: the average cost per purchase was 125.88 versus a global baseline of 47.82, roughly 2.6x higher.
  • Seasonality: costs built through Q1–Q2, peaking in June, while Q4 showed mixed movement; both series dropped sharply in September.
  • Volatility was elevated in SaaS compared to the market: average month‑over‑month (MoM) absolute change was about 19% versus 7% for the baseline.
  • The gap versus market was widest in late Q2; only September dipped below the baseline.

Selected series overview (SaaS & Cloud Platforms, All countries available)

  • Average: 125.88
  • High: 167.70 (June 2025)
  • Low: 20.67 (September 2025)
  • First-to-last change: down 82% from October 2024 (114.85) to September 2025 (20.67)
  • Notable moves:
  • Oct → Nov: +5.8%
  • Nov → Dec: −14.6%
  • Dec → Jan: +22.5%
  • Mar → Apr: +22.9%
  • Aug → Sep: −85.0% (sharp dip; materially below the rest of the period)
  • Range outside the September dip was tight for SaaS: roughly 104–168 across Oct–Aug, with a pronounced climb through spring into early summer.

Global baseline overview

  • Average: 47.82
  • High: 53.89 (February 2025)
  • Low: 32.29 (September 2025)
  • First-to-last change: down 30.8% from October 2024 (46.67) to September 2025 (32.29)
  • Notable moves:
  • Nov → Dec: +19.3%
  • May → Jun: −7.9%
  • Aug → Sep: −29.3%

Comparison to the global trend

  • Level: SaaS & Cloud Platforms averaged about 2.63x above the global baseline (+163%). The gap was especially wide in Q2:
  • May: 152.85 vs 50.97 (≈3.0x above market)
  • June: 167.70 vs 46.96 (≈3.6x above market)
  • Seasonal alignment:
  • Q4: the baseline rose into December, while SaaS ticked up in November then softened in December.
  • Q1–Q2: both series were firm; SaaS accelerated more strongly into April–June.
  • September reset: both series fell, with SaaS down 85% MoM to 20.67 and baseline down 29% to 32.29. September was the only month where SaaS fell below market (≈36% below baseline).
  • Volatility: SaaS exhibited higher MoM variability (≈19% average absolute change) than the global series (≈7%), indicating more pronounced month-to-month swings in acquisition costs.

Seasonal patterns to note

  • Q4 mixed for SaaS (Nov up, Dec down) vs a clearer baseline lift into December.
  • Costs generally increased through Q1–Q2, with SaaS peaking in June, consistent with broader scaling periods.
  • Both series showed a notable decline in early fall (September), after summer.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry SaaS & Cloud Platforms and All countries available 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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.