Facebook Ads Insights Tool

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

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 United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: key takeaways

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

  • The United States SaaS & Cloud Platforms median cost-per-purchase averaged 111.18 over the last 12 months, sitting well above the global baseline average of 47.82 (about 2.32x higher, clearly above market).
  • Most months for the selected data fell in a tight 109–131 range, but September 2025 showed a sharp one-month drop to 11.69, creating an outsized decline from the first to last month (-91%).
  • Seasonality is evident: elevated costs in Q4 and early Q1 (Oct and Jan highs), a spring lift (Apr), and a late-summer uptick (Aug). The global baseline also rises in Dec–Feb and dips into late summer, with a pronounced September decline.
  • Volatility: selected data moved an average of 16.2% month-to-month (8.8% excluding September’s outlier), versus 7.0% for the baseline (4.7% ex-September). The selected trend is more volatile than the global trend.

United States SaaS & Cloud Platforms: trend overview

  • Average: 111.18 across Oct 2024–Sep 2025.
  • High/low: High in Oct 2024 at 133.83; low in Sep 2025 at 11.69.
  • First-to-last change: From 133.83 (Oct 2024) to 11.69 (Sep 2025), a -91% change.
  • Month-to-month moves:
  • Largest increases: Apr 2025 vs Mar (+14.6%), Jan vs Dec (+13.9%), Aug vs Jul (+12.6%).
  • Largest decreases: Sep 2025 vs Aug (-90.7%), Oct 2024 vs Nov (-18.2%).
  • Typical range: Excluding September’s anomaly, the Oct–Aug average was 120.23, with most months clustering between 109 and 131, indicating relatively stable performance apart from the late Q3 drop.

Global baseline comparison

  • Average: 47.82.
  • High/low: High in Feb 2025 at 53.89; low in Sep 2025 at 32.29.
  • First-to-last change: -30.8% from Oct 2024 to Sep 2025.
  • Volatility: 7.0% average month-to-month change (4.7% excluding September).
  • Relative positioning:
  • Overall level: The United States SaaS & Cloud Platforms sits about 2.32x above the global median.
  • In the “typical” Oct–Aug window, the selected average (120.23) was roughly 2.44x the baseline (49.24), consistently above market.

Seasonal patterns

  • Q4–Q1: Costs tend to elevate around the holiday period and into January. The selected series peaked in October and remained comparatively high in January; the baseline also lifted from December through February.
  • Spring: A visible uptick in April for the selected series.
  • Late summer: An August rise in the selected series; both series then dropped into September, with an especially sharp dip for the selected data.

Notable spikes and dips

  • Spikes: Apr 2025 and Aug 2025 stand out for the selected series, aligning with spring and late-summer activity.
  • Dips: The most notable dip is September 2025 for both series, with the United States SaaS & Cloud Platforms significantly below typical levels, while the baseline also hit its yearly low.

Understanding cost-per-purchase benchmarks on Facebook Ads in SaaS & Cloud Platforms and United States 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 United States, advertisers often face higher costs due to high competition and purchasing power. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

• Instant performance insights – See which ads, audiences, and creatives drive results.

• Data-driven creative decisions – Spot patterns to improve ROAS.

• Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.

Explore Facebook Ads Metrics

Discover detailed cost benchmarks for different Facebook advertising metrics:

CPC (Cost Per Click)

Average cost per click benchmarks across industries

CPM (Cost Per Mille)

Cost per thousand impressions across different markets

CTR (Click Through Rate)

Benchmark click-through rates for Facebook ads

Cost Per Lead

Cost per lead across different markets

Cost Per Purchase

Average cost per purchase benchmarks across industries

Cost Per App Install

See how much it costs to get users to install an app