See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
The main story: cost-per-purchase for SaaS & Cloud Platforms ran well above the global baseline for the year but moved from a high, concentrated first half into a steep decline by late spring — a narrative of peak acquisition cost and then a pronounced rebound to lower levels. 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 SaaS & Cloud Platforms in All countries available compared to the global benchmark.
Across 13 months (Jun 2025–Jun 2026), the median cost-per-purchase for SaaS & Cloud Platforms averaged about $151.4, with values ranging from a high of $209.3 in February 2026 to a low of $62.2 in May 2026. The series began at roughly $169.9 in June 2025 and finished at $62.5 in June 2026 — a drop of about 63% from start to finish. The largest monthly movement occurred between March and April 2026, when cost-per-purchase plunged by roughly $78, followed by a cumulative fall of about $147 (≈70%) from the February peak to the May trough.
By contrast, the global baseline cost-per-purchase held a much steadier profile: an average near $48.2 over the same period, with a narrower monthly band and a marked dip to $25.50 in June 2026. In absolute terms, SaaS & Cloud Platforms sat around three times the baseline on average (≈214% higher).
Volatility in the SaaS series was pronounced. Average month-to-month absolute change ran about $20.8, compared with about $4.2 for the baseline — roughly five times the baseline’s monthly swing. This indicates sharper, less predictable cost movements for SaaS & Cloud Platforms versus the broader market.
A seasonal rhythm is visible: elevated acquisition costs clustered in late 2025 through early 2026, peaking in January–February, followed by rapid normalization in March–May. The early-year spike (peaking at $209 in February) gave way to a steep contraction across Q2 2026. The baseline shows smaller seasonal modulation, but it also records an unusual low in June 2026, underscoring a market-wide softening in that month.
Periods of relative stability occurred in mid 2025 (June–December), where costs hovered between roughly $168–$180 before the winter-to-winter jump into the $190–$209 window in early 2026. The post-peak decline produced the year’s most dramatic downward momentum.
Framed against the global benchmark, SaaS & Cloud Platforms were consistently above market: often 200–300% higher than baseline medians. The gap narrowed at its tightest when the SaaS series dropped into the $62–$82 range in April–June 2026, still roughly 25–70% above or below baseline depending on the baseline month, but broadly representing a large convergence toward market norms as the year closed.
Understanding Facebook Ads cost-per-purchase benchmarks for SaaS & Cloud Platforms in All countries available provides a data-grounded view of acquisition cost swings, seasonal peaks, and how industry ad performance compares to global CPM and CPC trends across markets.
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.
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.
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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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.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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