See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
February 2025 - February 2026
Detailed observation of presented data
Across all countries, SaaS & Cloud Platforms posted markedly higher Facebook Ads benchmarks for cost per purchase than the global, all‑industry baseline. The year told a clear story: a soft start, a forceful spring lift peaking in April, a late‑summer cooldown that stabilized into fall, and a December dip before a January rebound. Volatility was a defining characteristic for SaaS—bigger swings than the broader market, with several standout months widening the gap.
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 across all countries compared to the global benchmark.
For SaaS & Cloud Platforms (all countries), cost per purchase averaged about $171 across the period. It opened at $124 in January 2025, touched a yearly low of $121 in February, then surged to a peak of $218 in April—nearly an 80% lift off the February low. After spring, costs eased: $200 in May, $194 in June, and $181–$180 across July–August. September marked a deeper dip to $154 before costs climbed again into October–November ($176 and $190), and then pulled back to $149 in December. January 2026 rebounded to $187, ending roughly 50% higher year over year versus January 2025.
The monthly range was wide—$121 to $218—representing a swing of about 57% of the average level. Month‑to‑month moves averaged roughly $23, with the sharpest shifts clustered around the spring run‑up (March to April +$76) and the year‑end reset (November to December −$41, then +$38 into January 2026).
The global, all‑industry baseline was far steadier through 2025, averaging about $50. It hovered tightly around $50–$55 most of the year, softened into November–December ($47–$48), and then fell sharply to $25 in January 2026. Baseline month‑to‑month changes averaged just $3, underscoring how much more turbulent SaaS costs were.
Seasonally, SaaS costs built through late Q1 and cresting in April, a familiar spring pressure point. The middle of the year cooled and largely plateaued in the $180–$200 band. Q4 was mixed: a firm October–November followed by a December dip, then a swift January rebound. The baseline showed a different rhythm—remarkably flat for most of 2025, modestly lower in late Q4, and then an outsized January reset.
SaaS & Cloud Platforms ran well above market at every point. In 2025, SaaS averaged about $169 versus a $52 global average—roughly 3.3x higher. The gap narrowed at the start (February was the tightest month at 2.2x the global level) and widened during stress points: about 4.2x in April, 4.0x in November, and a dramatic 7.4x in January 2026 as the global median dropped to $25 while SaaS rebounded to $187. Volatility in SaaS ($23 average monthly swing) was about seven times the baseline’s ($3), reflecting more pronounced peaks and troughs. Year over year, January costs rose ~50% for SaaS but fell ~53% for the global benchmark, further expanding the spread.
In short, cost per purchase for SaaS & Cloud Platforms across all countries was consistently above the market, with a pronounced spring peak, mid‑year cooling, and a year‑end dip before a January rebound. These Facebook Ads benchmarks sit within a broader performance context that marketers often pair with CPC trends, CPM analysis, and CTR performance to understand country-specific ad costs and industry ad performance. Understanding cost per purchase benchmarks for SaaS & Cloud Platforms across all countries helps quantify how this category compares to global patterns over the year.
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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