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January 2025 - January 2026
Detailed observation of presented data
Singapore’s Facebook Ads cost per purchase tells a story of a market that runs hotter and moves faster than the world at large. For all industries in Singapore, 2025 opened below the global benchmark, then swung sharply higher and stayed elevated for most of the year. A March spike set the tone for a high-cost middle stretch, followed by an uneven Q4 with a brief plateau before a sharp November reset. Month-to-month volatility was a defining feature, with swings far steeper than the global rhythm.
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 all industries in Singapore compared to the global benchmark.
Across 2025, Singapore’s median cost per purchase (CPP) averaged $73, versus a $51 global average. The year began at $40 in January, dipped to the annual low of $28 in February, then vaulted to the high of $103 in March—an overnight regime change of +$75 month over month. From April through October, CPP held mostly in a high band ($85–$92), featuring:
The late-year picture changed quickly: November fell to $55 before a partial rebound to $65 in December. Taken together, Singapore finished the year higher than it started (+62% from January to December), but with wide amplitude. The monthly absolute change averaged $21—about ten times the swing most marketers would expect in steadier markets.
Seasonality showed up, but through Singapore’s own lens. Q1 was uneven: a soft January–February followed by a March spike that reset the baseline higher. Q2 stayed elevated on average despite May’s breather. Q3 was the steadiest high-cost period, with three consecutive months near or above $90. Q4 was mixed: an October peak, a pronounced November dip, and a modest December recovery. Globally, performance typically softens through Q4 as competition rises, with costs often easing into year-end; Singapore mirrored the softening in November but from a much higher perch.
Relative to the global benchmark, Singapore spent most of the year above market:
In short, Facebook Ads cost-per-purchase benchmarks for all industries in Singapore in 2025 were elevated and markedly more volatile than global norms—defined by a Q1 surge, a high-cost mid-year plateau, and a mixed Q4. Understanding cost per purchase trends in Singapore helps frame country-specific ad costs against global Facebook Ads benchmarks and clarifies how industry ad performance in this market diverges from worldwide patterns.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Singapore, 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.
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.
Late January (Chinese New Year), October–December (Deepavali, National Day promotions, Christmas), Mid-year retail events
CPM and CPC might rise during Chinese New Year and Deepavali for gifting, food, and apparel categories. Good Friday, Hari Raya, and Vesak Day long weekends could shift consumer behavior and spike media consumption. National Day promotions might elevate ad costs in entertainment and tourism. Singapore's small, affluent market means events can have noticeable retail impact.
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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