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
Cost per purchase in Singapore ran materially higher than the global Facebook Ads benchmark through most of 2025, with a dramatic spike in March, an elevated plateau from late spring into early Q4, and then a sharp reset into the turn of the year. The pattern was notably more volatile than the global trend, which moved within a tight band all year. 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.
Singapore started 2025 at 40.32, dipped to its in-year low of 27.60 in February, and then surged to a yearly high of 102.63 in March. From April through October, costs stayed elevated—often in the 90–92 range—before easing to 55.34 in November and closing the year at 76.36 in December. On average, 2025 cost per purchase in Singapore was 73.88, with a wide range of 75 points between the February low and the March peak. January 2026 marked a further pullback to 18.59, the lowest point in the 13-month window.
The key movements were sharp: a +75-point leap from February to March, a -36-point drop from October to November, and a +21-point rebound into December. Month-to-month volatility averaged roughly 22 points in Singapore across 2025, far exceeding the 1.6-point average monthly move in the global series. By contrast, the global median moved in a narrow 7-point corridor, from a high of 54.77 in February to a low of 47.32 in November, averaging 51.65 for the year.
The first quarter in Singapore was split between a soft January–February and an outsized March spike; Q1 averaged 56.9 with extreme dispersion. Mid-year was the most expensive stretch: from May through October, cost per purchase averaged 82.29, with sustained readings close to or above 90 from August to October. Q4 eased from that peak but remained elevated versus the start of the year, averaging 74.37 for October–December. The new-year reset to 18.59 in January 2026 underscores a pronounced seasonal comedown following the late-year intensity.
Globally, the rhythm was steadier: costs hovered around 53 in Q1, drifted gently lower through mid-year, and finished near 48 in November–December—typical of a market where aggregate demand and auction pressure change gradually rather than in spikes.
Across 2025, Singapore’s cost per purchase averaged about 43% above the global benchmark (73.88 vs. 51.65). Singapore tracked below the global level in January (-24%) and February (-50%), then ran above market from March through December. The widest premium arrived in March, when Singapore was roughly 94% higher than the global median; the narrowest positive gap was in November at +17%. At the turn of the year, the gap flipped again: January 2026 in Singapore was 26% below the global median (18.59 vs. 25.15). While the global series declined modestly from January to December (about -10%), Singapore nearly doubled from January to December (+89%) before resetting in January 2026.
These Facebook Ads benchmarks for cost per purchase highlight how country-specific ad costs in Singapore, across all industries, diverged from global patterns: higher on average, much more volatile, and marked by a dramatic March spike and a strong late-year plateau before a new-year reset. Understanding cost-per-purchase trends helps situate Singapore’s industry ad performance within the broader global CPM analysis, CPC trends, and CTR performance conversation for 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. 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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