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November 2024 - November 2025
Detailed observation of presented data
Across the last 12 months, Facebook Ads cost‑per‑purchase (CPP) for all industries in Singapore charted a choppy descent from a sharp November spike to steadier, lower costs by October. The year’s defining beats: a steep reset into February, a dramatic March rebound, and a mid‑year trough in July before settling into the low‑40s. Compared to the global benchmark, Singapore spent most months below market, but with far bigger month‑to‑month swings.
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’s CPP opened at 80.94 in November 2024 and closed at 40.91 in October 2025, a 49% decline over the period. The average for the year was 42.89 (median 39.94), skewed upward by two spikes: the November peak (80.94, the annual high) and a March rebound to 61.99. The annual low landed in July at 26.64, marking a 67% peak‑to‑trough contraction from November; CPP then climbed 54% from that July low into October.
The monthly path shows the volatility: a rapid reset from November to February (80.94 → 27.90), a more‑than‑doubling in March (+122% month‑over‑month), a softer Q2 in the mid‑30s, and a late‑Q3/early‑Q4 stabilization around 41. Average absolute monthly movement in Singapore was 12.86 points—large relative to the mean—highlighting a market where purchase costs can pivot quickly.
Late Q4 saw elevated CPP in Singapore, followed by a typical Q1 pattern: softness through February and an engagement‑led rebound in March. Q2 cooled, with CPP mostly in the low‑to‑mid 30s, and Q3 started at the year’s low in July before rebuilding into August and September. By October, CPP steadied near 41, close to the annual median.
Globally, seasonality was more restrained. CPP was highest in Q1 (peaking in February at 53.84) and then drifted lower into October. The global range across the year was tight—roughly 43 to 54—versus Singapore’s wider band of 27 to 81, underscoring the difference in volatility between country‑specific ad costs and the aggregated market.
On level, Singapore averaged 42.89 versus a global 49.33—about 13% below the global Facebook Ads benchmark for CPP. Singapore trailed the market in 10 of 12 months; exceptions were November (+90% above global) and March (+18% above). For most of the year, the gap sat below market by 15–45%, narrowing to roughly 5–6% below in December and October.
On momentum, the contrast is sharper. Singapore’s average month‑to‑month volatility (12.86 points) was roughly five times the global benchmark (2.58 points). The global curve rose modestly from November to February and eased steadily thereafter (+1.7% from November 2024 to October 2025 overall), while Singapore’s trend was distinctly choppier: a fast decline into February, a March surge, a mid‑year trough, and a measured recovery by autumn.
Taken together, Facebook Ads benchmarks for cost‑per‑purchase in all industries show Singapore running below the global average but with far greater amplitude—defined by a November surge, a February low, and a July trough before stabilizing. Understanding cost‑per‑purchase trends and country‑specific ad costs in Singapore helps teams gauge industry ad performance and compare CPP patterns to the steadier global baseline.
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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