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June 2025 - June 2026
Detailed observation of presented data
Singapore’s Cost Per Purchase (CPP) tells a story of high starting costs, sharp swings, and a deep finish. Over the 12-month window from June 2025–May 2026, CPP in Singapore ran above the global baseline on average but swung far more month-to-month, with a late-period trough that cut costs to roughly a third of the year’s opening level. 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 available in Singapore compared to the global benchmark.
Singapore began June 2025 at about 84.22 (monthly median Cost Per Purchase), climbing and peaking at roughly 91.91 in September before entering a bumpy descent. The 12‑month average CPP for Singapore was ~65.14 versus a global average of ~49.77 — about 31% higher on average. The high for Singapore was 91.91 (Sep 2025); the low was 26.15 (May 2026). From the opening month (84.22) to the closing month (26.15), Singapore’s CPP declined roughly 69%.
Monthly volatility was pronounced: Singapore’s average absolute month‑to‑month change was ~17.7 points, compared with ~3.1 points for the global benchmark — nearly six times as volatile. Notable swings include a steep fall from October (88.94) into November (56.36), another plunge from December into January (72.69 → 41.14), a rebound into March (72.77), and the dramatic decline to May’s low (26.15).
The rhythm across the year shows a summer–autumn peak, a Q4 wobble, then a pronounced early‑year reset. CPP rose through mid‑2025 into a late‑Q3 peak, softened in Q4 with a temporary recovery in December, then dropped sharply in early Q1 2026 before bouncing in March and sliding into the May trough. This pattern reads as a cycle of heavy spending and competition in mid‑to‑late 2025 followed by lower CPPs in late spring 2026. The magnitude of month-to-month moves in Singapore is a standout feature — periods of stability are short and punctuated by large jumps.
Relative to the global baseline, Singapore ran well above market for most of the year. In June–October 2025 Singapore’s CPP was roughly 45–74% higher than the global median, peaking at about +74% in September. The gap narrowed in late winter: January and February 2026 marked the first months where Singapore trailed global CPPs (about 15–16% below), and by May 2026 Singapore was roughly 38% below the global level. The narrowest positive gap occurred in April 2026 (~+8% vs. baseline). Overall, the global series showed a modest downward trend (≈‑14% from June 2025 to May 2026) and much lower volatility, while Singapore’s series was choppier and showed a larger net decline (~‑69%).
This data-driven summary of Cost Per Purchase dynamics for all industries in Singapore places local swings and seasonal rhythm against global Facebook Ads benchmarks, offering a clear picture of country-specific ad costs and industry ad performance in Singapore.
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.
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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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