Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Singapore’s cost-per-purchase profile ran hotter and much choppier than the global benchmark across the 12-month window. 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.
In plain terms: Singapore started the year with elevated costs (roughly SGD 71 in July 2025), peaked in September (about SGD 92), then fell steadily into a low-thirties trough by May–June 2026. The rhythm shows strong Q3/Q4 pressure followed by a sharp decline through early- to mid‑2026, with several abrupt month-to-month reversals.
Cost per purchase in Singapore averaged about SGD 59.3 over the period, ranging from a high of ~SGD 91.9 (September 2025) to a low of ~SGD 32.7 (May–June 2026). The series began at ~SGD 71.4 (July 2025) and finished at ~SGD 32.7 (June 2026), a decline of roughly 54% from start to end.
Notable moves: August→September 2025 climbed from ~SGD 80 to ~SGD 91 (+15%), while February→March 2026 jumped from ~SGD 40.9 to ~SGD 72.3 (+77%). The largest single drop came March→April 2026 (≈ −53%), and the sustained low in April–June 2026 held near ~SGD 32–34. Monthly volatility (standard deviation) was large — roughly SGD 21–22 — indicating swings equal to about 36% of the Singapore mean.
By contrast the global (baseline) median sat near SGD 49.9 across the same months, with a much tighter monthly standard deviation (~SGD 3.3). That baseline helps set the scale for comparison.
The pattern reads like a classic high‑pressure selling season followed by post-season cooling. Q3 (July–September 2025) showed the strongest lift, peaking in September. Q4 contained a softer dip and a brief rebound (November and December were mid-range). January–February 2026 were relatively subdued (~SGD 40 each), followed by a sharp spike in March and then a sustained decline through April–June 2026 into the low‑thirties.
This rhythm mirrors heavier competition and higher bid pressure in late summer and early autumn, then a pronounced taper and rebalancing in the first half of the next year — punctuated by an outlier spike in March.
Across the period Singapore ran above the global benchmark on average (+~19% vs the global median of ~SGD 49.9). The gap was most extreme in Q3–Q4 2025: Singapore traded at roughly 45–73% above baseline in July–October and still ~19–46% above in November–December. That advantage flipped in parts of 2026: January–February were ~18% below baseline, and April–June sat ~24–31% below global medians. Singapore’s cost-per-purchase trajectory was substantially more volatile than the global trend — roughly six to seven times the baseline monthly variability — creating wider gaps as much as +73% and as deep as −31% month-to-month relative to the baseline.
Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance narratives all find echoes here: Singapore’s country-specific ad costs for all industries displayed concentrated seasonal peaks and deeper troughs than the global average, producing a distinctive, stop‑start cadence for industry ad performance.
Understanding Cost Per Purchase benchmarks for All industries in Singapore provides a clear picture of how country-specific ad costs can diverge from global patterns and why Singapore’s year looked both uplifted and more volatile across this advertising cycle.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Singapore, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
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Late January (Chinese New Year), October–December (Deepavali, National Day promotions, Christmas), Mid-year retail events
CPM and CPC may rise during Chinese New Year and Deepavali for gifting, food, and apparel. Good Friday, Hari Raya, and Vesak Day long weekends may change consumer behavior and media consumption. National Day promotions may raise ad costs in entertainment and tourism. Singapore's small, affluent market means events can affect retail.
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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and 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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