See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Singapore’s Cost Per Purchase ran consistently above the global benchmark across much of the 13‑month window, but it moved with much greater 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.
At a glance: Singapore started at a high CPP of 84.30 in June 2025 and finished lower at 52.21 in June 2026 (a −38% change). The global baseline averaged roughly 48.18 across the same months, making Singapore about 30% higher on average — yet far more volatile month to month.
Singapore’s median Cost Per Purchase averaged about 62.5 over the period, with a peak of 91.91 in September 2025 and a trough of 29.73 in May 2026. By contrast, the global baseline averaged ~48.2, peaking at ~55.54 in March 2026 and falling to a low of 25.50 in June 2026.
Key movements: after a summer run (June–October 2025), CPP in Singapore retreated sharply in November (−36% vs. October), rebounded in December, then collapsed by about 45% into January 2026. A dramatic spike of roughly +74% occurred from February to March 2026, followed by a >50% drop into April. The full peak‑to‑trough swing in Singapore was nearly −68% (Sept ’25 → May ’26).
Volatility matters: Singapore’s standard deviation across months is approximately 21.4 (about 34% of its mean), while the global benchmark’s monthly SD is ~7.4 (about 15% of its mean). That makes Singapore roughly three times more volatile in cost per purchase than the baseline.
The rhythm shows clustered highs around late Q3 and early Q4 2025, then softening into the holidays and a steeper-than-normal winter trough in January 2026. Late‑winter to early‑spring (Feb–Mar 2026) produced an outsized rebound, followed by a steep April decline and a low point in May. June 2026 shows a partial recovery.
These swings create a jagged seasonal profile rather than a smooth Q4 ramp or Q1 trough alone. Where global CPPs are relatively steadier with modest seasonal shifts, Singapore’s month‑to‑month swings create several sharp spikes and rebounds across the year.
Across the 13 months, Singapore exceeded the global baseline in 8 months and fell below it in 5 months. On average Singapore’s CPP was about 29.8% above the global benchmark. At its narrowest gap some months were within low single‑digit differences, but at extremes Singapore ran materially higher — for example March 2026 saw Singapore ~30% above the global peak, while June 2026 showed Singapore more than double the baseline (52.21 vs 25.50), a >100% gap.
Relative terms: the global trend is steadier (average change smaller, SD ~7.4), while Singapore’s story is choppier — larger monthly jumps (several months >50% moves) and a full‑period decline of about −38% from the opening month to the close.
Understanding Cost Per Purchase benchmarks for All industries in Singapore provides a data‑grounded view of how country‑specific ad costs diverge from global Facebook Ads benchmarks. This CPP analysis highlights a higher average Cost Per Purchase, pronounced month‑to‑month volatility, and distinct seasonal spikes for All industries 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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