See how your CTR stacks up. Explore industry, regional, and campaign-type benchmarks with Superads.
October 2024 - October 2025
Detailed observation of presented data
We summarize Facebook Ads click-through-rate benchmarks for Manufacturing in Singapore (“selected data”) against the global baseline. The period spans October 2024 to August 2025 for the selection, aligned to the same months for the baseline.
The selected CTR series for Manufacturing in Singapore sits below average globally, with sharper swings, a deep November dip, and a Q2 peak that temporarily moves above market. Understanding click-through-rate benchmarks on Facebook Ads in industry Manufacturing and Singapore helps advertisers make more efficient budget and creative choices.
Insights & analysis of Facebook advertising costs
Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the Manufacturing industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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. Why we use median instead of average 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. 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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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.
CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.
The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.
Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.
Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.
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