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Facebook Ads CTR Benchmarks in Singapore

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CTR (Click Through Rate) in Singapore

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all industries in Singapore, Facebook Ads click-through rate (CTR) spent most of the year tracking below the global benchmark, moving in a tight 0.85%–1.45% band before a dramatic late-year breakout. After a soft Q1 and uneven Q2, CTR firmed through Q3 and October—then spiked to 3.48% in November 2025, the clear outlier in an otherwise restrained year. 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.

The story in the data

Singapore’s CTR opened at 1.19% in November 2024 and ended at 3.48% in November 2025—up 193% year over year. Excluding November’s surge, the year mostly lived between 0.85% and 1.45%. The lowest months were April (0.85%) and February (0.86%), while October (1.45%) was the pre-spike high. The full-period average was 1.37%; without November, the 12‑month average was 1.19%.

Month-to-month movement was choppier than the global series. Average absolute monthly change in Singapore was 0.36 points (0.21 excluding November), versus 0.05 for the global benchmark. Notable swings included a +0.42 lift in March, a −0.43 dip in April, and the +2.03 leap in November. Before that November jump, the market alternated between modest gains and pullbacks: six up months and six down months from December through October.

Seasonal and monthly dynamics

The rhythm followed familiar seasonal beats—with a twist. Q1 was the trough: January (1.08%) slid into February’s low (0.86%) before a March rebound (1.28%). Q2 was uneven, anchored by April’s low (0.85%) and a May bounce (1.15%). Q3 stabilized at a higher plateau—1.42% in July, 1.40% in August, 1.33% in September—then October ticked up to 1.45%. Typically, performance softens as Q4 competition rises; here, CTR instead accelerated sharply, culminating in the 3.48% November spike that lifted the full-year average.

For context, global CTR showed a steadier climb: a low of 1.66% in February 2025 and a high of 2.04% in October–November, averaging 1.82% across the period.

Country vs. Global

Relative to Facebook Ads benchmarks worldwide, Singapore underperformed in 12 of 13 months. The average gap was −25% versus the global 1.82%. In the softer stretch (January–April), Singapore trailed by 35%–50%—notably −48% in February and −50% in April. The gap narrowed in Q3 as Singapore hovered just −25% to −30% below global levels; July was the closest month at roughly −25%. The divergence flipped in November 2025: Singapore’s 3.48% outpaced the 2.04% global median by about +70%.

Trend-wise, the global line rose steadily (+16% from November to November), while Singapore’s path was choppier: a modest +22% through October, then a one-month surge that redefined the year’s narrative. Volatility was materially higher in Singapore, with average monthly swings roughly four times the global series even before November’s jump.

Closing

Understanding Facebook Ads CTR performance for all industries in Singapore—set against global Facebook Ads benchmarks—highlights a year of below-market engagement punctuated by a standout November surge. These click-through rate benchmarks for all industries in Singapore provide a clear read on how country-specific performance compared to global patterns.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. 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. 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.

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

Singapore Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 29Chinese New Year Day 1
Jan 30Chinese New Year Day 2
Mar 31Hari Raya Puasa
Apr 18Good Friday
May 1Labour Day
May 12Vesak Day
Jun 7Hari Raya Haji
Aug 9National Day
Oct 20Deepavali
Dec 25Christmas Day

Key Shopping Season

Late January (Chinese New Year), October–December (Deepavali, National Day promotions, Christmas), Mid-year retail events

Potential Advertising Impact

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.

What is CTR and why does it matter for Facebook ads?

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.

What's the average CTR for Facebook ads in 2025?

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.

Why is my Facebook ad CTR consistently low?

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.

Is CTR still a reliable metric for ad performance in 2025?

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.