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Facebook Ads CTR Benchmarks in Singapore

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CTR (Click Through Rate) in Singapore

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Across 2025, Facebook Ads benchmarks show Singapore’s click‑through rate (CTR) running consistently below the global median, but building real momentum through the back half of the year. The year opened soft, dipped sharply in February, then climbed steadily to an October–November high before easing in December. Compared to the global baseline, Singapore’s pattern was more volatile, with bigger month‑to‑month swings and a wider annual range.

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

CTR performance in Singapore started at 1.15% in January, fell to its yearly low of 0.86% in February, and finished the year at 1.38% in December—about a 20% lift from the start. The annual high landed in November at 1.63%, just ahead of October’s 1.61%. Over the full year, Singapore’s CTR averaged 1.29%, spanning a range of 0.86–1.63% (a 0.77‑point spread). Seven of twelve months sat above the national average, concentrated from July onward.

The global benchmark traced a steadier arc: an average CTR of 1.84%, with a low of 1.66% in February and a high of 2.12% in December. Month‑to‑month movement averaged 0.07 points globally versus 0.18 points in Singapore, underscoring Singapore’s sharper swings. Notably, Singapore’s largest monthly moves came in early Q1 (−0.29 points in January→February, then +0.45 points in February→March) and again at year‑end (−0.25 points in November→December).

Seasonal and monthly dynamics

Seasonality was pronounced. Singapore saw a Q1 trough, with February the clear low. Q2 stabilized in a narrow band around 1.06–1.21%, then Q3 stepped higher, averaging 1.39% across July–September. The strongest stretch arrived in Q4: October (1.61%) and November (1.63%) set the peak before a December fade to 1.38%. Overall, H2 averaged 1.47% in Singapore—about 32% higher than H1’s 1.11%—highlighting a meaningful second‑half acceleration.

Globally, CTRs also softened early and strengthened into year‑end, but with a smoother climb and a pronounced December surge. H2 outpaced H1 globally as well (1.96% vs. 1.72%), though the shift was milder than Singapore’s.

Country vs. Global

Relative to the global benchmark, Singapore’s CTR underperformed throughout the year: 1.29% vs. 1.84% on average (about 30% lower). The gap was widest in February (−48% vs. global) and narrowest in November (−16%). During the fall run‑up, Singapore moved closer to global levels—September (−23%), October (−20%), and November (−16%)—before the spread re‑widened in December (−35%). Range and volatility were both higher in Singapore (0.77‑point range; 0.18‑point average monthly swing) than globally (0.46‑point range; 0.07‑point swing), resulting in a choppier year even as the second half improved.

Closing

In short, Facebook Ads CTR performance for all industries in Singapore trailed the global benchmark but gathered pace across H2, peaking in October–November and ending the year roughly 20% above January. Understanding click‑through‑rate benchmarks in Singapore—alongside industry ad performance patterns and country‑specific ad costs—helps situate local CTR performance within broader global trends.

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.