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Facebook Ads CTR Benchmarks in Singapore

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CTR (Click Through Rate) in Singapore

December 2024 - December 2025

Insights

Detailed observation of presented data

Introduction

Singapore’s Facebook Ads click-through rate (CTR) spent most of the year under the global benchmark, then staged a sharp year-end surge that flipped the story. After a soft first half and a steady mid-year rebuild, CTR accelerated in Q4 and finished well above the worldwide median in December. Volatility was a defining feature: Singapore swung more dramatically month to month than the global curve, with several pronounced spikes and dips.

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

  • Starting point vs. finish: Singapore’s median CTR opened at 1.22% in December 2024 and closed at 2.94% in December 2025—up 141% year over year.
  • Average level: Across the 13-month window, Singapore averaged 1.39% CTR, trailing the global average of 1.84% by roughly 25%.
  • Highs and lows: The local low came in April (0.85%), while the high was December (2.94%). The global series ranged more narrowly, from 1.66–2.21%.
  • Volatility: Month-to-month shifts in Singapore averaged 0.31 percentage points, over 4x the global benchmark’s 0.07 points—evidence of a choppier local market.

Key movements marked the year’s rhythm:

  • Jan → Feb fell 21% (1.08% to 0.86%), then Feb → Mar rebounded 51% to 1.30%.
  • Mar → Apr slipped 35% to the year’s low (0.85%), followed by a 36% lift by July (1.42%).
  • A mild slide in late summer gave way to Q4 acceleration: Oct → Nov +34% (to 2.00%), then Nov → Dec +47% (to 2.94%).

Seasonal and monthly dynamics

The first half was subdued. Q1 averaged 1.08% and Q2 dipped slightly to 1.01%, with April marking the trough. Mid-year stabilized: Q3 rose to a 1.38% average as July and August held in the 1.32–1.42% range. The inflection arrived in Q4. October edged higher (1.50%), November broke the 2% line, and December peaked at 2.94%. The pattern aligns with a broad return of user engagement late in the year, with Singapore’s curve showing a steeper Q4 lift than earlier months suggested.

Country vs. Global

Relative to Facebook Ads benchmarks globally, Singapore’s CTR underperformed for most of the year but closed the gap decisively at the end:

  • On average, Singapore trailed the global median by about 25%.
  • The widest gap appeared in April, when Singapore sat 50% below the world median (0.85% vs. 1.71%).
  • The gap narrowed through the second half: by November, Singapore edged 3% above global (2.00% vs. 1.95%); in December, it led by 33% (2.94% vs. 2.21%).
  • Trend shape: the global line climbed steadily (+31% from Dec 2024 to Dec 2025), while Singapore rose more sharply (+141%) with materially higher month-to-month variance.
  • Over the period, Singapore was below the global benchmark in 11 of the first 12 months, then moved above market in the final two.

Closing

Overall, these Facebook Ads CTR performance benchmarks show a Singapore market that was softer and more volatile than the global average for most of the year, followed by a decisive Q4 breakout. Understanding click-through-rate benchmarks for all industries in Singapore—alongside complementary CPC trends and CPM analysis for country-specific ad costs—helps advertisers evaluate engagement dynamics and compare results 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.