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Facebook Ads Cost Per Lead Benchmarks for Textiles in Singapore

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead for Textiles in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Textiles in Singapore shows consistently higher cost-per-lead (CPL) than the global baseline. The median CPL averaged 64.5 across the period vs 36.6 globally—about 76% above market.
  • Volatility is elevated. Average month-to-month absolute change was roughly 46% in Singapore vs 13% globally.
  • Seasonal pattern is evident: a Q4 climb from October into November and December for Singapore, while the global trend peaks in November and eases in December.
  • February 2025 stands out as an outlier surge for Singapore (104.3), running 168% above the global median that month.

This analysis looks at cost-per-lead trends for industry Textiles and target country Singapore compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Trend overview: Textiles in Singapore (selected data)

  • Timeframe: Sep 2024–Feb 2025 (monthly medians)
  • Average CPL: 64.5
  • High: 104.3 in Feb 2025
  • Low: 39.4 in Oct 2024
  • Change from first to last month: +95% (53.4 in Sep 2024 to 104.3 in Feb 2025)

Month-to-month movements:

  • Sep → Oct: −26% dip to the period low (39.4)
  • Oct → Nov: +60% rebound (62.9)
  • Nov → Dec: +18% rise to 73.9
  • Dec → Jan: −28% pullback to 53.2
  • Jan → Feb: +96% spike to the period high (104.3)

Interpretation for marketers: the Singapore Textiles CPL series is volatile, with pronounced swings around seasonal peaks and a sharp Q1 surge.

Global baseline (for the same overlapping months)

  • Average CPL: 36.6
  • High: 41.6 in Nov 2024
  • Low: 31.1 in Oct 2024
  • Change from first to last month: +18% (32.9 in Sep 2024 to 38.9 in Feb 2025)
  • Volatility (avg absolute MoM change): ~13%
  • Seasonality: an increase into November followed by a slight December softening, then a modest February lift.

How Singapore Textiles compares to the global benchmark

  • Level comparison by month:
  • Sep: 62% above market
  • Oct: 27% above
  • Nov: 51% above
  • Dec: 87% above
  • Jan: 50% above
  • Feb: 168% above
  • Overall average gap: +76% versus the global mean.
  • Peaks and troughs:
  • Singapore’s peak (104.3) is about 2.5x the global peak (41.6).
  • Even Singapore’s low (39.4) sits above the global low (31.1).

Seasonality and volatility

  • Singapore Textiles shows a Q4 build-up (Oct → Nov → Dec), aligning directionally with the global rise into November. However, Singapore continues to rise into December while the global baseline cools slightly.
  • The standout divergence occurs in February 2025: Singapore jumps +96% month-over-month to its high, while the global median edges up only +9%. This magnifies the spread to its widest point.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Textiles and Singapore helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the Textiles 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. 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 considered a good cost per lead on Facebook in 2025?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.

How can I generate leads at a lower cost without hurting lead quality?

Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.