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Facebook Ads Cost Per Lead Benchmarks for Consulting in Singapore

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

Cost Per Lead for Consulting in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-lead benchmarks: Consulting in Singapore vs global

This analysis looks at cost-per-lead (CPL) trends for industry Consulting 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.

Main takeaways

  • Overall positioning: Consulting in Singapore averaged a CPL of 1,120.38 across Nov 2024–Feb 2025, which is 28.8x the global baseline over the same period (38.90). The gap is driven by extreme Q4 spikes.
  • Volatility: Month-to-month swings in Singapore were very large (-18.1% in Dec, -99.7% in Jan, +1,046% in Feb), versus the baseline’s modest moves (about ±10%).
  • Seasonal pattern: A pronounced Q4 spike (Nov–Dec) in Singapore was followed by a sharp January correction, then a February rebound—consistent with typical holiday season effects observed in the global data.
  • Relative to market:
  • Nov: 58.3x above baseline
  • Dec: 50.1x above baseline
  • Jan: 84% below baseline
  • Feb: 71% above baseline

Singapore Consulting CPL: highlights from the selected data

  • Average: 1,120.38
  • Median: 1,025.72
  • High: 2,424.27 (Nov 2024)
  • Low: 5.81 (Jan 2025)
  • Change from first to last month (Nov → Feb): -97.3%
  • Notable movements:
  • Nov → Dec: -18.1% (from 2,424.27 to 1,984.93)
  • Dec → Jan: -99.7% (to 5.81, a dramatic dip)
  • Jan → Feb: +1,046% (to 66.52, a rebound but still far below Q4)
  • Interpretation: The series is dominated by very high Q4 CPLs, followed by a sharp normalization in January and partial recovery in February. This indicates exceptionally high volatility in the Singapore Consulting segment during the period.

Baseline (global) CPL: context and seasonality

  • In-period average (Nov 2024–Feb 2025): 38.90
  • High/low in-period: 41.58 (Nov 2024) / 35.54 (Jan 2025)
  • Change Nov → Feb: -6.5%
  • Month-to-month:
  • Nov → Dec: -4.7%
  • Dec → Jan: -10.3%
  • Jan → Feb: +9.4%
  • Broader baseline context (full series provided): average 35.80; range 20.63–41.58, with a typical Q4 lift (Nov–Dec) and softer levels in early Q1.

Selected vs baseline: where Singapore stands

  • Average gap: Singapore Consulting CPL (1,120.38) vs global (38.90) = 28.8x above market in the observed window.
  • Monthly relative position:
  • Nov 2024: 2,424.27 vs 41.58 → 58.3x above market
  • Dec 2024: 1,984.93 vs 39.63 → 50.1x above market
  • Jan 2025: 5.81 vs 35.54 → 84% below market
  • Feb 2025: 66.52 vs 38.86 → 71% above market
  • Volatility comparison: Singapore’s CPL fluctuated far more than the global trend, which stayed “in line” with expected seasonal shifts.

What this means for benchmarking

The Singapore Consulting CPL series shows an outsized Q4 surge and a sharp January reset, while the global benchmark reflects moderate Q4 increases and limited month-to-month variation. Overall, Singapore traded well above market in Q4, fell below average in January, and settled above market in February.

Understanding cost-per-lead benchmarks on Facebook Ads in industry Consulting 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 Consulting 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.