Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks in Singapore

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Across the period, Singapore’s cost per purchase averaged 52.33, sitting about 6% above the global baseline (49.24), but with far higher month-to-month swings.
  • The typical month in Singapore was actually below the global level: median 40.78 vs. global 50.97, with Singapore above market in only 3 of 11 months (Oct, Nov, Mar).
  • Volatility was pronounced: average absolute month-to-month change was 41% in Singapore vs. 4.8% globally.
  • Clear seasonality appeared: a Q4 spike (notably October), a steady decline into mid-year with a July trough, and an August rebound. The global trend showed a mild lift from December–February and otherwise remained stable.

This analysis looks at cost per purchase trends for industry All industries available 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.

Selected market overview

  • Average and central tendency: The Singapore series averaged 52.33 with a median of 40.78, indicating a skew from early high months.
  • Highs and lows: Peak CPP occurred in October 2024 at 152.60; the lowest point was July 2025 at 22.89. The overall range was wide (about 129.71).
  • Trend and percent change: From the first to the last month (Oct 2024 to Aug 2025), CPP fell 73%, highlighting a significant normalization after a Q4 surge.
  • Volatility and notable moves:
  • Sharp declines: Oct→Nov (-47%), Nov→Dec (-37%), Dec→Jan (-27%), Jan→Feb (-25%).
  • Spikes: Feb→Mar (+102%) and Jul→Aug (+78%).
  • Mid-year softness: May (30.19), June (33.25), and July (22.89) marked the lowest stretch.

Comparison with the global baseline

  • Level comparison: Singapore’s average CPP (52.33) was modestly above the global 49.24. However, the median was lower than global (40.78 vs. 50.97), underscoring that a few elevated months lifted the average.
  • Highs and lows (global): Baseline peaked in February 2025 at 53.89 and bottomed in November 2024 at 43.19—a much narrower range and steadier profile than Singapore.
  • Stability: The baseline’s average absolute month-to-month change was 4.8%, versus 41% in Singapore. Globally, CPP declined just 2% from Oct 2024 to Aug 2025.
  • Month-by-month positioning:
  • Above market: Oct (+227% vs. baseline), Nov (+87%), Mar (+7%).
  • In line: Dec (~-2% vs. baseline).
  • Below market: Jan through Feb, and Apr through Aug, with gaps ranging from -11% to -51%.

Seasonality and pattern recognition

  • Singapore shows a pronounced Q4 spike, with costs easing through Q1 and Q2, bottoming in July, and rebounding in August—consistent with holiday-driven competition followed by mid-year efficiencies.
  • The global trend exhibits mild seasonality with a lift from December through February and relatively stable costs afterward, indicating Singapore’s movements were more extreme than the global pattern.

Monthly highlights

  • October 2024: Local peak at 152.60; far above market.
  • February–March 2025: A sharp rebound (+102% month over month), briefly pushing above the global level.
  • July 2025: Cycle low at 22.89; August recovery to 40.78.

Understanding cost per purchase benchmarks on Facebook Ads in industry All industries available 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. 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. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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's a healthy cost per purchase for ecommerce brands?

It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.

How does product price impact CPA benchmarks?

Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.

Why are my purchase costs going up despite stable ROAS?

Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.

Should I use manual bidding to control CPA more effectively?

Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.