Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Retail in Singapore

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

Cost Per Purchase for Retail in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Retail 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.
  • Retail in Singapore sits below market overall: the selected series averages 38.0 versus the global baseline’s 49.2, about 23% lower across the same months (Oct 2024–Aug 2025).
  • Volatility is high in Singapore (average absolute month-over-month change of 37%) versus a far steadier global pattern (about 5% MoM).
  • A sharp Q4-to-Q1 decline and mid-year dip are evident in Singapore, while the global baseline shows relatively stable costs with a modest lift from December through February.
  • Singapore started above market in October–November, then tracked well below market from December onward.

Overview of the selected trend (Retail, Singapore)

  • Timeframe: October 2024 to August 2025 (monthly medians).
  • Average: 38.0
  • High and low:
  • Highest month: October 2024 at 115.48
  • Lowest month: July 2025 at 16.64
  • Trend and change:
  • From October 2024 (115.48) to August 2025 (26.72), cost per purchase decreased by 76.9%.
  • The range is wide (≈98.84), reflecting large swings throughout the period.
  • Volatility:
  • Average absolute month-to-month change: 37%.
  • Notable swings include a -54.5% drop from November to December, a +79.4% jump from March to April, a -51.2% drop from April to May, and a +60.5% rise from July to August.
  • Seasonality:
  • Costs fell through Q4 into Q1 (October’s peak declining to January’s 22.21), a spike in April (46.76), a mid-year low in July, then a rebound in August (26.72).

Comparison with the global baseline

  • Baseline timeframe used for comparison: October 2024 to August 2025.
  • Baseline average: 49.2 (selected is ~23% below).
  • Baseline high and low:
  • Highest month: February 2025 at 53.89
  • Lowest month: November 2024 at 43.19
  • Baseline trend and change:
  • From October 2024 (46.67) to August 2025 (45.69), the baseline decreased slightly by 2.1%.
  • Range is narrow (≈10.70), indicating stability.
  • Relative positioning by month:
  • Above market in October (+147%) and November (+47.5%).
  • Below market from December onward (e.g., January -57.5%, April -9.3%, July -64.0%).
  • Volatility comparison:
  • Selected: 37% average absolute MoM change.
  • Baseline: 4.7% average absolute MoM change.
  • Conclusion: Singapore Retail shows far more fluctuation than the global trend.

Seasonal patterns and notable months

  • Q4: While the market typically tightens and costs often rise during holiday periods, Singapore peaked early (October) and then fell sharply into December.
  • Q1–Q2: The global trend stayed elevated and steady, but Singapore remained well below market levels, with an April spike that quickly reverted in May.
  • Mid-year: July marked the lowest point in Singapore, followed by a sharp August rebound, yet still below the global average.

Understanding cost per purchase benchmarks on Facebook Ads in industry Retail 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 Retail 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.

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.