Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Manufacturing in Singapore

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

Cost Per Purchase for Manufacturing in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase (CPP) trends for industry Manufacturing 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.
  • Across Feb–Jul 2025, the selected CPP averaged 204.68, which is about 4.1x above the global baseline average of 50.37 (+306%). The selected series is therefore well above market.
  • Volatility is high in the selected data: average month-to-month change of roughly 74% in percentage terms, versus about 3% for the baseline.
  • Notable seasonality: the global baseline shows a mild uplift Dec–Feb and easing into summer; the selected series shows a sharp spike in March, a low in May, and a rebound into July.

Overview of the selected trend

  • Period covered: Feb–Jul 2025 for Manufacturing in Singapore.
  • Average: 204.68; median: 150.37.
  • High/low:
  • High: 515.00 in March 2025 (largest spike).
  • Low: 43.32 in May 2025 (largest dip).
  • Range: 471.68 between the high and low.
  • Month-to-month movement (levels): average absolute change ≈ 156.66.
  • Month-to-month movement (percent): average absolute change ≈ 74%.
  • First-to-last month change: down 54.6% from February (293.30) to July (133.22).
  • Notable dynamics:
  • February to March surged +76% (293.30 to 515.00).
  • March to May fell steeply, -68% then -74% month over month.
  • May to July recovered strongly, +75% then +76%.

Comparison with the global baseline

To make a like-for-like comparison, we align on Feb–Jul 2025:

  • Baseline average: 50.37; median: 51.27.
  • Baseline high/low in this window: 53.89 (Feb 2025) and 46.21 (Jul 2025).
  • Baseline first-to-last change (Feb to Jul): -14.2%.
  • Baseline volatility:
  • Average absolute month-to-month change (levels): ≈ 1.54.
  • Average absolute month-to-month change (percent): ≈ 3%.

Relative positioning by month:

  • February: 5.44x above baseline.
  • March: 9.79x above baseline (peak differential).
  • April: 3.25x above baseline.
  • May: 0.85x baseline (the only month below the global benchmark).
  • June: 1.61x above baseline.
  • July: 2.88x above baseline.

Across the full baseline timeline provided (Sep 2024–Sep 2025), the global series peaks around 53.89 (Feb 2025) and reaches a low of 32.29 (Sep 2025), reinforcing a mild seasonal uplift into late Q4/early Q1 and softening later.

Seasonality and volatility context

  • Baseline seasonality: costs tend to be slightly higher from December through February, easing into mid-year—consistent with holiday-period competitiveness.
  • Selected pattern: a distinct March spike, a pronounced May trough, and a partial rebound by July. Overall, volatility is much higher than the global market, with large month-to-month swings.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Manufacturing 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 Manufacturing 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.