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Facebook Ads Cost Per Purchase Benchmarks for Crypto & Blockchain in Singapore

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Cost Per Purchase for Crypto & Blockchain in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Overview and key takeaways

  • No selected data points were provided for Crypto & Blockchain in Singapore during the period, so a direct comparison to the global baseline cannot be calculated. The analysis below anchors on the global trend from our dataset.
  • Across the global baseline, the average cost-per-purchase was 47.82 over the last 12 months, peaking at 53.89 in February 2025 and bottoming at 32.29 in September 2025.
  • From the first month (October 2024) to the last (September 2025), cost-per-purchase fell by 30.8%, indicating a broad downtrend after early-year highs.
  • Volatility averaged about 7.0% month-to-month in absolute terms, with a notable +19.3% spike in December and a -29.4% drop in September.
  • Seasonal pattern: costs rose into December and remained elevated through February, then eased steadily through spring and summer before a sharp correction in September.

This analysis looks at cost-per-purchase trends for industry Crypto & Blockchain 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.

What was analyzed

  • Metric: cost-per-purchase (median by month)
  • Selected segment: Crypto & Blockchain in Singapore
  • Baseline: global (all industries and countries)

Selected segment data availability

  • The selected_data for Crypto & Blockchain in Singapore contains no monthly observations in the provided period. As a result, averages, highs/lows, and volatility for this segment cannot be computed, and a relative “above/below market” positioning versus the baseline is not determinable from the supplied data.

Global baseline trend

  • Average: 47.82 across the 12-month window.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • First-to-last change: from 46.67 in October 2024 to 32.29 in September 2025, down 30.8%.
  • Notable moves:
  • November 2024 dipped to 43.19, followed by a strong December jump to 51.53 (+19.3% month-over-month).
  • Elevated levels persisted into January (52.31) and February (53.89, the peak).
  • From March (52.61) through August (45.69), costs trended down in small steps.
  • September posted a sharp decline to 32.29 (-29.4% vs. August).

Volatility profile

  • Average absolute month-to-month change: approximately 7.0%.
  • Excluding the September drop, the typical month-to-month absolute change was about 4.7%, indicating generally stable costs outside the outlier month.
  • The largest positive swing was December; the largest negative swing was September.

Seasonality signals

  • The data shows a clear holiday and early Q1 effect: costs rose into December and stayed elevated through February, consistent with heavier competition during peak buying periods.
  • Gradual easing from March through August aligns with a softer mid-year environment before the abrupt September reset.

Relative positioning vs. global baseline

  • With no observations for Crypto & Blockchain in Singapore, relative positioning (“above market,” “below average,” or “in line with overall trends”) cannot be determined. The global baseline provides context on how Facebook Ads cost-per-purchase typically evolved over the same period.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain 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 Crypto & Blockchain 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'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.

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