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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining in Singapore

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

Cost Per Purchase for Energy and Mining in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Scope and context: This analysis looks at cost-per-purchase trends for industry Energy and Mining 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.
  • Data availability: No qualified observations were available for Energy and Mining in Singapore during the period, so comparisons to the global baseline are not possible. All figures below reference the global baseline.
  • Global baseline level: The 12‑month global median cost-per-purchase averaged about 47.8, peaking at 53.9 in February 2025 and bottoming at 32.3 in September 2025.
  • Trend and change: From October 2024 (46.7) to September 2025 (32.3), the global baseline fell 30.8%, with the sharpest single-month drop in September 2025 (−29.3% vs. August).
  • Seasonality: Costs rose into late Q4 and Q1 (December–February) and generally softened through mid-year, consistent with typical holiday-driven pressure in Q4 followed by a spring/summer cooldown.

Dataset and scope

  • Metric: cost-per-purchase (median by month).
  • Industry: Energy and Mining.
  • Country: Singapore (no selected_data available for the period).
  • Baseline: global median series used for directional benchmarking.

Selected data overview (Energy and Mining, Singapore)

  • Data status: The selected_data time series is empty for this window. As a result, averages, highs/lows, month-to-month volatility, and seasonal markers for Singapore cannot be computed.
  • Relative positioning: With no observations, we cannot assess whether Singapore is above market, below average, or in line with overall trends.

Global baseline benchmarks

  • Average (12 months): 47.8
  • High: 53.9 in February 2025
  • Low: 32.3 in September 2025
  • Range: 21.6 points
  • First-to-last change: −30.8% (46.7 in October 2024 to 32.3 in September 2025)
  • Volatility:
  • Average month-to-month absolute move: ~3.3 points
  • Largest move: −13.4 points in September 2025 (−29.3% vs. August)

Notable monthly movements and seasonality

  • Q4/Q1 pressure:
  • November 2024 dipped to 43.2 (−7.5% vs. October), followed by a holiday lift in December to 51.5 (+19.3% vs. November).
  • The peak occurred in February 2025 at 53.9, with January (52.3) and March (52.6) remaining elevated.
  • Gradual moderation:
  • April–August 2025 eased from 51.6 to 45.7, including a notable June step-down (−7.9% vs. May).
  • Sharp late-Q3 drop:
  • September 2025 fell to 32.3 (−29.3% vs. August), the lowest point in the period.

Comparison to the global baseline

  • Because the selected Energy and Mining data for Singapore is unavailable in this period, a direct comparison—averages, highs/lows, or volatility—cannot be made. The global series indicates elevated costs around December–February and softer conditions in mid-year, culminating in a pronounced September low. Without local data, positioning for Singapore relative to “market” (above, below, or in line) cannot be determined for this window.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Energy and Mining 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 Energy and Mining 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.