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

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Cost Per Purchase for Crypto & Blockchain in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • No observations are available for Crypto & Blockchain in the Philippines during the period analyzed, so country- and industry-specific cost-per-purchase benchmarks cannot be computed. The overview below summarizes the global baseline for directional context.
  • Globally, cost-per-purchase averaged 47.82 over Oct 2024–Sep 2025, peaking at 53.89 in February and bottoming at 32.29 in September. The first-to-last month change was -30.8%.
  • Volatility was moderate on average (about 3.25 points month-to-month), with a pronounced December spike (+19.3% vs. November) and a sharp September dip (-29.3% vs. August).
  • Seasonality is evident: costs typically rise into December (holiday period), remain elevated in early Q1, then ease through mid-year before a pronounced late-Q3 drop.

This analysis looks at cost-per-purchase trends for industry Crypto & Blockchain and target country Philippines compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Selected dataset: Crypto & Blockchain in the Philippines

  • Data availability: No monthly median values were recorded for this segment in the window provided.
  • Implication: Averages, highs/lows, volatility, and relative positioning versus the market cannot be calculated for the Philippines Crypto & Blockchain segment based on the current input.

Global baseline summary (all industries, all countries)

  • Average cost-per-purchase: 47.82 across 12 months.
  • High and low:
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • Range (spread): 21.60 points between the peak and trough.
  • Trend from start to end:
  • October 2024: 46.67
  • September 2025: 32.29
  • Percentage change: -30.8% from first to last month.
  • Volatility:
  • Average absolute month-to-month change: ~3.25 points.
  • Largest monthly moves:
  • November → December: +8.34 points (+19.3%).
  • August → September: -13.40 points (-29.3%).
  • May → June: -4.01 points.
  • Notable months:
  • December shows a clear holiday-driven uplift (51.53), maintained at elevated levels through January (52.31) and February (53.89).
  • A gradual step-down follows from March through August, culminating in a pronounced September low (32.29).

Seasonal patterns to note

  • Q4 holiday effect: Costs typically increase in Q4 around holiday periods, visible in the strong December rise from November.
  • Early Q1 buoyancy: January–February remain elevated after the holiday surge.
  • Mid-year easing: A steady cooling from spring into summer is apparent.
  • Late-Q3 correction: A significant dip in September marks the lowest point of the year.

Relative positioning versus the global market

  • Because there are no observations for Crypto & Blockchain in the Philippines during the period, it is not possible to classify the segment as above market, below average, or in line with overall trends. The global baseline should be treated as directional context until local data is available.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain and Philippines 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 Philippines, 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.

Philippines Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 29Chinese New Year
Apr 9Day of Valor
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 19Black Saturday
May 1Labour Day
Jun 6Eid'l Adha
Jun 12Independence Day
Aug 21Ninoy Aquino Day
Aug 25National Heroes Day
Nov 1All Saints' Day
Nov 30Bonifacio Day
Dec 8Immaculate Conception
Dec 24Christmas Eve
Dec 25Christmas Day
Dec 30Rizal Day
Dec 31New Year's Eve

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas and Rizal Day), June–August (Independence Day and National Heroes Day), Chinese New Year (January) and Eid observances

Potential Advertising Impact

CPM and CPC might rise around Chinese New Year, Eid, and Independence Day for food, gifts, and travel categories. Late November–December retail campaigns see strong competition and elevated CPMs. Long weekend holidays could reduce weekday ad inventory while weekend awareness campaigns benefit from higher media consumption.

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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