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Facebook Ads Cost Per Purchase Benchmarks for Finance in Philippines

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

Cost Per Purchase for Finance in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for the Finance industry in the Philippines compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No monthly observations were available for the selected segment (Finance, Philippines) in the provided period, so comparisons to the global baseline are directional rather than numeric.
  • Globally, median cost-per-purchase averaged 47.82 over the last 12 months, peaking in February (53.89) and bottoming in September (32.29). From October to September, costs fell 30.8%.
  • Seasonality is evident: costs rise into December–February and ease through mid‑year, with a sharp dip in September. Overall volatility is moderate, with an average month‑to‑month move of about 3.25, but September saw an outlier decline.

What the data covers

  • Metric: cost-per-purchase (median, monthly)
  • Selected segment: Finance industry, Philippines
  • Baseline: global/ALL industries and countries
  • Period: Oct 2024 to Sep 2025 (12 months)
  • Context: Facebook Ads benchmarks and country-specific ad costs for performance marketers

Global baseline overview

  • Average: 47.82 across the period.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • First vs last month: 46.67 (Oct 2024) to 32.29 (Sep 2025), a decline of 30.8%.
  • Volatility:
  • Average absolute month-to-month change: ~3.25.
  • Largest monthly swing: −13.40 from August to September (roughly −29% vs August).
  • Smallest monthly shift: −0.52 from July to August.
  • Seasonal pattern:
  • Q4 into Q1 uplift: costs climbed from November (43.19) to a holiday/early‑year high across December (51.53) and February (53.89).
  • Gradual easing: May (50.97) to August (45.69).
  • Sharp late‑Q3 dip: September (32.29), the lowest point in the series.

Selected segment vs baseline

  • Data availability: No selected_data points were recorded for Finance in the Philippines during the provided period. As a result, we cannot quantify whether the segment is above market, below average, or in line with overall trends.
  • Directional context: If the segment follows global seasonality, marketers could expect higher cost-per-purchase around late Q4–Q1 and softer levels mid‑year; however, the September drop in the global series is unusually pronounced versus typical seasonality.

Summary

In the absence of segment observations for Finance in the Philippines, the global baseline offers a clear directional benchmark: cost-per-purchase averaged 47.82, peaked in February (53.89), and trended down to a low in September (32.29), with a 30.8% decline from October to September and moderate overall volatility. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Finance 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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.