Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Textiles in Philippines

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

Cost Per Purchase for Textiles in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • The Textiles industry in Philippines shows cost-per-purchase levels well above market in Q4 2024—about 2.53x the global baseline on average.
  • Clear Q4 seasonality is present: costs climbed steadily from October to December, with a +69.6% increase from the first to the last month in the selected series versus a +10.4% rise globally.
  • Volatility is higher than the global benchmark: average month-to-month change was ~30% in the selected data versus ~13% in the baseline.
  • December is the cost peak for both series, but the Philippines Textiles spike is substantially larger.

This analysis looks at cost-per-purchase trends for industry Textiles 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 trend highlights (Textiles, Philippines)

  • Period covered: October–December 2024.
  • Average cost-per-purchase: 119.29.
  • High and low: high of 152.40 in December; low of 89.85 in October (range 62.55, ~52% of the mean).
  • Month-to-month changes:
  • Oct → Nov: +25.78 (+28.7%).
  • Nov → Dec: +36.77 (+31.8%).
  • Average absolute MoM change: ~30.2%.
  • First-to-last month change: +69.6% (Oct to Dec).
  • Notable spike: December 2024 at 152.40, marking the quarterly high and a strong Q4 surge.

Global baseline benchmark

  • Q4 2024 average: 47.13.
  • High and low in Q4 2024: high of 51.53 in December; low of 43.19 in November (range 8.34).
  • Month-to-month changes:
  • Oct → Nov: −7.5%.
  • Nov → Dec: +19.3%.
  • Average absolute MoM change: ~13.4%.
  • First-to-last month change: +10.4% (Oct to Dec).
  • Extended view: baseline levels enter 2025 around the low-50s, easing through the year with a low of 32.29 in September 2025.

How the selected data compares to the global baseline

  • Relative level:
  • Average: 119.29 vs 47.13 (about 2.53x higher; clearly above market).
  • By month:
  • October: 1.93x the baseline (89.85 vs 46.67).
  • November: 2.68x (115.63 vs 43.19).
  • December: 2.96x (152.40 vs 51.53).
  • Volatility:
  • Selected series: ~30% average MoM change.
  • Baseline: ~13% average MoM change.
  • The Philippines Textiles series is over 2x more volatile than the global trend for the same period.
  • Seasonal pattern:
  • Both series reflect typical Q4 pressure, with December costs higher.
  • The selected series shows a stronger Q4 ramp than the global baseline, moving from below the December gap in October (1.93x) to the widest gap in December (2.96x).

Summary

Across Q4 2024, Facebook Ads cost-per-purchase for Textiles in Philippines ran significantly above the global benchmark, with higher volatility and a pronounced December peak. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Textiles 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 Textiles 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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