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Facebook Ads CTR Benchmarks for Textiles in Philippines

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CTR (Click Through Rate) for Textiles in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Textiles in the Philippines vs global

This analysis looks at click-through-rate 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.

  • Overall positioning: Across the overlapping months, the Philippines Textiles average CTR is 5.00%, about 2.9x above the global baseline (1.73%). This is driven by a one-off spike in March 2025.
  • Underlying Q4 level: In Q4 2024, the Philippines averages 1.01% CTR, which is 42% below the global benchmark of 1.73%—clearly below market.
  • Volatility: Q4 is stable within roughly ±10%, then March 2025 jumps to 16.98% (+1,641% vs December), an extreme outlier.
  • Seasonality: The global baseline softens into December and then gradually lifts through spring and summer, peaking in late Q3. The Philippines series shows no clear seasonal pattern due to limited months and the March surge.

Selected data overview: Textiles in the Philippines

  • Period covered: Oct 2024, Nov 2024, Dec 2024, Mar 2025 (monthly medians).
  • Average: 5.00%; median: 1.03%.
  • High/low: High at 16.98% (Mar 2025); low at 0.98% (Dec 2024).
  • First-to-last change: +1,634% (Oct 2024 to Mar 2025).
  • Month-to-month moves:
  • Oct → Nov: +9.5% (0.98% to 1.07%).
  • Nov → Dec: −9.0% (1.07% to 0.98%).
  • Dec → Mar: +1,641% (0.98% to 16.98%).
  • Q4 2024 snapshot: Average 1.01%, narrow range (0.98%–1.07%), signaling stable engagement before the March spike.

Global baseline comparison

  • Overlapping months average: 1.73% (Oct 2024, Nov 2024, Dec 2024, Mar 2025).
  • High/low (overlapping months): High 1.76% (Oct 2024), low 1.69% (Dec 2024).
  • Month-to-month moves: Oct → Nov −1.1%, Nov → Dec −2.8%, Dec → Mar +2.7%.
  • Relative positioning:
  • Q4 2024: Philippines at 1.01% vs global 1.73% (42% below market).
  • March 2025: Philippines at 16.98% vs global 1.74% (~9.8x above market).
  • Overall (overlapping months): Philippines average 2.9x above baseline due to March’s outlier.
  • Broader baseline trend (full series provided): Low 1.67% (Feb 2025), high 2.12% (Sep 2025); first-to-last change Oct 2024 → Sep 2025: +20%. The baseline indicates gradual uplift from spring through late summer.

Seasonality and volatility signals

  • Philippines Textiles: Q4 CTRs are steady around 1.0%, then an abrupt, exceptional March peak. With missing data for Jan–Feb 2025, seasonality can’t be fully established, but the spike stands out as an anomaly versus prior months.
  • Global baseline: Slight softening into December, followed by a progressive rise into late Q3 (Aug–Sep), suggesting higher CTRs mid-to-late year.

Notable spikes and dips

  • The standout movement is March 2025 in the Philippines (16.98%), which is far above both earlier local readings and the global norm for that month (1.74%). Before that, the market tracked below the global benchmark and was comparatively stable.

Understanding click-through-rate 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

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. 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. 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. 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 is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.