Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for E-commerce in Philippines

See how your CTR stacks up. Explore industry, regional, and campaign-type benchmarks with Superads.

CTR (Click Through Rate) for E-commerce in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at click-through-rate trends for industry E-commerce and target country Philippines compared to the global trend. It is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected data’s average click-through-rate (CTR) is 2.10%, about 18% above the global baseline average of 1.78% across the same months.
  • CTR in the Philippines shows higher volatility than the global trend, with an average month-to-month move of 0.30 percentage points (pp) versus 0.05 pp globally.
  • Seasonality stands out: a dip from December to February, a sharp rebound in March, sustained strength through June, then a mid-year cooldown in July–August.

Overview of the selected time series

  • Period covered: Oct 2024–Aug 2025 (monthly medians).
  • Average CTR: 2.10%.
  • High/low: Peak at 2.70% in March 2025; low at 1.53% in February 2025.
  • First-to-last change: From 2.12% (Oct 2024) to 1.98% (Aug 2025), a 6.5% decline.
  • Volatility: Average absolute month-to-month change of 0.30 pp.
  • Notable movements:
  • Largest spike: +1.16 pp from February to March (1.53% to 2.70%).
  • Largest pullback: −0.55 pp from June to July (2.44% to 1.89%).
  • Seasonal pattern: Lower engagement in late Q4 and early Q1 (Dec–Feb), followed by a strong rebound in March and elevated performance through early summer, easing in July–August.

Comparison against the global baseline

  • Average level: The Philippines E-commerce CTR (2.10%) is 18% above the baseline (1.78%) over Oct 2024–Aug 2025.
  • High/low:
  • Global high (overlapping period): 2.02% in August 2025; global low: 1.67% in February 2025.
  • The selected market’s peak (2.70% in March) sits well above the global peak in the same window.
  • Trend and momentum:
  • Selected series: Slightly downward from first to last month (−6.5%).
  • Baseline: Clear upward path from 1.76% (Oct 2024) to 2.02% (Aug 2025), a 14.7% increase; it continues to 2.12% in September 2025.
  • Volatility:
  • Selected market: 0.30 pp average month-to-month change.
  • Baseline: 0.05 pp average month-to-month change.
  • Interpretation: The selected market is materially more volatile than the overall trend.
  • Relative positioning by month:
  • Above market in 8 of 11 months (notably Oct, Nov, Dec, Jan, Mar, Apr, May, Jun).
  • Dips below in February (−0.14 pp), July (−0.02 pp), and August (−0.04 pp), signaling a mid-year convergence toward global norms.

Seasonality and patterns marketers should note

  • Late Q4 to early Q1 softness in CTR (Dec–Feb) appears in both the selected market and the global series.
  • A strong spring rebound is more pronounced in the Philippines E-commerce data (March spike), with elevated CTR through June.
  • Mid-year levels moderate toward the global average (July–August), bringing performance closer in line with overall trends.

Understanding click-through-rate benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.