Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for HR & Staffing in Philippines

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

CTR (Click Through Rate) for HR & Staffing in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, the HR & Staffing click-through-rate in Philippines measured 6.44% in May 2025—about 3.6x above the global baseline for the same month (+260%).
  • The global baseline shows a gentle decline through early winter, then a steady climb from March to September, peaking in September at 2.12%. Volatility is modest, averaging about 0.05 percentage points month over month.
  • With only one month available in the selected series, volatility and seasonality for HR & Staffing in Philippines cannot be inferred, but the single-month level sits well above market.

This analysis looks at click-through-rate trends for industry HR & Staffing and target country Philippines compared to the global trend.

Selected data overview (HR & Staffing, Philippines)

  • Coverage: single month (May 2025).
  • Average click-through-rate: 6.44%.
  • High/low: 6.44% (same month; no variation).
  • Month-to-month volatility: not applicable (single observation).
  • Notable spikes/dips: none observable given the one-month sample.
  • First-to-last change: not applicable.

In practical terms, the May 2025 result marks a very high click-through-rate for HR & Staffing in Philippines relative to typical Facebook Ads benchmarks.

Global baseline overview

  • Period: Oct 2024–Sep 2025.
  • Average click-through-rate: 1.81%.
  • High: 2.12% in Sep 2025.
  • Low: 1.67% in Feb 2025.
  • First-to-last change: +20% from Oct 2024 (1.76%) to Sep 2025 (2.12%).
  • Volatility: average absolute month-to-month move of ~0.05 percentage points.
  • Largest upward move: +0.12 pp from Jul to Aug 2025.
  • Largest decline: -0.05 pp from Nov to Dec 2024.
  • Seasonal pattern: mild softening from late Q4 into February, followed by a consistent upswing March–September, culminating in the September peak.

Selected vs. baseline comparison

  • Point-in-time comparison (May 2025):
  • Selected (HR & Staffing, Philippines): 6.44%.
  • Global baseline: 1.79% (slightly below its 12‑month average of 1.81%).
  • Relative positioning: approximately 3.6x above market (+260%) for the same month.
  • Against the full baseline average:
  • Selected May result is ~3.6x higher than the global 12‑month average, signaling above‑market engagement for this industry-country combination at that time.
  • Volatility context:
  • Selected series shows no observed volatility (single point), whereas the global trend changes modestly month to month (~0.05 pp), with a clear mid-year build.

Seasonal context

  • While one data point for HR & Staffing in Philippines prevents identifying a local seasonal pattern, the global baseline indicates CTR typically tightens in winter, then strengthens through spring and summer into early fall, peaking in September.

Understanding click-through-rate benchmarks on Facebook Ads in industry HR & Staffing 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 HR & Staffing 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.