Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks in Philippines

See how your app install costs compare. Explore mobile acquisition cost benchmarks by industry, region, and platform

Cost Per App Install in Philippines

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

The main story: Cost Per App Install in the Philippines ran materially below the global benchmark across the 12-month window, trading in a choppy pattern of steep spikes and deep troughs rather than a steady seasonal climb. The Philippines showed several dramatic month-to-month moves—most notably a November surge and a February trough—while the global series was dominated by a pronounced February peak. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

This analysis explores ad performance trends for All industries available in the Philippines compared to the global benchmark.

The story in the data

Across June 2025–May 2026 the Philippines’ median COST_PER_APP_INSTALL averaged about 3.28 (currency units), starting at 6.19 in June 2025 and ending at 0.81 in May 2026 — an overall decline of roughly 87% from start to finish. The highest monthly value in the Philippines was 9.26 in November 2025; the low was 0.36 in February 2026. Month-to-month swings were extreme: the jump from October to November was over +1,500% in relative terms (0.56 → 9.26), then collapsed again by about −87% into December.

By contrast the global benchmark averaged about 15.86 over the same period, with a peak of ~30.13 in February 2026 and a low near 9.34 in December 2025. The global series moved with a large February spike (+135% Jan→Feb) but otherwise showed smaller relative swings than the Philippines.

Volatility measures underline the different rhythms: standard deviation for the Philippines was roughly 2.67 (coefficient of variation ~81%), indicating high relative volatility around a low mean. The global series had a larger absolute standard deviation (~5.20) but a lower relative volatility (CV ~33%).

Seasonal and monthly dynamics

Seasonally, the global benchmark exhibited a clear February surge and softer late‑year compression into December. The Philippines did not mirror that single global pulse; instead it produced a jagged rhythm with several short-lived lifts (June, August–September, November, April) and multiple troughs clustered in late Q4 and early Q1 (October, December, January, February, May).

Notable monthly dynamics in the Philippines include a mid‑Q3 lift (Aug–Sep), a steep October drop, a dramatic November spike, and repeated collapses afterward. These moves produced a pattern of rebound and decline rather than a smooth seasonal curve. Globally, the dominant seasonal signature was the February cost surge, followed by partial normalization in March–May.

Country vs. Global

Relative framing: the Philippines spent far less on app installs than the global benchmark across every month observed. On average PH costs were about 79% below global levels (3.28 vs 15.86). At its narrowest gap—November 2025—Philippines costs were roughly 38% below global (9.26 vs 14.86). At its widest—February 2026—the Philippines sat nearly 99% below the global peak (0.36 vs 30.13). In relative terms the Philippines series was more volatile (higher CV), while in absolute dollars the global series swung more widely around a higher mean.

This juxtaposition underscores divergent market dynamics: the global trend was driven by a pronounced February surge, while the Philippines exhibited episodic spikes and rapid reversals across the year.

Understanding Cost Per App Install benchmarks for all industries in the Philippines provides context for interpreting Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, and broader country-specific ad costs and industry ad performance in the Philippines.

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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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 good CPI for iOS vs Android in 2025?

iOS CPIs often range from $2 to $5 or more. Android is usually cheaper, between $1 and $3. Your CPI will depend on geo, creative, and optimization goal.

Why is my app install cost higher in some countries?

Some regions like the US, UK, and Canada have higher competition and stricter privacy regulations, which drive up costs. Countries with lower purchasing power typically have cheaper CPIs.

What creatives drive the lowest CPI on Facebook?

Short videos showing app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals help lower your CPI.

Should I optimize for installs or in-app actions?

Optimizing for installs gets volume, but optimizing for actions like signups or purchases brings higher quality users. It depends on your goals and how much post-install behavior matters.

How do I lower CPI without tanking app retention or quality?

Align your creative with the app experience, avoid misleading ads, and exclude users who already installed. You can also test lookalike audiences based on high-quality users, not just all installers.