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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

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Cost per app install in the Philippines sat well below the global benchmark for most of the year, but the story isn’t just “cheap installs.” It’s a steady, mostly controlled climb through mid-year, then a pronounced Q4 surge that temporarily narrows the gap with global costs. Volatility stayed moderate compared to the world aggregate, with a couple of standout spikes in June and November that defined the market’s rhythm.

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 in the Philippines compared to the global benchmark.

The story in the data

Across 2025 to date, cost per app install in the Philippines averaged about 4.56, ranging from a low of 2.16 in January to a peak of 9.26 in November. The year opened at 2.16 and ended at 5.49 in December—about 155% higher than January—marking a clear uptrend with two distinct accelerations.

Month by month, the pattern was measured rather than erratic. February lifted to 4.15, then eased through spring to 2.85 in May before a sharp June jump to 6.19 (+117% month over month). That surge unwound in July (−37%), followed by a gradual build in August (+14%) and September (+17%). The fourth quarter moved decisively higher, with November spiking to the annual high (+77% vs. September, with October data not observed), then moderating to 5.49 in December (−41% vs. November) while still finishing the year above the annual average.

Volatility in the Philippines averaged about 1.80 points in absolute month-to-month change—noticeably smoother than the global benchmark’s average swing of 4.57. The overall range was 7.10 points in the Philippines vs. 16.68 points globally, underscoring a steadier local market punctuated by contained but meaningful spikes.

Seasonal and monthly dynamics

The Philippines followed a familiar app-install seasonality arc with local nuances. Q1 was the softest (around 3.18 on average), Q2 lifted modestly but was defined by the June spike, and Q3 maintained a measured climb (averaging 4.54). Q4 was the most expensive period, averaging roughly 7.38 across November and December—about 62% above the full-year average—indicating tight auction pressure heading into the holiday window. The strongest single month came in November, with December easing but still elevated relative to earlier in the year.

Globally, the seasonal rhythm leaned heavier in mid-year and stayed elevated into Q4: a Q2 high with a June peak, a pullback in July, then a sustained plateau through Q3 and Q4 before a December cool-down.

Country vs. Global

Against the global benchmark (which averaged roughly 13.37), the Philippines’ all-industry cost per app install was significantly lower at about 4.56—roughly 66% below global levels on average. The gap varied by month: widest in April–May (about 77% below) and narrowest in November (about 36% below) and December (about 41% below), when local costs rose and the differential compressed.

While the global trend ended the year about 32% higher than January, the Philippines finished around 155% higher, signaling a stronger late-year lift locally from a much lower base. Even so, month-to-month swings were gentler in the Philippines than globally, except for the notable June and November surges that shaped the year’s peaks.

Closing

Facebook Ads cost-per-app-install benchmarks for all industries in the Philippines show a market priced well below global averages, with controlled volatility and a pronounced Q4 lift. Understanding these country-specific ad costs and the yearly rhythm helps contextualize industry ad performance in the Philippines alongside the global trend.

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.

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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 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.