Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks in Colombia

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

Cost Per App Install in Colombia

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all industries in Colombia, the cost per app install sat far below global Facebook Ads benchmarks, yet moved with sharper percentage swings month to month. From a low base in late 2024, costs climbed into February 2025 before cooling through April and then stabilizing into early summer. The result is a market that is consistently inexpensive in absolute terms, but more dynamic in its monthly rhythm than the global trend.

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 Colombia compared to the global benchmark.

The story in the data

For Colombia, Cost per App Install (CPI) averaged $1.07 between November 2024 and June 2025, ranging from a low of $0.24 in November to a high of $2.43 in February. The period began at $0.24 (November) and ended at $1.13 (June), nearly a fivefold lift from start to finish, though still below the February peak.

Monthly movements were pronounced:

  • November to December: $0.24 → $0.89 (+275%)
  • December to January: $0.89 → $1.30 (+46%)
  • January to February: $1.30 → $2.43 (+87%)
  • February to March: $2.43 → $1.01 (−58%)
  • March to April: $1.01 → $0.32 (−69%)
  • April to May: $0.32 → $1.25 (+292%)
  • May to June: $1.25 → $1.13 (−9%)

Volatility averaged $0.76 per month in Colombia (about 119% relative to the prior month), signaling sharper percentage swings than the market average. By comparison, the global benchmark averaged $13.48 over the same window, with a larger absolute monthly change of $5.50 (about 51% relative change).

Seasonal and monthly dynamics

The series shows a late-Q4 trough, a build through Q1, and a Q2 reset followed by stabilization:

  • Q4 2024 average: $0.57 (November–December)
  • Q1 2025 average: $1.58 (January–March), culminating in February’s peak
  • Q2 2025 average: $0.90 (April–June), led by an April dip and a May rebound

Globally, CPI softened from November into January, then surged through Q2 with a pronounced June spike—consistent with rising competition and country-specific ad costs in late Q2/early Q3. Colombia’s arc peaked earlier (February) and eased into a steadier late-Q2 cadence.

Country vs. Global

Colombia remained well below market throughout. The average CPI gap versus the global benchmark was roughly 92% (about one-twelfth of global levels). The narrowest gap appeared in February and January, when Colombia reached 18–19% of global CPI (about 81–82% below). The widest separation came in November and April, when Colombia ran 96–99% below global CPI.

Trend-wise, the global series rose +76% from November to June (15.83 → 27.90) with a strong June push, while Colombia ended higher than November but below its February high—choppier in shape, with larger percentage oscillations but tiny absolute moves. Range also underscores the contrast: Colombia spanned $2.19 (0.24–2.43) versus a global range of $20.77 (7.13–27.90).

Closing

In sum, Facebook Ads benchmarks for Cost per App Install across all industries in Colombia point to structurally low country-specific ad costs with more pronounced month-to-month percentage shifts than the global pattern. Understanding CPI trends for all industries in Colombia helps marketers contextualize app install costs alongside broader CPC trends, CPM analysis, and CTR performance relative to global benchmarks.

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 Colombia, 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.

Colombia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Mar 24Saint Joseph's Day
Apr 17Maundy Thursday
Apr 18Good Friday
May 1Labour Day
Jun 2Ascension Day
Jun 23Corpus Christi
Jun 30Sacred Heart of Jesus
Jul 20Independence Day
Aug 7Battle of Boyacá
Aug 18Assumption of Mary
Oct 13Columbus Day
Nov 3All Saints' Day
Nov 17Independence of Cartagena
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas), Mid‑year promotions around Independence Day (Jul 20) and Children's Day (Oct 13)

Potential Advertising Impact

CPM and CPC might increase during long weekends and holidays like Independence Day due to heightened leisure media consumption. Major e‑commerce events could result in sharp spikes in retail competition. June holidays could disrupt typical ad pacing. Many holidays shifted to Mondays make weekend campaigns perform better.

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.