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Facebook Ads Cost Per App Install Benchmarks for Textiles

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Cost Per App Install for Textiles

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all countries, cost per app install for Textiles followed a clear “dip-then-accelerate” arc with a sharp mid-year surge and a higher landing than its starting point. The period opened at $15.83 in November, slid to a cycle low of $7.13 in January, then rallied hard into a June peak of $27.90 before settling to $19.14 by October. Volatility was meaningful, with the average month-to-month move at $6.23 and two of the year’s largest swings clustered around June. 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 Textiles across all countries compared to the global benchmark.

The story in the data

  • Starting point to finish: From $15.83 in November to $19.14 in October, the series ended about 21% higher than it began.
  • Highs and lows: The 12‑month high hit $27.90 in June; the low was $7.13 in January, marking a $20.77 range across the year.
  • Average level: Monthly medians averaged $15.10, with 5 of 12 months finishing above that line.
  • Key movements:
  • A soft Q4-to-Q1 glide: $15.83 (Nov) → $11.30 (Dec) → $7.13 (Jan).
  • A choppy Q1: January’s trough rebounded to $12.52 in February, then eased to $8.83 in March.
  • The inflection: From May to June, CPI jumped by $16.13 to $27.90, the sharpest single-month increase.
  • The snapback: June to July fell $15.21 back to $12.69.
  • A Q3 climb: July’s $12.69 rose to $18.24 in August and $23.31 in September (+84% from July to September) before easing to $19.14 in October.

Volatility averaged $6.23 per month, with the most dramatic pair of moves occurring around the June spike and July correction.

Seasonal and monthly dynamics

The rhythm reflects familiar auction pressures: softer acquisition costs through late Q4 into early Q1, a trough in January, and a pronounced mid-year rise. Q1 averaged $9.49 (Jan–Mar), Q2 stepped up to $17.42 (Apr–Jun) on the strength of June’s peak, and Q3 sustained elevated levels at $18.08 (Jul–Sep). Late-year performance did not retest the September high, but October remained above the 12‑month average, suggesting a higher plateau after the mid-year escalation.

Country vs. Global

Because this view aggregates Textiles across all countries, it closely mirrors the global Facebook Ads benchmarks for cost per app install during the period. The market-level trend rose from November to October (+21%), was choppy in Q1 (−44% from November to January), and exhibited greater amplitude mid-year (+291% from January to June) before normalizing. Without a separate country slice, no persistent gap versus the global baseline is observable; instead, the Textiles all-countries series tracks the same broader momentum seen in market-wide CPI trends.

Closing

In sum, Facebook Ads benchmarks for cost per app install in the Textiles industry across all countries show a low in January, a sharp June peak, and a higher late-year plateau, with average monthly medians around $15.10 and notable $6.23 month-to-month volatility. Understanding CPI movement alongside CPC trends, CPM analysis, and CTR performance provides a clear view of country-specific ad costs in aggregate and positions industry ad performance for Textiles within the broader global pattern.

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. In the Textiles industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.