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Facebook Ads Cost Per App Install Benchmarks for Energy and Mining

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Cost Per App Install for Energy and Mining

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction

Headline: Cost-per-install for Energy and Mining moved from low double-digits into a late-July outlier, producing a year of choppy momentum and outsized volatility.

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 Energy and Mining in All countries available compared to the global benchmark.

The story in the data

Across the 13-month series (July 2025 → July 2026) median cost-per-app-install averaged about $21.8, with values clustering between roughly $9 and $30 for most months before a dramatic spike to $96.91 in July 2026. The period opened at $9.95 in July 2025 and closed at $96.91 — an almost 875% increase from start to finish driven by two marked surges.

Low points: December 2025 bottomed at $9.36 (the series low). Typical mid-range months included July–October 2025 and March–June 2026, where installs commonly landed in the $12–$19 range. High points: February 2026 showed an early spike to $30.13 (+135% vs January), and July 2026 produced the outlier at $96.91 — more than six times the June level of $14.77.

Monthly momentum was uneven: notable lifts in August–October 2025 (steady rise to $16.43), a softening into December, a rebound and spike in February, a choppy spring, and then the extreme July upswing. Median behavior therefore shows a central tendency near $15 but with a long right tail.

Seasonal and monthly dynamics

Seasonal rhythm is visible: late-year softness in December (9.36) preceded a January pickup ($12.83) and a pronounced February surge ($30.13). Spring months (March–May) reverted toward mid-teens ($16.6 → $14.4), suggesting a period of relative normalization after the winter bump. June held steady ($14.77) before the large end-point jump in July 2026.

Volatility followed a stop-start pattern — quieter transitions in early fall (Sep→Oct +4.9%) and late spring (May→Jun +2.5%), contrasted with big swings around year-end and early-year (Nov→Dec −37%, Dec→Jan +37%, Jan→Feb +135%). July’s +556% month-to-month move versus June is the defining outlier of the series.

Country vs. Global

Because this series represents Energy and Mining across all available countries, it reads like an industry-level benchmark within the global set. The median of ~$21.8 over the period sits above many single-month lows (<$10) but is skewed by two spikes (Feb and particularly Jul). Volatility averaged an absolute monthly change near 77% when the July outlier is included; excluding that single outlier the average absolute monthly move falls to roughly 33%, illustrating how a single month can reshape headline bench­marks.

In plain comparative terms: the dataset shows Energy and Mining cost-per-install as episodically above typical low-double-digit installs, punctuated by large, infrequent spikes — a pattern that elevates the overall mean versus the more stable months.

Closing

Understanding Cost Per App Install benchmarks for Energy and Mining in All countries available provides a clear, data-grounded view of industry ad performance and country-specific ad costs trends within broader Facebook Ads benchmarks, CPC trends, CPM analysis, and CTR performance conversations.

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 Energy and Mining 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.