Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Education

Compare mobile acquisition cost benchmarks by industry, region, and platform.

Cost Per App Install for Education

October 2025 - September 2026

Insights

Benchmark observations based on the selected data

Introduction — the main story

Education’s cost-per-app-install (median monthly) ran notably above the global benchmark for most of the year, but with extreme month-to-month swings that created a jagged, high-cost profile. 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 Education in All countries available compared to the global benchmark.

The story in the data

Education’s median cost-per-app-install started the 12‑month window at $11.23 in July 2025 and finished at $109.50 in June 2026. Across the year the Education series averaged about $70.3, with values ranging from a low of $9.31 (August 2025) to a high of $167.21 (November 2025). That average sits roughly 4.5x higher than the global baseline average of about $15.6 for the same months.

Key monthly movements: a modest trough around July–September (~$9–$13), an October lift to ~$23.8, then a dramatic spike to $167.2 in November. After November’s peak the metric retreated to ~$73.8 in December and hovered through early 2026 ($62–$71), before another surge into March–April (peaking near $139.5 in April). May saw a sharp decline to ~$43.9, followed by a rebound to ~$109.5 in June. The absolute spread between the year’s low and high was about $157.9.

Volatility was extreme: monthly absolute percent changes averaged roughly 103% (many months moved by double- or triple-digit percentages), compared with the baseline’s average monthly absolute change of about 33%. In plain terms, Education’s cost-per-install was roughly three times more volatile than the global pattern.

Seasonal and monthly dynamics

The rhythm shows a low-cost season in late summer (July–September), a first autumn surge (October) immediately followed by the largest volatility in November, and a partial normalization in December–February. A second pronounced upswing occurred in March–April before a steep May dip and June rebound. Patterns hint at concentrated cost pressure periods (notably November and April) punctuating otherwise variable months. Across the window, the calendar did not produce a simple steady Q4-versus-Q1 story — instead, there were punctuated spikes and rebounds that produced an irregular seasonal beat.

Country vs. Global

Compared with the global benchmark, Education’s cost-per-app-install was below or similar to baseline only in August–September (9.31 vs 12.51 in Aug; 12.78 vs 15.66 in Sep). From October onward the Education series sat consistently above market, often by large margins. At its narrowest gap (August) Education was about 25% below the global level; at its widest (November) Education costs were more than 11x the baseline (167.2 vs 14.9). Overall the Education trace trailed, matched, or exceeded “global” levels at different points, but the dominant pattern is sustained, large positive deviations from the benchmark and markedly higher volatility.

Understanding cost-per-app-install benchmarks for Education across All countries available provides a clear, data-rich picture of how Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance context, country-specific ad costs, and broader industry ad performance intersect for app-acquisition economics in Education.

About this data

Facebook advertising cost benchmarks

Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Education industry, Facebook ad costs can be moderate, with higher costs for professional and specialized courses. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

A small share of campaigns has extremely high CPI values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.

Factors that affect 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.)

The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.

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The data behind the benchmarks

The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.

The dataset updates as new ad data is available.

What's a good CPI for iOS vs Android in 2026?

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 that show app benefits, UGC-style content, and localized messaging tend to perform best. Clear CTAs and fast-paced visuals can lower CPI.

Should I optimize for installs or in-app actions?

Optimizing for installs increases volume. Optimizing for actions such as signups or purchases brings higher-quality users. Choose based on your goals and the importance of post-install behavior.

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

Align creative with the app experience, avoid misleading ads, and exclude people who already installed. Test lookalike audiences based on high-quality users rather than all installers.