Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Finance

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

Cost Per App Install for Finance

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at COST_PER_APP_INSTALL trends for industry Finance and target country All countries available compared to the global trend. Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Finance (all countries available) ran below the global baseline on average, with an 11‑month mean of 7.52 versus 11.74 for the baseline (about 36% lower), signaling below‑market costs for app installs.
  • Volatility was high, yet lower than the global pattern: average absolute month‑over‑month change was 44.7% for Finance vs. 61.7% globally.
  • Seasonality stands out: a gradual climb through Q4, a sharp run‑up from February to April (peak in April), then a cool‑off into summer with a pronounced dip in August. By contrast, the global trend spikes especially in June.
  • From the first to last month observed, Finance’s cost per app install rose by about 122%.

Scope and dataset

  • Metric: cost per app install.
  • Industry: Finance.
  • Country: all countries available.
  • Period: Oct 2024 to Aug 2025.
  • Baseline: global trend across all available industries/countries over the same months.

Finance (all countries) trends

  • Average: 7.52 across 11 months.
  • High/low: peak at 13.56 in Apr 2025; low at 2.48 in Oct 2024 (range ≈ 11.08).
  • Change from first to last month: +122% (2.48 in Oct 2024 to 5.50 in Aug 2025).
  • Volatility: average absolute month‑to‑month move of 44.7%.
  • Notable moves:
  • Rapid Q4 rise: 2.48 (Oct) → 4.01 (Nov) → 5.94 (Dec).
  • Dip in Jan (3.54), followed by steep gains: Feb +167% vs Jan; Mar +12% vs Feb; Apr +29% vs Mar (series high).
  • Cooling post‑April: May −26%, Jun −16%, small uptick in Jul (+8%), sharp dip in Aug (−40%).

Comparison to the global baseline

  • Average level: Finance (7.52) vs baseline (11.74) → approximately 36% below market.
  • Extremes: Finance peak 13.56 (Apr) vs global peak 26.21 (Jun). Finance trough 2.48 (Oct) vs global trough 6.20 (Oct).
  • Volatility: Finance 44.7% average MoM absolute change vs baseline 61.7% → less erratic than the market.
  • Month‑by‑month positioning:
  • Below market most months, notably:
  • Nov 2024: 4.01 vs 14.28 (≈72% lower).
  • Jun 2025: 8.49 vs 26.21 (≈68% lower).
  • Aug 2025: 5.50 vs 15.00 (≈63% lower).
  • Above market in:
  • Mar 2025: 10.56 vs 6.87 (≈54% higher).
  • Apr 2025: 13.56 vs 11.51 (≈18% higher).
  • Seasonal contrast:
  • Finance shows a Q4 build, a Feb–Apr crest, then a summer cool‑off culminating in an August dip.
  • The global trend features a pronounced June spike (26.21), which Finance does not mirror.

Seasonal patterns to note

  • Q4: costs climb from October into December—consistent with holiday pressure.
  • Q1–Q2: a strong run‑up culminates in April for Finance; the global peak arrives later, in June.
  • Summer: Finance trends down into August, while the global series remains elevated (e.g., 15.00 in August).

Understanding COST_PER_APP_INSTALL benchmarks on Facebook Ads in industry Finance and All countries available helps advertisers make more efficient budget and creative choices.

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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.