Facebook Ads Insights Tool

Facebook Ads Cost Per App Install Benchmarks for Real Estate in Singapore

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

Cost Per App Install for Real Estate in Singapore

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per app install trends for industry Real Estate and target country Singapore compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected series was available for Real Estate in Singapore during the period, so comparisons are qualitative against the global baseline only.
  • Global baseline costs show a clear upward drift from late 2024 into 2025, punctuated by sharp spikes: a November lift, a major June peak, and elevated levels through late Q3.
  • Volatility is high, with an average month‑to‑month move of about 6.31 and the largest single jump occurring in June.

Scope and data availability

  • Metric: cost per app install (median by month).
  • Industry: Real Estate.
  • Country: Singapore.
  • Selected data: no available monthly medians for the selected industry and country in the timeframe.
  • Baseline: global series (all industries/countries) from September 2024 to September 2025.

Global baseline trend (context)

  • Overall average: 11.85 across 13 months; monthly median: 11.36.
  • Highs and lows:
  • Highest month: June 2025 at 26.21.
  • Lowest month: September 2024 at 1.98.
  • Range: 24.23 between low and high.
  • First-to-last change: from 1.98 (Sep 2024) to 22.99 (Sep 2025), a +1,062% increase, driven by very low starting levels and a strong late-2025 uptick.
  • Volatility:
  • Average absolute month-to-month change: 6.31.
  • Largest monthly increase: +15.78 from May to June 2025.
  • Largest monthly decline: −13.86 from June to July 2025.
  • Only 5 of 13 months sat above the average (11.85), indicating that a few spikes pulled the mean higher.

Seasonal patterns observed in the baseline

  • Q4 (holiday period) shows a notable November lift (6.20 in October to 14.28 in November) followed by a December correction to 8.52.
  • Early Q1 is softer (January 6.36; March 6.87), then costs climb through Q2, culminating in a June spike to 26.21.
  • Q3 stays elevated versus early-year levels (July 12.35; August 15.00) and ends with another high in September (22.99).

Selected vs. baseline positioning

  • Because there are no recorded monthly medians for Real Estate in Singapore, relative positioning versus the global baseline (e.g., above market, below average, or in line) cannot be quantified for this period.
  • Directionally, if future Singapore Real Estate data mirrors the baseline pattern, marketers should expect softer costs early in the year, a lift during Q4’s peak retail period, and potentially higher costs into late Q2 and Q3. However, this cannot be confirmed without observed selected data.

Notable spikes and dips in the baseline

  • Sharp surge in June 2025 (26.21), followed by a near‑halving in July (12.35).
  • Seasonal bump in November 2024 (14.28) and another late‑year/late‑Q3 elevation in September 2025 (22.99).

Understanding cost per app install benchmarks on Facebook Ads in industry Real Estate and Singapore 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 Real Estate industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Singapore, 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.

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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.

Singapore Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 29Chinese New Year Day 1
Jan 30Chinese New Year Day 2
Mar 31Hari Raya Puasa
Apr 18Good Friday
May 1Labour Day
May 12Vesak Day
Jun 7Hari Raya Haji
Aug 9National Day
Oct 20Deepavali
Dec 25Christmas Day

Key Shopping Season

Late January (Chinese New Year), October–December (Deepavali, National Day promotions, Christmas), Mid-year retail events

Potential Advertising Impact

CPM and CPC might rise during Chinese New Year and Deepavali for gifting, food, and apparel categories. Good Friday, Hari Raya, and Vesak Day long weekends could shift consumer behavior and spike media consumption. National Day promotions might elevate ad costs in entertainment and tourism. Singapore's small, affluent market means events can have noticeable retail impact.

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.