Understand how your CPC compares. Dive into benchmark data by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Finance CPC in Singapore moved through 2025 with sharp peaks and deep troughs, ultimately averaging slightly above the global benchmark but with far more turbulence. The year opened with an elevated January, slid into an unusually soft mid-year, then snapped back in December. Compared to the steady, gently rising global baseline, Singapore’s Finance market was choppier, with standout months on both ends of the spectrum.
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 Finance in Singapore compared to the global benchmark.
Globally, CPCs followed a more familiar seasonal arc: broadly stable through mid-year, a pronounced spike in November (1.32), then a December cooldown (1.05). Singapore’s Finance pattern diverged—softer in early Q4, with the seasonal pressure arriving late in December rather than November.
These Facebook Ads benchmarks highlight CPC trends for Finance in Singapore: a year defined by pronounced volatility, a strong Q2, a deep Q3 trough, and a late Q4 rebound. Understanding cost-per-click dynamics for Finance in Singapore—alongside the steadier global baseline—helps contextualize country-specific ad costs and broader industry ad performance patterns.
Insights & analysis of Facebook advertising costs
Cost Per Click (CPC) is the amount advertisers pay each time a user clicks on their Facebook ad. In the Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.
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.
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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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.
Late January (Chinese New Year), October–December (Deepavali, National Day promotions, Christmas), Mid-year retail events
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.
CPC (Cost Per Click) is what you pay each time someone clicks on your ad, on any Facebook Ads placement. It's calculated by dividing your total spend by the number of clicks received. Facebook Ads lists Clicks, Link Clicks and Outbound Clicks separately. The former is the sum of all types of clicks (including, for example, clicks to your profile page, to a link or to a comment).
The truth is that varies, so play with our tool to get some benchmarks that are relevant to you. CPC values are highly dependent on the region, industry and campaign objective. The US is one of the most expensive markets.
Several factors affect CPC: your audience targeting, competition in your industry, ad relevance score, and creative performance. If your ad isn't getting engagement or relevance is low, CPC tends to spike.
CPC spikes usually happen because of increased competition in your target audience, seasonal trends (like holidays), poor ad relevance scores, or algorithm changes. Check if your audience targeting has become too narrow or if your creative is showing fatigue.
Yes, there's a noticeable difference between platforms. Mobile CPCs often run lower than desktop. How many times do check Instagram on your phone and how often do you open it in your computer? There's simply much more mobile inventory. Tip: segment your performance data by placement to understand where your clicks are coming from. Spoiler: it's likely all mobile.
For most businesses, optimizing for conversions will deliver much better ROI than focusing purely on CPC. A low CPC is meaningless if those clicks don't convert. However, if you're running awareness campaigns or some kind content promotion, CPC optimization might potentially make sense, although most experts have switched to conversion optimization by now.
Your specific audience targeting, creative quality, bidding strategy, and account history all influence your CPC. Industry averages provide a reference point, but your historical performance is a more reliable benchmark for setting expectations and measuring improvement.
Instagram CPCs are generally slightly higher due to stronger purchase intent and higher competition among advertisers. But it depends on the audience and creative.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
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