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October 2024 - October 2025
Detailed observation of presented data
This analysis looks at click-through-rate trends for industry Hardware and Networking and target country Sweden compared to the global trend. It covers monthly medians from October 2024 through August 2025 (no reading for April in the selected series).
Understanding click-through-rate benchmarks on Facebook Ads in industry Hardware and Networking and Sweden helps advertisers make more efficient budget and creative choices.
Insights & analysis of Facebook advertising costs
Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. In the Hardware and Networking industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Sweden, 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. 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. 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.
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Late November (Black Friday is huge), December (Christmas and post-Christmas sales), June (Midsummer seasonal promotions), January (Winter sale season)
CPMs might spike during Black Friday and early December, especially in e‑commerce and fashion. Easter and Midsummer holidays often decrease weekday inventory but increase media usage during long weekends. Midsummer tends to be quiet in retail but active in travel and food sectors. Post-Christmas sales in January still see high digital ad demand.
CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.
The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.
Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.
Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.
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