See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type
October 2024 - October 2025
Detailed observation of presented data
This summary analyzes cost-per-lead (CPL) trends for the HR & Staffing industry in Australia compared to the global baseline. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
This analysis looks at cost-per-lead trends for industry HR & Staffing and target country Australia compared to the global trend (all industries, all countries). Because the selected data contains no observations for the timeframe shown, the figures below summarize the global baseline only.
Understanding cost-per-lead benchmarks on Facebook Ads in industry HR & Staffing and Australia helps advertisers make more efficient budget and creative choices.
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 HR & Staffing industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Australia, advertisers typically see good engagement rates despite moderate costs. 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 December (Christmas and Boxing Day), Early December (Cyber Monday), January (Back-to-school), May (Mother's Day)
Ad costs could spike around major holidays, especially Easter, Anzac Day, and Christmas. Increased budgets and earlier scheduling may be necessary. Retailers should consider planning promotions around back-to-school and Mother's Day to maximize campaign effectiveness.
A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.
Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.
Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.
Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.
If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.
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
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