See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
February 2025 - February 2026
Detailed observation of presented data
HR & Staffing’s cost-per-purchase showed a dramatic whipsaw across all countries: an elevated April gave way to a sharp May reset, diverging markedly from the steadier global benchmark. In April 2025, the industry’s CPP reached 78.29, then fell to 27.91 in May — a 64% month-over-month drop — while the global all‑industry median held essentially flat around 52.4. The result is a two‑month story of extremes: briefly above market, then well below it, with volatility that far exceeded typical global movement. 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 HR & Staffing across all countries compared to the global benchmark.
Across the observed window, HR & Staffing’s CPP started at 78.29 in April and ended at 27.91 in May, averaging 53.10 across the two months. The range was wide — a 50.38‑point spread — highlighting a swift reset in acquisition costs. April marked the local high; May set the local low. In percentage terms, the drop from April to May was −64%.
By contrast, the global all‑industry benchmark was calm. CPP sat at 52.38 in April and 52.42 in May — a negligible +0.07% change. For broader context, the global median across 2025 averaged about 51.65, with a modest range from a February high of 54.77 to a November low of 47.32. Month‑to‑month moves in the global series averaged about 1.6 points in 2025, underscoring how unusual HR & Staffing’s 50‑point swing was across the same spring period.
The relative positioning shifted just as quickly. In April, HR & Staffing ran about 49% above the global CPP (78.29 vs. 52.38). In May, it flipped to roughly 47% below (27.91 vs. 52.42). Despite that churn, the two‑month average for HR & Staffing (53.10) landed close to the April–May global average (52.40), showing that the level converged while the path there was decidedly choppy.
The global benchmark suggests a gentle seasonal rhythm: relatively stable through Q2 and Q3, then softer into late Q4 (47–48 in November–December), followed by an even lower January 2026 reading (25.15). Against that backdrop, HR & Staffing’s April–May pattern across all countries runs counter to the calm typically seen in late spring. April’s elevated CPP looks like an outlier peak, followed by a swift May correction to a level more in line with the softer periods seen globally later in the year.
With only two months of HR & Staffing data in this window, the seasonality signal is limited, but the immediate sequence — high in April, low in May — stands out for pace and magnitude relative to broader market behavior.
Across all countries, HR & Staffing was more volatile than the global benchmark and alternated between above‑market and below‑market levels within one month:
In sum, Facebook Ads benchmarks for cost per purchase in HR & Staffing across all countries show a brief April spike followed by a sharp May reset, contrasting with steady global all‑industry CPP trends. Understanding cost‑per‑purchase benchmarks and CPP trends for HR & Staffing across all countries helps marketers evaluate industry ad performance and compare country‑agnostic ad costs to global patterns.
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. 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.
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.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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
See how much it costs to get users to install an app