See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Hardware and Networking purchase costs ran hot and choppy across all countries, consistently above the global benchmark while tracing a distinctly seasonal arc. The year opened with an elevated spike around the holidays, swung sharply through late Q1 and Q2, then eased into a mid-year trough before stabilizing lower into October. The industry’s median Cost Per Purchase averaged 83.85, versus 49.28 globally—about a 70% premium—paired with far heavier month-to-month swings. 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 Hardware and Networking across all countries compared to the global benchmark.
Across the 12-month window, Hardware and Networking began at 115.00 in November 2024 and ended at 61.13 in October 2025, a 47% decline from peak to latest. The highest monthly median arrived in November (115.00), followed by a secondary crest in April (102.56) and March (101.02). The low point hit in July (57.06). Average Cost Per Purchase across all months was 83.85, spanning a wide 57–115 range.
Movement was pronounced:
Volatility averaged 15.4 per month in absolute terms, roughly six times the global baseline’s 2.5. By contrast, the global series was steady, averaging 49.28 and holding in a tight 42.7–53.8 band across the period.
The pattern resembles a holiday-driven lift, a choppy Q1/Q2, and a summer reset. The November spike aligns with year-end demand pressure; December cooled materially, then the metric re-accelerated into March–April. From there, median Cost Per Purchase trended down through June and found its floor in July before rebounding in August and settling lower into October. While performance typically softens through Q4 as competition rises, this view shows the late-year surge peaking in November with a notable December pullback—then a spring re-acceleration and a mid-year correction common in many Facebook Ads benchmarks.
Hardware and Networking stayed above market every month. The premium over the global benchmark averaged 70%, ranging from 21% in July to nearly 170% in November, with another wide gap in April (+99%). Month by month, the category’s line was markedly more volatile than the global trend. While the global benchmark was essentially flat over the period (+1% from November to October), Hardware and Networking declined 47% from its November high to October, with sharper intra-year swings. Q1 averaged 87.7 for the industry versus 52.8 globally; by Q3 it had cooled to 69.8 versus 48.7 globally, narrowing but still clearly above average. Overall, the global baseline rose gently in early 2025 and drifted within a 43–54 corridor, whereas Hardware and Networking traced a broader arc with larger amplitude.
In short, Facebook Ads benchmarks for Cost Per Purchase in Hardware and Networking across all countries show elevated, more volatile costs versus the global baseline—peaking in November, re-accelerating in spring, softening mid-year, and settling lower into October. Understanding Cost Per Purchase trends for Hardware and Networking across all countries helps situate industry ad performance against global patterns, alongside related CPC trends, CPM analysis, and CTR performance in country-specific ad costs.
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 Hardware and Networking 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.
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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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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.
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