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Facebook Ads Cost Per Purchase Benchmarks for Hardware and Networking

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Hardware and Networking

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data, cost-per-purchase in Hardware and Networking across all countries is consistently above the global benchmark, averaging $99.39 vs. $47.82 (+108%, ~2.1x).
  • The series is volatile (average month-to-month swing ~30% vs. ~7% globally) with several large spikes and dips.
  • Seasonality is clear: elevated costs in Q4, a sharp January correction, a spring rebound, and a softer Q3.
  • The gap to the global baseline narrows over time—from 2–3x in late 2024/early 2025 to 1.3–1.7x in Q3 2025.

This analysis looks at cost-per-purchase trends for industry Hardware and Networking and target country All countries available compared to the global trend.

Overview and context

  • Metric: cost-per-purchase (median, monthly).
  • Period: Oct 2024–Sep 2025.
  • Dataset: the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Hardware and Networking: trend highlights

  • Average: $99.39
  • High: $151.20 (Oct 2024)
  • Low: $54.89 (Sep 2025)
  • First-to-last change: -63.7% (from $151.20 in Oct 2024 to $54.89 in Sep 2025)
  • Volatility: average absolute month-to-month change ~29.9%
  • Notable movements:
  • Oct → Nov: -35.8%
  • Nov → Dec: +38.5%
  • Dec → Jan: -50.2% (sharp correction)
  • Feb → Mar: +51.9%; Mar → Apr: +7.2% (spring rebound)
  • Jun → Jul: -40.0% (entry to Q3 trough)
  • Seasonal pattern:
  • Q4 2024 average: $127.59 (elevated)
  • Q1 normalization with a January low ($66.96), then recovery into Mar–Apr ($130.80–$140.24)
  • Gradual easing through Q2, followed by the lowest levels in Q3 ($54.89–$70.20)

Global baseline: trend highlights

  • Average: $47.82
  • High: $53.89 (Feb 2025)
  • Low: $32.29 (Sep 2025)
  • First-to-last change: -30.8%
  • Volatility: average absolute month-to-month change ~7.0%
  • Notable movements: a modest Nov → Dec lift (+19.3%) and a sharp Aug → Sep drop (-29.3%).
  • Seasonal pattern:
  • Stable around year-end, mild peak in Feb, steady softening into late summer with a September trough.

Relative positioning vs. the market

  • Overall premium: Hardware and Networking runs ~2.1x the global cost-per-purchase on average.
  • Range of premium by month: 1.25x–3.24x (highest in Oct 2024; lowest in Jul 2025).
  • Seasonal comparison:
  • Q4 divergence: Hardware and Networking at $127.59 vs. global $47.13 (~2.7x).
  • Q3 convergence: $61.02 vs. $41.39 (~1.5x), indicating narrowing gaps later in the period.

What marketers should note

  • Costs are above market throughout the period, with heightened volatility relative to the global trend.
  • Seasonal effects align with broader patterns: higher in Q4, correction in January, rebound in spring, easing into late summer/early fall.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Hardware and Networking and All countries available helps advertisers make more efficient budget and creative choices.

Understanding the Data

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.

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

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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