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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

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Hardware and Networking purchase costs ran consistently above the global benchmark and moved with sharper swings. From November 2024 to November 2025, the industry’s global cost-per-purchase (CPP) averaged $85, versus a $48 global all-industry median. The year opened at a steep $120, eased into winter, then rebounded in March–April before sliding to a mid-year low in July and staging a brief August lift. Volatility was a defining feature, with month-to-month shifts far larger than the global baseline.

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.

The story in the data

  • Period scope: Nov 2024–Nov 2025
  • Starting point: $119.71 in Nov 2024
  • Ending point: $72.14 in Nov 2025 (−40% YoY)
  • Average: $85.31; High: $119.71 (Nov 2024); Low: $61.37 (Jul 2025)

The steepest month-to-month decline landed right out of the gate: November to December fell $40.60 (−34%). Winter stabilized: January ticked up to $86.62 before February cooled to $75.78. Spring brought a sharp rebound—March to April climbed to $101.55 and $104.34—followed by a measured easing through May–June ($97.76 → $82.66). The mid-year trough arrived in July at $61.37, then August leapt $26.05 (+42%) to $87.41. The fall cooled again, gliding from $71.38 in September to $69.22 in October, with a modest November uptick to $72.14.

Volatility averaged $14.80 per month in Hardware and Networking, far more jagged than the global benchmark’s $3.45 monthly swing.

Seasonal and monthly dynamics

The pattern shows a front-loaded spike into November, a softer winter, and a spring rebound that gave way to mid-year softness. H1 2025 averaged $91.5 (Jan–Jun), while late-year levels moderated to $72.3 (Jul–Nov). The August bounce stands out as a short-lived countertrend amid an overall second-half cooling. In contrast, the global benchmark typically firmed into early Q1 and then eased, with a pronounced drop into November.

Country vs. Global

Hardware and Networking’s CPP remained above-market every month. On average, the industry sat 77% higher than global levels ($85 vs. $48). The premium ranged from a narrow +31% in July (Hardware and Networking $61.37 vs. global $46.88) to a wide +180% in November 2024 ($119.71 vs. $42.73). The gap compressed mid-year, then widened again into Q4 as the global benchmark fell sharply to $30.61 in November 2025 while Hardware and Networking held at $72.14. Trend-wise, the global line moved steadier and ultimately declined 28% from Nov 2024 to Nov 2025, while Hardware and Networking fell faster (−40%) and with choppier month-to-month rhythm.

Closing

Facebook Ads benchmarks for cost per purchase in the Hardware and Networking industry across all countries indicate a persistently above-market, more volatile cost profile versus global norms. While this read centers on CPP, it complements CPC trends, CPM analysis, and CTR performance for industry ad performance and country-specific ad costs, helping contextualize how Hardware and Networking compares to global advertising patterns.

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.