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Facebook Ads Cost Per Purchase Benchmarks for Hardware and Networking

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Cost Per Purchase for Hardware and Networking

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Hardware and Networking purchase costs ran well above the market in 2025, with a pronounced spring peak and a softer, lower-cost finish into Q4. The year opened elevated, spiked into March–April, and then cooled steadily, punctuated by a sharp July dip and an August rebound. Volatility was a defining feature: big swings month to month contrasted with a relatively steady 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

Cost Per Purchase (CPP) for Hardware and Networking averaged $79.9 across all countries in 2025, ranging from a low of $58.13 in November to a high of $106.31 in April. The year started at $87.26 in January and ended at $58.55 in December, a 33% decline from first to last month.

The middle of the year carried the highest costs: March hit $102.87 and April topped the year at $106.31 before easing to $93.23 in May and $83.35 in June. The most dramatic movement came mid-year—June to July fell by $23.00 (−28%), immediately followed by a surge of $34.57 in August (+57%), before receding again in September (−18%). Average month-to-month swing was $14.5 (about 18% of the annual average), signaling a choppier market than typical.

By contrast, the global CPP baseline averaged $51.7 and moved narrowly, with an average monthly change of just $1.6. Global highs and lows were muted (peaking near $54.8 in February and easing to the upper-$47s in November–December).

Seasonal and monthly dynamics

The rhythm of 2025 favored Q2: Hardware and Networking CPP averaged $94.3 in April–June, the year’s priciest stretch. Q3 settled to $77.8, and Q4 landed at the floor with a $59.0 average, clustering near the November–December lows. Overall, the category fell 25% from H1 ($91.5) to H2 ($68.4). The global pattern, while slightly softer late in the year, was comparatively flat—$52.7 in H1 versus $50.6 in H2.

The storyline is a classic crest-and-cool: an early-year lift culminating in April, an abrupt mid-year wobble in July–August, and a steady slide into the year-end trough.

Country vs. Global

Hardware and Networking remained above market every month. The category’s $79.9 average was 55% higher than the $51.7 global benchmark. The gap was narrowest in October, when CPP was 15% above global ($60.45 vs. $52.80), and widest in April, when it ran just over double the market (+103%, $106.31 vs. $52.38). March (+94%) and August (+78%) also materially outpaced global levels.

Trend-wise, the global line drifted modestly down (−10% from January to December), while Hardware and Networking declined more sharply (−33%), with roughly 9x higher month-to-month volatility than the market.

Closing

Facebook Ads benchmarks for Cost Per Purchase in Hardware and Networking across all countries show a high-cost, high-volatility year: a spring peak, a mid-year whipsaw, and a pronounced Q4 softening—consistently above the global benchmark throughout. Understanding CPP performance for this industry across all countries provides a clear lens on country-specific ad costs, CTR performance context, and how this category’s CPM analysis and CPC trends diverge from global 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.