Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Hardware and Networking in United States

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

Cost Per Purchase for Hardware and Networking in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Hardware and Networking in the United States vs global

This analysis looks at cost per purchase trends for industry Hardware and Networking in the United States compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • The United States Hardware and Networking cost per purchase ran consistently above market every month, averaging $88.44 vs a global baseline of $47.82 (+85% higher).
  • Volatility was elevated: average month-to-month movement was 27% in the selected data vs 7% globally.
  • Q4 showed pronounced pressure with a spike in December, while late summer into September softened.
  • From October 2024 to September 2025, the selected series fell 54%, a steeper decline than the baseline’s 31%.

Selected series highlights (United States, Hardware and Networking)

  • Average cost per purchase: $88.44 across 12 months.
  • High and low:
  • Peak: $120.21 in Oct 2024.
  • Troughs: $52.81 in Nov 2024 and $54.89 in Sep 2025.
  • Range: $67.40 (about 76% of the average), indicating wide dispersion.
  • Trend and volatility:
  • Nov 2024 dipped 56% from October, then rebounded 99% in December.
  • Moderate moves followed (Jan–Apr mostly within ±3%), then sharper declines in Apr–May (-24%), Jun–Jul (-22%), and Aug–Sep (-32%).
  • Overall change from first to last month: -54%.

Comparison with the global baseline

  • Level comparison:
  • Average: $88.44 selected vs $47.82 baseline (+85% premium; roughly 1.85x).
  • Monthly highs: $120.21 (selected) vs $53.89 (baseline, Feb 2025).
  • Monthly lows: $52.81 (selected, Nov 2024) vs $32.29 (baseline, Sep 2025).
  • Volatility comparison:
  • Average absolute month-to-month change: 27% selected vs 7% baseline.
  • Range as share of average: 76% selected vs 45% baseline.
  • Directional comparison:
  • First-to-last change: -54% selected vs -31% baseline, signaling a steeper late-period compression in the United States Hardware and Networking set.

Seasonal patterns and month-by-month context

  • Q4 seasonality:
  • Costs typically rise in the holiday period; the selected series fits this pattern with a high October and a December surge (Q4 average: $92.69), materially above the global Q4 average ($47.13).
  • Q1 stability:
  • Jan–Feb stayed near mid- to high-$80s with modest changes (+2–3%), before a March–April elevation ($109–$112).
  • Late-summer easing:
  • July softened to $73.71, drifted to $80.92 in August, then fell sharply to $54.89 in September—still above the global trough but well below earlier-year highs.

Overall, the United States Hardware and Networking segment showed consistently above-market cost per purchase with notably higher volatility than global norms, pronounced Q4 pressure, and a sharp late-summer/early-fall correction.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry Hardware and Networking and United States 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. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.

Optimize Smarter with Superads

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.

Get Started for free →

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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.