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Facebook Ads Cost Per Purchase Benchmarks for Hardware and Networking in Spain

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Cost Per Purchase for Hardware and Networking in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: monthly trends and comparison

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. It examines cost per purchase trends for industry Hardware and Networking in Spain (ES) compared to the global trend.

Main takeaways

  • The selected series (Hardware and Networking, Spain) averaged 383.88, far above the global baseline average of 49.24—about 7.8x higher.
  • Costs were volatile in Spain: average month-to-month absolute change was 104.6% vs. just 4.7% for the baseline.
  • Q4 seasonality appears: October to December rose from 113.77 to 247.02, in line with typical holiday-driven increases.
  • A pronounced spike occurred in April–May 2025, peaking at 1085.18 in May, then normalizing through August.
  • From the first to the last month, Spain increased by 80.9%, while the baseline declined 2.1%.

Scope and framing

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

Selected trend overview (Hardware and Networking, Spain)

  • Average: 383.88 across 2024-10 to 2025-08.
  • High: 1085.18 (2025-05); secondary high 790.33 (2025-04).
  • Low: 95.43 (2025-02).
  • Range: 989.75 (high–low), indicating a wide spread.
  • Volatility: average month-to-month absolute change of 104.6%.
  • First-to-last change: from 113.77 (2024-10) to 205.83 (2025-08), up 80.9%.
  • Notable movements:
  • Q4 lift: +94.7% from October to November; +11.5% into December.
  • Correction in early Q1: −41.0% in January; −34.5% in February.
  • Exceptional spike in April: +706% vs. March; followed by +37.3% in May.
  • Reversion: −39.0% in June, −15.7% in July, −63.1% in August.

Baseline comparison (global)

  • Average: 49.24 across the same months.
  • High/low: 53.89 (2025-02) and 43.19 (2024-11).
  • Volatility: average month-to-month absolute change of 4.7%.
  • First-to-last change: −2.1% from October to August.
  • Seasonal pattern: mild increase from November to February (holiday through early Q1), then gradual easing.

Relative positioning

  • Spain is consistently above market across all months, ranging from 1.8x to 21.3x the global benchmark.
  • Q4–Q1 hovered 1.8x–5.1x above market (October–March).
  • The April–July period was 12x–21x above market, before settling to 4.5x in August.
  • Compared to the baseline’s stable, low-volatility profile, Spain exhibits substantial swings with outsized peaks in April–May.

Understanding cost per purchase benchmarks on Facebook Ads in Hardware and Networking and Spain 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 Spain, advertisers should consider local market factors and user behavior. 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.

Spain Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Apr 17Maundy Thursday (some regions)
Apr 18Good Friday
Apr 21Easter Monday (some regions)
May 1Labour Day
Aug 15Assumption Day
Oct 13National Day of Spain
Nov 1All Saints' Day
Dec 6Constitution Day
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)

Potential Advertising Impact

CPM and CPC might increase during Semana Santa (Holy Week) and May Day, particularly for travel and tourism campaigns. 'Puentes' (bridge days) could reduce weekday inventory while pre-holiday traffic boosts media consumption. Black Friday typically marks sharp rises in retail competition. Late December brings peak ad volumes and e‑commerce CPM spikes.

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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