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

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Cost Per Purchase for Hardware and Networking in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Hardware and Networking in Denmark compared to the global trend; it is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Denmark’s Hardware and Networking cost-per-purchase is consistently above market: average 309.65 vs a global baseline of 49.00 over the same months (about 6.3x higher, or +532%).
  • The series is highly volatile, with sharp swings and a pronounced late Q2–Q3 surge (May–July). By contrast, the global baseline remains stable and low-volatility.
  • Seasonal signals: a soft trough in January, oscillation in Q4, and a material spike in May that gradually eased through August.

Denmark, Hardware and Networking: what the selected data shows

  • Period covered: Oct 2024 to Aug 2025 (10 months observed).
  • Average: 309.65. Median sits notably lower than the May–July highs, underscoring skew from the May spike.
  • High and low: peak at 1085.18 in May 2025; low at 66.01 in January 2025. Range spans 1019.17.
  • First-to-last change: from 205.74 in Oct 2024 to 209.06 in Aug 2025, a modest +1.6% overall despite mid-period surges.
  • Volatility: large month-to-month shifts are common:
  • Drops: Oct→Nov -58%, Dec→Jan -54%, Feb→Mar -59%, Jul→Aug -62%.
  • Rises: Nov→Dec +67%, Jan→Feb +146%, Mar→May +1,515%.
  • Excluding the March→May jump, the typical absolute monthly change averages about 62%, indicating substantial variability.
  • Seasonality: Q4 oscillated (Oct high, Nov dip, Dec partial rebound). Q1 saw the annual low in January. A pronounced late Q2–Q3 spike averaged 719.25 in May–July before easing to 209.06 in August.

How Denmark compares to the global baseline

  • Averages: Denmark 309.65 vs baseline 49.00 (same months), indicating Denmark is well above market.
  • Highs and lows: Denmark’s max 1085.18 (May) vs baseline’s 53.89 (Feb). Denmark’s min 66.01 (Jan) still sits above the baseline’s average and nearly all monthly baseline values.
  • Relative level by month: Denmark runs above market in 10/10 observed months; the gap peaked around 21x the baseline in May (1085.18 vs 50.97).
  • Trend and volatility: The baseline is stable and slightly down from Oct 2024 to Aug 2025 (-2.1%). Its average absolute month-to-month move is ~5%, versus ~62% in Denmark (excluding the May jump). The baseline shows mild firmness in winter and softer levels in summer, but without large spikes.

Seasonal and monthly dynamics to note

  • Q4 pattern: costs often rise into holiday periods; here, Oct was elevated, November fell, and December recovered partially (142.80), remaining above the global average.
  • Q1 softness: January marked the local trough (66.01), then February rebounded strongly (162.26).
  • Late Q2–Q3 surge: May–July saw exceptional elevation (1085.18, 527.80, 544.78), with a normalization in August (209.06), which nevertheless stayed above both October’s starting point and the global average.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Hardware and Networking and Denmark 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 Denmark, 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.

Denmark Advertising Landscape

National Holidays

Jan 1New Year's Day
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 20Easter Sunday
Apr 21Easter Monday
May 29Ascension Day
Jun 8Whit Sunday
Jun 9Whit Monday
Dec 25Christmas Day
Dec 26Second Day of Christmas

Key Shopping Season

Christmas & Boxing Day (late Dec), Easter holidays (groceries, travel, tourism), Mother's Day and Valentine's Day

Potential Advertising Impact

CPM and CPC could rise during Easter period due to travel-related campaigns. Late December ad competition might intensify in retail and hospitality. Whit Weekend might reduce weekday competition. Strict retail closures on holidays could drop competition, but pre-holiday CPMs may escalate.

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.