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Facebook Ads Cost Per Purchase Benchmarks for IT Services & Outsourcing in Denmark

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Cost Per Purchase for IT Services & Outsourcing in Denmark

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Scope: This analysis looks at cost per purchase trends for industry IT Services & Outsourcing and target country Denmark compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Data availability: No monthly observations were returned for the selected segment (IT Services & Outsourcing in Denmark), so relative positioning versus the global baseline cannot be determined for this period.
  • Global baseline highlights: Average cost per purchase was 47.82 across the last 12 months, peaking in February (53.89) and bottoming in September (32.29), a 45% swing between peak and trough.
  • Trend shape: From October to September, the global series fell 30.8%, with a pronounced dip in September. Costs typically rose into Q4/Q1 (holiday and new-year periods) and eased through spring and summer.
  • Volatility: Average month-to-month absolute change was about 3.25 (≈7%). The largest single-month moves were December (+19% vs. November) and September (−29% vs. August).

Scope and context

  • Metric: cost per purchase (median, monthly).
  • Segment of interest: IT Services & Outsourcing in Denmark.
  • Baseline: global all-industries, all-countries series used for benchmark comparison.

Selected segment overview (IT Services & Outsourcing, Denmark)

  • The selected_data series contains no values for the period provided. As a result, we cannot report averages, highs/lows, or volatility for Denmark’s IT Services & Outsourcing segment, nor can we quantify whether it sits above market, below average, or in line with overall trends.

Global baseline trend for cost per purchase

  • Average: 47.82 over the past 12 months.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • Change from first to last month: down 30.8% from October 2024 (46.67) to September 2025 (32.29).
  • Seasonal patterns:
  • Q4 uplift: November softened (43.19) but December jumped to 51.53 (+19% MoM), consistent with holiday pressure.
  • Q1 remained elevated: January (52.31) and February (53.89) marked the period’s highs; March was still high at 52.61.
  • Gradual easing: April to August drifted lower (51.57 → 45.69), with a sharp correction in September (32.29).

Month-to-month volatility (baseline)

  • Average absolute MoM change: 3.25 (≈7%).
  • Notable movements:
  • December vs. November: +8.34 (+19%).
  • June vs. May: −4.01 (−7.9%).
  • September vs. August: −13.40 (−29.3%).

Comparison to baseline

  • Because no selected segment data is available for IT Services & Outsourcing in Denmark, we cannot assess relative positioning (“above market,” “below average,” or “in line with overall trends”). The global baseline indicates higher costs around late Q4 and early Q1, then easing into summer with an outsized drop in September, but we cannot confirm whether the Denmark IT Services & Outsourcing segment follows or diverges from this pattern during the same window.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry IT Services & Outsourcing 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 IT Services & Outsourcing 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.

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