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Facebook Ads Cost Per Purchase Benchmarks for Consulting in Norway

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Cost Per Purchase for Consulting in Norway

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads benchmarks summary: cost-per-purchase for Consulting in Norway vs. global

This analysis looks at cost-per-purchase trends for industry Consulting and target country Norway compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • Overall level: Norway’s median cost-per-purchase averages 42.66 across the available months, about 13% below the global baseline (49.22) for the same period—generally below average relative to the market.
  • Volatility: Norway shows high month-to-month variability (average absolute move ~64%), far above the global baseline (~6%).
  • Seasonality: A pronounced spike in December, a sharp drop in January–February, and a renewed climb into summer; globally, costs rise modestly into December–February and ease into mid-year.
  • Extremes: Norway peaks in December (89.67) and troughs in February (15.62). The baseline peaks in February (53.89) and is lowest in November (43.19).
  • Trend vs. baseline: Norway is below market in most months, but notably above in December and July.

Selected data: Consulting in Norway (cost-per-purchase)

Period covered: Sep 2024–Jul 2025 (months with data).

  • Average: 42.66
  • High: 89.67 (Dec 2024)
  • Low: 15.62 (Feb 2025)
  • First-to-last change: 25.80 (Sep 2024) to 77.81 (Jul 2025), up about 202%
  • Volatility: Average absolute change of ~64% period-over-period
  • Notable moves:
  • Sep → Oct: +70%
  • Nov → Dec: +120% surge into peak holiday season
  • Dec → Jan: −76% reset post-holidays
  • Feb → May: step-up with +54% (Feb→Apr) and +89% (Apr→May)
  • May → Jul: +71% into summer

Comparison with the global baseline

For the same months:

  • Baseline average: 49.22 (Norway ~13% lower)
  • Baseline high/low: 53.89 (Feb 2025) and 43.19 (Nov 2024)
  • Baseline first-to-last change: 46.60 (Sep 2024) to 46.21 (Jul 2025), down ~0.8% (effectively flat)
  • Baseline volatility: ~5.8% average absolute period-over-period change

Monthly positioning vs. baseline:

  • Below market: Sep (−45%), Oct (−6%), Nov (−6%), Jan (−60%), Feb (−71%), Apr (−54%), May (−11%)
  • Above market: Dec (+74%), Jul (+68%)
  • Interpretation: Norway tends to sit below global rates but exhibits sharp seasonal overages in December and July.

Seasonal patterns and timing

  • Q4 peak: Norway shows a pronounced December spike in cost-per-purchase, exceeding global levels and reflecting heightened holiday demand.
  • Q1 trough: A substantial reset in January–February, with February marking the lowest point.
  • Reacceleration: Costs trend upward from spring into early summer, culminating in a July level well above the global benchmark.
  • Globally: More tempered seasonality—mild uplift through December–February and gradual easing toward mid-year.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Consulting and Norway 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 Consulting industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Norway, 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.

Norway Advertising Landscape

National Holidays

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

Key Shopping Season

Late November (Black Friday/Singles Day), December (Christmas & post‑Christmas sales), Spring holiday period (April–May travel and tourism)

Potential Advertising Impact

CPM and CPC could rise during Easter and Ascension when Norwegians travel or spend time on leisure. Constitution Day (May 17) is widely celebrated—media activity may increase and ad competition could intensify. Most public holidays result in shop closures; ad inventory may shrink during holidays. Pentecost weekend may reduce weekday competition.

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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