Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for IT Services & Outsourcing

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

Cost Per Purchase for IT Services & Outsourcing

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B in advertising data, the IT Services & Outsourcing cost-per-purchase is highly volatile, with sharp Q4 and late-spring spikes and deep mid-year troughs.
  • Average selected cost-per-purchase is 85.45, about 79% above the global baseline average of 47.82, driven by extreme peaks in April–May.
  • First-to-last month change in the selected series is -83.5% (28.08 in Oct 2024 to 4.64 in Sep 2025), versus -30.8% for the baseline.
  • Seasonality is pronounced: costs climb in Q4 (Nov–Dec), surge in April–May, soften in June–July, and drop sharply in September.
  • Relative positioning varies by month: above market in Nov, Dec, Apr, May, and Aug; below average in the remaining seven months.

Scope and context

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

Selected time series highlights

  • Overall level:
  • Average: 85.45; Median: 32.12
  • High: 372.72 (May 2025); Low: 4.64 (Sep 2025)
  • Range: 368.08
  • Trend and seasonality:
  • Q4 lift: 112.24 in November and 149.81 in December.
  • Reset in January (23.14) and February (17.34).
  • Major upswing in April (169.82, +369.7% MoM) and peak in May (372.72, +119.5% MoM).
  • Sharp declines in June (23.82, -93.6% MoM) and September (4.64, -93.5% MoM).
  • Volatility:
  • Average absolute month-to-month change: ~146.8%, indicating extreme variability.

Baseline overview (global)

  • Average: 47.82; Median: 48.96
  • High: 53.89 (Feb 2025); Low: 32.29 (Sep 2025)
  • First-to-last change: -30.8%
  • Volatility: ~7.0% average absolute month-to-month change, showing a stable, narrow band compared to the selected series.
  • Seasonality: modest rise through February, gradual easing into summer, with a notable drop in September.

Comparison to the global baseline

  • Level comparison:
  • Selected average is about 79% higher than baseline (85.45 vs 47.82).
  • Peaks are far above market (May 2025 is ~6.9x the baseline high).
  • Lows can be well below market (September is below the baseline low).
  • Month-by-month positioning:
  • Above market: November, December, April, May, August.
  • Below average: October, January, February, March, June, July, September.
  • Stability:
  • The selected series is far more volatile than the baseline (146.8% vs 7.0% average MoM variability), with outsized swings driving the higher average despite a majority of months being below baseline.

Seasonal patterns to note

  • Costs typically increase in Q4 around holiday periods, visible in the November–December rise.
  • A pronounced spring surge (April–May) stands out for IT Services & Outsourcing across all countries available.
  • Mid-year softening (June–July) and a steep September drop align with broader easing in the global trend, though the selected series moves more dramatically.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry IT Services & Outsourcing and All countries available 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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.