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

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Cost Per Purchase for IT Services & Outsourcing in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

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

Key takeaways

  • The United States IT Services & Outsourcing series sits well above market: its 12‑month average cost per purchase is 305.68, about 6.4x the global baseline (47.82). It was above the global level in 10 of 12 months.
  • Volatility is extreme in the selected series (average absolute month‑over‑month change ~101%) versus the baseline’s ~7%. Large swings include a spike in October 2024 and sharp pullbacks in February and September 2025.
  • Seasonality: globally, costs drifted up into December and stayed around the low‑50s through spring before easing into late summer and dropping in September. In the United States IT Services & Outsourcing series, Q4 shows an outsized October peak, with elevated December, renewed surges in January and May, and a pronounced dip by September.

Selected series overview (United States, IT Services & Outsourcing)

  • Average: 305.68; median: 105.74.
  • High: 1,841.95 (Oct 2024); low: 4.64 (Sep 2025).
  • First to last month: from 1,841.95 (Oct 2024) to 4.64 (Sep 2025), a −99.75% change.
  • Volatility: average absolute month‑over‑month percentage change ≈ 101%.
  • Notable spikes/dips:
  • Spikes: Oct 2024 (1,841.95), Jan 2025 (546.34), May 2025 (518.10).
  • Dips: Feb 2025 (40.11), Jun 2025 (53.80), Sep 2025 (4.64).
  • Quarterly lens:
  • Q4 2024 average: 703.83, dominated by October’s spike.
  • Q1 2025 average: 226.48, with a surge in January and a sharp drop in February.
  • Q2 2025 average: 247.24, lifted by May.
  • Q3 2025 average: 45.16, easing steadily into a September low.

Global baseline overview

  • Average: 47.82; median: 48.96.
  • High: 53.89 (Feb 2025); low: 32.29 (Sep 2025).
  • First to last month: from 46.67 (Oct 2024) to 32.29 (Sep 2025), a −30.8% change.
  • Volatility: average absolute month‑over‑month percentage change ≈ 7.0%.
  • Seasonality: a modest lift from November to December (+19.3%), steady levels around 50–54 through May, a gradual easing in summer, and a sharper drop in September.

How the United States IT Services & Outsourcing series compares to global

  • Overall level: about 6.4x above market on average (+539% vs baseline). Even with the October outlier noted, most months remain structurally higher (median 105.74 vs global median 48.96).
  • Monthly positioning: above market in 10 of 12 months; below market only in February (40.11 vs 53.89) and September (4.64 vs 32.29).
  • Volatility: far more variable than the global pattern, with multiple triple‑digit month‑over‑month changes, compared to small single‑digit shifts globally.
  • Seasonal alignment: both series show relatively higher costs around December, but the United States IT Services & Outsourcing pattern is defined by outsized spikes (October, January, May) and a deep late‑summer/early‑fall trough.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry IT Services & Outsourcing and United States 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 United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.