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Facebook Ads Cost Per Purchase Benchmarks for IT Services & Outsourcing

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Cost Per Purchase for IT Services & Outsourcing

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Across all available countries, Facebook Ads cost-per-purchase for IT Services & Outsourcing tracked well below the global benchmark for most of 2025, before a dramatic Q3 spike rewrote the year’s average. The story is a tale of two regimes: stable, comparatively efficient costs from January through July, followed by outsized August and October surges and a return to more typical levels by November. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for IT Services & Outsourcing across all countries compared to the global benchmark.

The story in the data

The year opened at $24.01 in January and drifted lower to a mid-year low of $13.74 in July (−43% from January). Then the curve broke: August jumped to $411.23, October followed at $273.88, and November reset to $30.34—still 26% above January but far from the Q3 peak. Across the nine reported months, the average cost per purchase was $92.6, but that figure is skewed by those two spikes. Excluding August and October, the typical month averaged $21.2, tightly clustered between $13.74 and $30.34.

Volatility mirrored that split. Month-to-month movement averaged about $100.6 in absolute terms across the full series, yet outside the August–October shock, stepwise volatility was roughly $5.3—small, steady changes punctuated by brief extremes. The peak-to-trough swing (August vs. July) approached 30x, underscoring how concentrated the turbulence was in late Q3.

Seasonal and monthly dynamics

From January through July, costs eased progressively, with modest oscillations and a mid-year trough in July. The August spike marked a sharp break from that cadence, partially unwinding by October and then largely normalizing in November. By contrast, the global benchmark moved in a narrow band for most of the year, drifting from the mid-$50s early on to the upper-$40s by November. In short: the global curve was steady, while IT Services & Outsourcing across all countries showed a calm first half, a dramatic Q3 lift, and a late-year reversion.

While many categories often face higher competition later in the year, the global baseline here actually softened into November, suggesting category-specific dynamics were at play rather than broad platform inflation.

Country vs. Global

Relative to the overall Facebook Ads benchmarks, IT Services & Outsourcing sat below market in seven of nine observed months:

  • January–July: consistently 54–72% below the global benchmark (narrowest early-year gap in January, −55%; widest in July, −72%).
  • August: +673% vs. global (7.7x), the year’s outlier high.
  • October: +419% vs. global (5.2x).
  • November: −36% vs. global, the narrowest gap of the year below benchmark.

On levels, the industry averaged $92.6 across the reported months versus the global average of $51.8 for the same months; excluding the August–October surge, it averaged $21.2, about 59% below global. On momentum, the global trend eased ~11% from January to November, while the industry path was choppier: −43% into July, +2,893% into August, and −89% into November. Volatility also differed: global month-to-month shifts averaged about $1.72, versus roughly $5.3 for the industry in calm periods—and about $100 when the Q3 shock is included.

Closing

These Facebook Ads benchmarks highlight how cost per purchase for IT Services & Outsourcing across all countries typically runs well below the global average, with rare but extreme Q3 surges dominating the annual picture. While this view centers on cost-per-purchase, it sits alongside CPC trends, CPM analysis, and CTR performance as part of broader industry ad performance and country-aggregated ad costs. Understanding cost-per-purchase benchmarks for IT Services & Outsourcing across all countries helps teams gauge how this category compares to global patterns over 2025.

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.