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Facebook Ads Cost Per Purchase Benchmarks for Consulting

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Cost Per Purchase for Consulting

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Consulting purchase costs moved through 2025 like a switchback: a steep early-year drop, a forceful midyear climb, and a Q4 peak before a year-end cool-off. Across all countries, Cost per Purchase (CPP) for Consulting averaged about $70.71 for the year, well above the global all‑industry benchmark at $51.65. The category hit its low in March and its high in October, with notably sharper month-to-month swings than the market as a whole. 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 Consulting across all countries compared to the global benchmark.

The story in the data

The year opened elevated at $75.01 in January, then fell hard: February ($45.26) and March ($41.47) marked the trough. From there, CPP rebounded to $73.67 in April and continued higher into summer—$82.73 in June and $76.05 in July—before pushing into its strongest stretch: $88.80 in August, $68.84 in September, and a peak at $94.45 in October. November stayed elevated at $86.13 before December dropped to $54.14.

  • Range: $41.47 (Mar) to $94.45 (Oct), a $53 spread.
  • Average: $70.71 for Consulting vs. $51.65 globally.
  • Volatility: average absolute month-to-month swing of roughly $18.5, about 12x the global benchmark’s steadier $1.6.

Only four of the 11 monthly transitions were increases (Apr, Jun, Aug, Oct), but they were large gains. The sharpest monthly moves were +$32.20 in April and −$31.99 in December. H1 averaged $63.35; H2 stepped up to $78.07, a 23% lift.

Seasonal and monthly dynamics

Q1 was the softest stretch, with CPP sliding from January’s elevated level into a February–March trough—typical of lighter early‑year competition in many markets. Q2 represented the turn, led by April’s surge and June’s higher costs. Q3 held the higher plateau, with August among the peak months. Q4 reflected classic end‑of‑year pressure: a pronounced rise into October–November followed by a December reset, when CPP retreated close to midyear levels.

Country vs. Global

Consulting CPP sat above the global benchmark in 10 of 12 months, and the gap was substantial for most of the year. On average, Consulting ran about 37% higher than the market. The spread varied widely:

  • Narrowest point: March ran 22% below the global average (Consulting $41.47 vs. global $52.92), and February was 17% below—brief windows when the category undercut the market.
  • Typical gap: from May through September, Consulting hovered 18% to 67% above global levels.
  • Widest point: November was 82% above the global benchmark (Consulting $86.13 vs. global $47.32), with October close behind at +79%.

While the global trend drifted slightly downward across the year (Q1 to Q4 average from $53.61 to $49.25), Consulting across all countries became more expensive into the back half, culminating in an October–November crest.

Closing

Understanding Facebook Ads benchmarks for Cost per Purchase in the Consulting industry across all countries shows a market that is structurally above the global average, highly seasonal, and notably more volatile than all‑industry patterns. This CPP analysis helps situate Consulting industry ad performance within broader Facebook Ads benchmarks and country‑specific ad costs, clarifying how the category compares to global CPC trends, CPM analysis signals, and overall CTR performance baselines.

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. 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.