Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Consulting

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

Cost Per Purchase for Consulting

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • This analysis looks at cost per purchase trends for industry Consulting and target country all countries available compared to the global trend.
  • Across Oct 2024–Aug 2025, Consulting runs well above market: average cost per purchase of 124.51 versus a 49.24 global baseline (+153% higher, or 2.53x).
  • Strong Q4 seasonality: costs surged into December (peak 246.03), followed by a sharp post-holiday correction into February (low 36.90).
  • Volatility is elevated in Consulting (average absolute month-to-month move 38.7%) versus a steady global baseline (4.7%).
  • Overall trajectory in Consulting declined 38.6% from October to August; the baseline dipped a mild 2.1% over the same period.

Overview of the selected trend

  • Period analyzed: Oct 2024–Aug 2025.
  • Average: 124.51. High: 246.03 (Dec 2024). Low: 36.90 (Feb 2025).
  • Direction: from 156.37 (Oct 2024) to 95.94 (Aug 2025), a 38.6% decrease.
  • Notable movements:
  • Q4 lift: Oct to Dec rose +57% as holiday competition intensified.
  • Post-holiday reset: Dec to Feb fell sharply (−85% from the Dec peak to Feb low).
  • Spring rebound: Feb to Apr climbed +201% (36.90 to 110.94), then stabilized around 120 in May–June.
  • Summer softness: July dipped to 76.56 (−36% MoM), with a partial recovery in August (+25% MoM to 95.94).
  • Volatility: average absolute MoM change of 38.7%, signaling large month-to-month swings.

Comparison with the global baseline

  • Baseline average: 49.24. High: 53.89 (Feb 2025). Low: 43.19 (Nov 2024).
  • Direction: from 46.67 (Oct 2024) to 45.69 (Aug 2025), a 2.1% decline.
  • Volatility: average absolute MoM change of 4.7%—relatively stable.
  • Relative positioning:
  • Above market overall: Consulting’s average cost per purchase is 2.53x the baseline.
  • Peak comparison: Consulting’s December peak (246.03) was 4.56x the baseline’s period high (53.89).
  • Floor comparison: Consulting’s February low (36.90) dipped 25% below the baseline average and 15% below the baseline’s period low (43.19), demonstrating wide dispersion.

Seasonality and volatility signals

  • Seasonal pattern aligns with expected Facebook Ads benchmarks: costs typically increase in Q4 around holiday periods, then normalize in Q1.
  • Consulting shows amplified seasonality versus the global trend—bigger Q4 uplift and a steeper January–February reset.
  • Through spring and early summer, Consulting tracked closer to 110–122 before easing in July, mirroring broader summer softness but with larger amplitude.

Monthly highlights (selected series)

  • Peak: 246.03 in Dec 2024.
  • Trough: 36.90 in Feb 2025.
  • Stabilization zone: Apr–Jun ranged between 110.94 and 121.59.
  • Summer dip and rebound: 76.56 in Jul, back to 95.94 in Aug.

Understanding cost per purchase benchmarks on Facebook Ads in industry Consulting 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 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.