Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Marketing & Advertising

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

Cost Per Purchase for Marketing & Advertising

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B in Facebook Ads data, Marketing & Advertising across all countries shows a median cost per purchase that is 52% above the global baseline on average (72.86 vs. 47.82).
  • The series is highly volatile: average month-to-month movement is 28.64 versus just 3.25 in the baseline, driven by a sharp January spike and a September drop.
  • Seasonal shape differs from typical patterns: Q4 2024 is well below market, Q1 2025 surges far above, and both series dip in September.
  • 8 of 12 months are above the global trend; only October–December and September come in at or below the baseline.

What this analysis covers

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

Selected series overview (Marketing & Advertising, all countries)

  • Average: 72.86
  • High: 135.87 in January 2025
  • Low: 21.17 in November 2024
  • Range: 114.70
  • Change from first to last month: +0.06% (30.92 in Oct 2024 to 30.94 in Sep 2025), indicating a flat finish despite large intra-year swings.
  • Volatility: average absolute month-to-month change of 28.64.
  • Notable spikes/dips:
  • +109.31 from December to January (26.56 to 135.87)
  • +23.12 from July to August (83.12 to 106.24)
  • −75.30 from August to September (106.24 to 30.94)
  • Seasonal patterns:
  • Q4 2024 is low (average 26.22), then a significant Q1 lift (average 109.92).
  • Q2 remains elevated (81.86) and Q3 moderates (73.43) with a sharp September drop.

Comparison to the global baseline

  • Overall level: The selected series averages 72.86 vs. 47.82 globally (+52% above market).
  • Highs/lows:
  • Selected high 135.87 (Jan) vs. baseline high 53.89 (Feb).
  • Selected low 21.17 (Nov) vs. baseline low 32.29 (Sep).
  • Volatility: Selected 28.64 average MoM change vs. 3.25 in the baseline, indicating far greater fluctuation.
  • Seasonal contrast:
  • Q4 2024: Selected 26.22 vs. baseline 47.13 (−44% below market).
  • Q1 2025: Selected 109.92 vs. baseline 52.94 (+108% above market).
  • Q2 2025: Selected 81.86 vs. baseline 49.83 (+64% above market).
  • Q3 2025: Selected 73.43 vs. baseline 41.39 (+77% above market).
  • Month-by-month positioning:
  • Below baseline: Oct–Dec 2024; slightly below in Sep 2025 (−4%).
  • Above baseline: Jan–Aug 2025, peaking in Jan (+160%) and Aug (+133%).
  • Trajectory vs. baseline:
  • Baseline declines from 46.67 to 32.29 (−31%) across the period.
  • Selected finishes flat due to the September correction after elevated Q1–Q3.

Seasonal notes for marketers

  • Q4 2024 runs below market in this industry view, while Q1 shows a pronounced surge.
  • Both the selected series and the global baseline see a late-Q3/September dip.

Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry Marketing & Advertising 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 Marketing & Advertising 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.