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Facebook Ads Cost Per Purchase Benchmarks for Crypto & Blockchain

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

Cost Per Purchase for Crypto & Blockchain

October 2024 - October 2025

Insights

Detailed observation of presented data

This analysis looks at cost-per-purchase trends for industry Crypto & Blockchain and target country All countries available 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

  • Crypto & Blockchain cost-per-purchase ran about 2.6x above the global baseline on average (128.20 vs. 48.43), indicating costs were well above market.
  • The series was highly volatile: two consecutive declines in October–December followed by a sharp rebound in January. Average month-to-month change was roughly 58% in absolute terms, far higher than the baseline’s ~9%.
  • Seasonal pattern differed from the typical Q4 lift seen in broader markets: December showed the lowest cost in the selected data, while the baseline rose in December and edged up again in January.
  • From the first to the last observed month, the selected series declined 13.5%, while the baseline increased 12.1% over the same window.

Selected trend overview

  • Average: 128.20
  • High: 167.22 (October 2024)
  • Low: 69.79 (December 2024)
  • Range: 97.43
  • Month-to-month changes:
  • October → November: -21.6% (167.22 → 131.10)
  • November → December: -46.8% (131.10 → 69.79)
  • December → January: +107.3% (69.79 → 144.70)
  • First to last month change (October 2024 → January 2025): -13.5%

Notable movements:

  • A pronounced dip in December marks the series’ trough, followed by a sharp rebound in January back near the Q4 average.
  • Volatility was driven by large swings across consecutive months, with the January jump more than doubling December’s level.

Comparison with the global baseline

To keep comparisons consistent, results are aligned to October 2024–January 2025.

  • Baseline average: 48.43 (selected average is ~2.65x higher, or about +165% above market)
  • Baseline high/low: 52.31 (January 2025) / 43.19 (November 2024); range 9.12
  • Baseline month-to-month changes:
  • October → November: -7.5% (46.67 → 43.19)
  • November → December: +19.3% (43.19 → 51.53)
  • December → January: +1.5% (51.53 → 52.31)
  • Baseline first to last month change: +12.1%

Positioning:

  • Levels: Above market across all overlapping months (highs and lows alike were higher than the global series).
  • Volatility: The selected data was far more volatile than the baseline, which showed modest, steady movements.
  • Seasonality: The baseline rose into December and held in January—consistent with typical Q4/holiday pressure—while Crypto & Blockchain showed an atypical December dip before rebounding strongly in January.

What this means for benchmarks

Crypto & Blockchain cost-per-purchase across All countries available sat materially above the global benchmark, with heightened month-to-month variability and a notable December deviation from broader seasonal patterns. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain 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 Crypto & Blockchain 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.

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