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Facebook Ads Cost Per Purchase Benchmarks for Crypto & Blockchain

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Cost Per Purchase for Crypto & Blockchain

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Crypto & Blockchain is starting 2025 with an unusually high cost to convert. In January, the worldwide median Cost Per Purchase reached $144.70 across all countries—roughly 2.7x the global all‑industry benchmark for the same month. While the global curve subsequently softened through the year, this category’s opening print sits well outside the broader market’s typical range, signaling a materially higher price to acquire purchasers in Crypto & Blockchain.

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 Crypto & Blockchain across all countries compared to the global benchmark.

The story in the data

  • Starting point: Crypto & Blockchain posted a January Cost Per Purchase (CPP) of $144.70.
  • Global comparison: The global benchmark in January was $53.25, placing Crypto & Blockchain +$91 above market, or about +172%.
  • Global trajectory: Across 2025, the global CPP averaged $51.40, easing from $53.25 in January to $45.08 by December (−15% from start to finish). The year’s high came in February at $54.80; the low landed in December at $45.08.
  • Movements: The global series was generally steady with average month‑to‑month absolute moves of about $1.77. Notable exceptions included a brief August lift (+$3.79 vs. July) and a sharp November step‑down (−$5.51 vs. October).

Seen against that backdrop, Crypto & Blockchain’s January level sits not just above the global average, but above the entire global monthly range of roughly $45–$55. Versus the global high of $54.80 (February), the category’s January CPP was still about 2.6x.

Seasonal and monthly dynamics

The global market shows a familiar rhythm: a mild rise into February, a gradual mid‑year drift around the low‑$50s, and a pronounced softening into November and December where CPP reached the annual low. This late‑year easing suggests conversions became relatively more affordable in the broader market as the year closed.

For Crypto & Blockchain, the available January read opens the year at a high absolute level relative to the market. Without additional months, seasonality within the category remains to be observed, but the single data point indicates a materially steeper purchase cost than typical Facebook Ads benchmarks across industries.

Country vs. Global

Across all countries, Crypto & Blockchain’s January CPP outpaced the global benchmark by approximately 172% (2.7x). Relative to the global 2025 average of $51.40, that January print sits about 180% higher. Framed against the tight global band—from a $54.80 peak to a $45.08 trough—the category’s premium is wide: at its narrowest gap (vs. the global monthly high), Crypto & Blockchain was about 164% above global CPP; versus the global monthly low, the gap widened to roughly 221%. While the global series moved in small monthly steps (about $1.8 on average), the category’s premium dwarfs those baseline oscillations.

Closing

Understanding Facebook Ads benchmarks for Cost Per Purchase in Crypto & Blockchain across all countries highlights a category with significantly higher purchase costs than the global norm. This CPP view complements broader CPC trends, CPM analysis, and CTR performance studies, helping frame industry ad performance within a global context.

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.