Facebook Ads Insights Tool

Facebook Ads CPM Benchmarks for Crypto & Blockchain

Understand how your CPM compares. Dive into benchmark data by industry, region, and campaign type

CPM (Cost Per Mille) for Crypto & Blockchain

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads CPM benchmarks: Crypto & Blockchain vs global trend

This analysis looks at cost-per-thousand-impressions (CPM) 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.

  • Overall, Crypto & Blockchain CPMs averaged 18.44 across Oct 2024–Jan 2025, about 11.8% below the global baseline for the same period (20.90) and ~6.9% below the baseline’s 12‑month average (19.80).
  • Seasonality: a sharp December rise and an even higher January level suggest a strong holiday/post‑holiday effect; the global baseline peaks in November and softens thereafter.
  • Volatility is elevated: average month‑over‑month absolute change in the selected data was 8.25, more than double the baseline’s 3.68 for the overlapping months.
  • Positioning: below market in October and November; above market in December and January.

Selected data overview (Crypto & Blockchain, all countries)

  • Average CPM (Oct 2024–Jan 2025): 18.44
  • High: 29.60 in January 2025
  • Low: 7.63 in November 2024
  • First-to-last change: up 183.9% from October (10.42) to January (29.60)
  • Month-to-month:
  • Oct → Nov: -26.8% (10.42 → 7.63), a notable dip
  • Nov → Dec: +242.1% (7.63 → 26.11), pronounced Q4 spike
  • Dec → Jan: +13.3% (26.11 → 29.60), continued lift
  • Volatility: average absolute MoM change of 8.25; range of 21.97 between the monthly low and high. The December surge and January high are the standout movements.

Comparison to the global baseline

  • Baseline averages:
  • Overlapping months (Oct 2024–Jan 2025): 20.90
  • Full 12 months (Oct 2024–Sep 2025): 19.80
  • Baseline high/low (12 months): 24.67 in November 2024 (high) vs 17.97 in January 2025 (low)
  • Overlapping month MoM moves (baseline): +21.4% in November, then -16.4% in December and -12.9% in January
  • Relative positioning by month (selected vs baseline):
  • October: 10.42 vs 20.32 → ~49% below market
  • November: 7.63 vs 24.67 → ~69% below market
  • December: 26.11 vs 20.63 → ~27% above market
  • January: 29.60 vs 17.97 → ~65% above market
  • Volatility comparison (overlap): selected 8.25 vs baseline 3.68 average absolute MoM change → selected is more than 2x as volatile.
  • Notably, the selected January high (29.60) exceeds the global peak (24.67), indicating a stronger late Q4/early Q1 spike than the broader market.

Seasonal patterns and timing

  • The selected Crypto & Blockchain series shows a pronounced holiday effect: depressed October–November, a sharp December jump, and continued strength into January.
  • The global baseline peaks earlier in November, aligning with typical Q4 advertising pressure, then moderates in December and January.
  • The selected data’s December–January levels sit above market, while pre‑holiday months were below average.

Understanding COST_PER_THOUSAND_IMPRESSIONS 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

Cost Per Mille (CPM) is the cost advertisers pay for 1,000 impressions of their Facebook ad. 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 affects CPM rates on Facebook Ads?

CPMs are heavily influenced by competition, seasonality (e.g., Q4 costs more), audience size, and ad quality. Smaller audiences and lower relevance scores often lead to higher CPMs.

Why does my CPM vary so much between campaigns?

Different campaign objectives, bidding strategies, and even time of day can change your CPM. For example, conversion campaigns usually have higher CPMs than traffic ones. Also, broad targeting tends to drive lower CPMs.

What's a competitive CPM for 2025?

In most industries, CPMs range from $5 to $18 depending on the region and objective. Retail and e-comm campaigns often sit at the higher end. Our live data above shows a breakdown by country and industry.

Does audience size or targeting affect CPM more?

Both matter, but audience quality (intent + match with your offer) usually has more impact than pure size. However, extremely tight audiences often lead to expensive CPMs due to limited delivery opportunities.

Should I worry more about CPM or CPC?

Depends on your goal. For awareness, CPM is more relevant. For performance campaigns, CPC and CPA matter more. But all are connected—inefficient CPMs can inflate your entire funnel.