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Facebook Ads Cost Per Purchase Benchmarks for Crypto & Blockchain in India

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Cost Per Purchase for Crypto & Blockchain in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for Crypto & Blockchain in India compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No India-specific observations were available for the selected period, so relative positioning versus the market (above/below/in line) cannot be determined.
  • Globally, cost-per-purchase averaged 47.99 over the past 12 months, with a high of 53.89 (February 2025) and a low of 32.29 (September 2025). The series ended 30.8% lower than it started.
  • Seasonality is evident: costs climbed through December–February, then eased into summer, with a sharp drop in September.

What’s in scope

  • Metric: cost-per-purchase
  • Industry: Crypto & Blockchain
  • Country: India (selected data)
  • Baseline: global aggregate

Selected data (India, Crypto & Blockchain)

  • Data availability: No monthly medians were provided for India in the selected period. As a result, averages, highs/lows, and volatility for India cannot be computed from this dataset.
  • Interpretation: With no in-market readings, India cannot be positioned as above market, below average, or in line with overall trends at this time.

Global baseline benchmarks

  • Overall level:
  • Average across the period: 47.99
  • Median of monthly medians: 48.96
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range (high–low): 21.60
  • Change from first to last month: -30.8% (from 46.67 in October 2024 to 32.29 in September 2025)
  • Volatility:
  • Average month-over-month absolute movement: 3.25
  • Largest monthly increase: +8.34 from November to December 2024
  • Largest monthly decrease: -13.40 from August to September 2025
  • Distribution:
  • 6 of 12 months were above 50 (December through May), indicating an elevated Q4–Q1 period.

Seasonal patterns and timing

  • The baseline shows a clear rise into late Q4 and Q1, with December–February delivering the highest cost-per-purchase levels.
  • After March, costs gradually softened through summer before a pronounced dip in September. This aligns with typical Facebook Ads dynamics where costs often rise around peak retail and promotional periods in Q4, then moderate.

Comparison: India vs global

  • Because no India data points are present, a direct comparison to the global benchmark cannot be made. Marketers should interpret the global series as context-setting for Crypto & Blockchain cost-per-purchase levels rather than a localized benchmark for India.

Why this matters for marketers

  • Even without local readings, the global Crypto & Blockchain benchmarks on Facebook Ads show when cost-per-purchase tends to be elevated (Q4–Q1) and when it typically eases (late Q2–Q3), with a notable September low in the latest year.
  • Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain and India 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. For campaigns targeting India, advertisers should consider local market factors and user behavior. 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.

India Advertising Landscape

National Holidays

Jan 26Republic Day
Mar 14Holi
Apr 18Good Friday
May 1Labour Day
Aug 15Independence Day
Oct 2Mahatma Gandhi Jayanti
Oct 21Diwali
Dec 25Christmas Day

Key Shopping Season

October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)

Potential Advertising Impact

CPMs might spike significantly during Diwali, especially in electronics, apparel, jewellery, and gifts. Black Friday/Cyber Monday and December could drive elevated ad competition. State-specific festivals might see regional campaign spikes. Bank closures during holidays may push online shopping to cluster in end-of-week periods.

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.