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

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Cost Per Purchase for Crypto & Blockchain in Brazil

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • No monthly observations were recorded for Crypto & Blockchain in Brazil over the period reviewed, so a direct comparison to the global baseline is not possible.
  • The global baseline for cost-per-purchase averaged 47.82, with a high of 53.89 in February and a low of 32.29 in September.
  • Volatility in the global series averaged about 7% month over month, with a sharp December spike (+19.3% vs. November) and a steep September drop (-29.3% vs. August).
  • From October 2024 to September 2025, the global baseline declined by 30.8%.
  • Seasonality is visible: costs lift into December, remain elevated through Q1, then ease mid-year before a pronounced late-Q3 correction.

Introduction and scope

This analysis looks at cost-per-purchase trends for industry Crypto & Blockchain and target country Brazil compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. The focus is on Facebook Ads benchmarks and broader advertising cost trends, including seasonality and volatility.

Selected segment: Crypto & Blockchain in Brazil

  • Data availability: No selected_data points were available for the timeframe provided (Oct 2024–Sep 2025).
  • As a result, averages, highs/lows, month-to-month changes, and seasonal patterns cannot be computed for the selected segment.

Global baseline trends (all industries, all countries)

  • Average cost-per-purchase: 47.82 across the 12 months.
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • First-to-last change: Down 30.8% from October 2024 (46.67) to September 2025 (32.29).
  • Notable spikes/dips:
  • December 2024: +19.3% vs. November (seasonal holiday lift).
  • September 2025: -29.3% vs. August (largest monthly decline in the period).
  • Volatility: Average absolute month-over-month change of ~7%. Most months moved within ±2% to ±8%, except for December’s surge and September’s drop.

Seasonality and context

  • Q4 effect: Costs typically increase around holiday periods. Here, November dipped but December saw a strong rebound, consistent with elevated end-of-year demand.
  • Q1 stability: January–March remained comparatively high (52–54 range), indicating sustained post-holiday demand.
  • Mid-year easing: April–August trended lower and steadier, followed by a pronounced correction in September.

Comparison to the selected segment

  • Relative positioning (above market, below average, or in line) cannot be determined due to the absence of selected segment data for Crypto & Blockchain in Brazil during this period.
  • The global baseline therefore serves as the only directional reference for understanding cost-per-purchase behavior over the timeframe.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Crypto & Blockchain and Brazil 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 Brazil, 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.

Brazil Advertising Landscape

National Holidays

Jan 1New Year's Day
Mar 3–4Carnival
Apr 18Good Friday
Apr 21Tiradentes Day
May 1Labour Day
Jun 19Corpus Christi
Sep 7Independence Day
Oct 12Our Lady of Aparecida (Children's Day)
Nov 2All Souls' Day
Nov 15Republic Proclamation Day
Nov 20Black Awareness Day
Dec 25Christmas Day

Key Shopping Season

December (Christmas), Late November (Black Friday), Children's Day (Oct 12)

Potential Advertising Impact

CPM and CPC might rise around Carnival and Independence Day due to increased social activity. Children's Day (Oct 12) and Black Friday could see sharp spikes in competition. December (Christmas) may surge e‑commerce traffic, prompting high CPMs. Extended holiday weekends could shift ad engagement patterns.

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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