Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Finance in Spain

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

Cost Per Purchase for Finance in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Finance and target country Spain compared to the global trend; it is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected segment (Finance, Spain) is far below market across all overlapping months, averaging 75.8% lower cost-per-purchase than the global baseline for Sep–Nov 2024.
  • Volatility is exceptionally high in the selected segment, with an average month-to-month change of 71.4% vs just 3.8% in the baseline.
  • A sharp dip occurs after September: -95.9% from September to October, followed by a further -46.8% in November.
  • The global baseline shows typical Q4 seasonality, with costs rising into December and remaining elevated in Q1, a pattern not visible in the selected data due to its shorter time span.

Scope and dataset

  • Metric: cost-per-purchase (median by month)
  • Segment analyzed: Finance industry in Spain (selected_data)
  • Baseline: all industries and countries (global)
  • Period overlap for direct comparison: Sep–Nov 2024

Performance of the selected segment

  • Average (Sep–Nov 2024): 11.00
  • High: 31.08 in Sep 2024
  • Low: 0.67 in Nov 2024
  • First-to-last change (Sep to Nov): -97.8%
  • Volatility (avg absolute month-to-month % change): 71.4%
  • Sep → Oct: -95.9% (31.08 to 1.26)
  • Oct → Nov: -46.8% (1.26 to 0.67)
  • Notable pattern: a pronounced collapse from September into Q4.

Comparison with the global baseline

  • Baseline average (Sep–Nov 2024): 45.49
  • Baseline high/low in the overlap: 46.67 (Oct 2024) / 43.19 (Nov 2024)
  • Selected vs baseline (by month):
  • Sep 2024: 31.08 vs 46.60 → 33.3% below market
  • Oct 2024: 1.26 vs 46.67 → 97.3% below market
  • Nov 2024: 0.67 vs 43.19 → 98.4% below market
  • Overall positioning: The selected segment averages 75.8% below the baseline across the overlapping months.
  • Baseline trend (Sep–Nov): mild softening (-7.3% from Sep to Nov), indicating relative stability vs the selected segment’s steep declines.

Seasonality and volatility signals

  • Global seasonality: The baseline shows a typical Q4 increase, rising from 43.19 in Nov to 51.53 in Dec 2024, then remaining elevated in early Q1 2025 (e.g., Feb 53.89) before easing through summer. This aligns with holiday-driven demand and broader auction pressure.
  • Selected data: Ends in November 2024, so a December/Q1 lift—if any—cannot be observed for Finance in Spain.
  • Relative volatility: The selected segment is markedly more volatile than the baseline, swinging from a September peak to unusually low levels in October and November.

Monthly highlights (selected vs baseline)

  • September 2024: 31.08 vs 46.60 — below market, but closer to global norms than later months.
  • October 2024: 1.26 vs 46.67 — substantial dip, far below average market conditions.
  • November 2024: 0.67 vs 43.19 — lowest point in the series, and furthest below market.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Finance and Spain 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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. For campaigns targeting Spain, 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.

Spain Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Apr 17Maundy Thursday (some regions)
Apr 18Good Friday
Apr 21Easter Monday (some regions)
May 1Labour Day
Aug 15Assumption Day
Oct 13National Day of Spain
Nov 1All Saints' Day
Dec 6Constitution Day
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)

Potential Advertising Impact

CPM and CPC might increase during Semana Santa (Holy Week) and May Day, particularly for travel and tourism campaigns. 'Puentes' (bridge days) could reduce weekday inventory while pre-holiday traffic boosts media consumption. Black Friday typically marks sharp rises in retail competition. Late December brings peak ad volumes and e‑commerce CPM spikes.

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.