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Facebook Ads Cost Per Purchase Benchmarks for Consulting in Spain

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

Cost Per Purchase for Consulting in Spain

October 2024 - October 2025

Insights

Detailed observation of presented data

This analysis looks at cost-per-purchase trends for industry Consulting and target country Spain compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • Overall positioning: Consulting in Spain is below market in 9 of 10 months. A single March surge lifts the full-period average above the global benchmark.
  • Typical level: Median cost-per-purchase is 20.15 (mean excluding March: 21.32), roughly 55–60% lower than the global average (49.59) over the same months.
  • Volatility: Spain shows higher month-to-month swings (about 40% average absolute change excluding March) versus the global trend (~5%).
  • Seasonality: Both series show a December rise; the global baseline peaks in February and gently softens into summer.
  • Trend: From October to July, Spain declines 34%, while the global baseline is nearly flat (-1%).

Selected data: Consulting in Spain (COST_PER_PURCHASE)

  • Period covered: Oct 2024–Jul 2025 (10 months).
  • Average including all months: 82.18, skewed by a March spike.
  • Median: 20.15; mean excluding March: 21.32.
  • High/low: High in March at 629.91; low in July at 10.43.
  • First-to-last change: 15.85 (Oct) to 10.43 (Jul), down 34%.
  • Notable month-to-month moves:
  • Oct→Nov: +6.4% (15.85 to 16.87).
  • Nov→Dec: +64.9% (holiday lift to 27.82).
  • Dec→Jan: -28.9% (down to 19.78).
  • Jan→Feb: -18.2% (to 16.18).
  • Feb→Mar: +3,792% (to 629.91; a clear outlier).
  • Mar→Apr: -96.1% (normalizes to 24.57).
  • Apr→May: +62.2% (39.85).
  • May→Jun: -48.5% (20.52).
  • Jun→Jul: -49.2% (10.43).
  • Volatility: Excluding the March anomaly, the average absolute month-to-month change is ~39.8%, indicating a relatively choppy cost environment.

Baseline comparison (global)

  • Period matched to selected months (Oct 2024–Jul 2025).
  • Average: 49.59.
  • High/low: High in February at 53.89; low in November at 43.19.
  • First-to-last change: 46.67 (Oct) to 46.21 (Jul), down ~1.0%.
  • Volatility: Average absolute month-to-month change ~5.1%.
  • Seasonal pattern: November dip, December increase, highest in February, then gradual easing through early summer—consistent with common Q4/Q1 dynamics.

How Spain compares to the global benchmark

  • In 9 of 10 months, Spain’s Consulting cost-per-purchase is below the baseline—often materially so. Using a typical month view (median 20.15 or mean ex-March 21.32), Spain sits roughly 57–59% below the global average (49.59).
  • The March spike pushes the full-period mean to 82.18, which is about 66% above the global average; however, the median and month-by-month pattern indicate this is an outlier rather than a sustained shift.
  • Seasonal signals align: both series rise in December, and the global market peaks in February while Spain trends lower into summer.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Consulting 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 Consulting industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.