See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
All industries in Spain posted a markedly cheaper Cost per Purchase than the global benchmark for most of the past year, punctuated by one outsized summer spike that briefly pushed costs well above market. The rhythm is otherwise steady-to-soft: a gentle Q4 lift into December, a muted Q1, a spring trough, and a late-year reset after that August surge. Volatility is the headline—Spain’s monthly swings were far sharper than the global pattern, yet the year began and ended almost exactly where it started.
This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for all industries in Spain compared to the global benchmark.
Spain’s Cost per Purchase started at 25.78 in November 2024 and closed at 25.88 in November 2025—effectively flat year over year (+0.4%). The period averaged 35.25, but the median was much lower at 25.88, underscoring how one extreme month lifted the mean. The low came in October 2025 at 14.62, while the high landed in August at 131.62—a 9x jump from July.
Month-to-month, the narrative moved in clear pulses:
Volatility averaged 26.45 points per month on an absolute basis, though the typical (median) monthly move was nearer 9.4—a sign of generally modest shifts interrupted by a few outsized jumps, especially August.
Seasonally, Spain showed a light Q4 build into December, a soft Q1, and a spring low in April. The mid-year stretch was two-paced: a May–June rebound, a July dip, and then a sharp August spike with a swift September–October correction. By November, costs had stabilized around late-2024 levels.
This cadence differs from a classic global pattern where costs often firm in Q4 and early Q1. Spain’s standout moment came in Q3, where a single-month surge overwhelmed the quarter’s averages and set up a pronounced correction heading into Q4.
Relative to the global Facebook Ads benchmarks, Spain ran consistently below market. Spain averaged 35.25 versus the 48.06 global average—about 27% cheaper across the period. Spain trailed the global benchmark in 12 of 13 months; the gap was narrowest in September (11% below global) and widest in October (about 68% below). The exception was August, when Spain’s cost per purchase spiked 161% above the global level (131.62 vs. 50.41).
Trend-wise, the global series was steadier. Global costs hovered in a tight band near 49–54 from December through September before easing into October and dropping to a period low of 30.61 in November. Absolute monthly volatility on the global series averaged 3.45 points (median ≈2.0), far calmer than Spain’s swings.
In summary, Facebook Ads cost-per-purchase benchmarks for all industries in Spain show a year defined by lower country-specific ad costs versus the global average, interrupted by a singular Q3 surge and a swift reset into Q4. Understanding these Cost per Purchase trends—alongside broader CPC trends, CPM analysis, and CTR performance—helps situate Spain’s industry ad performance relative to global patterns.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.
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.
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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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.
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Late November–early December (Black Friday/Cyber Monday), Mid-August (summer promotions), December (Christmas & post-Christmas sales)
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.
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.
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.
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.
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.
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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