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July 2025 - July 2026
Detailed observation of presented data
The headline: cost-per-purchase for Design across All countries available ran materially above the global benchmark and grew dramatically into mid‑2026, with extreme month-to-month swings late in the series. 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 Design in All countries available compared to the global benchmark.
Design cost-per-purchase began at $151 in June 2025 and finished the series at $925 in June 2026 — a roughly 512% increase from start to finish. Across the 13 months the Design median cost-per-purchase averaged about $213, with a low near $88 (July 2025) and a peak at $925 (June 2026). By contrast the global baseline (the benchmark) averaged about $48 over the same period, ranging from $25.50 (June 2026) to $55.54 (March 2026). In absolute terms Design ran roughly 4.4x the global benchmark on average.
Key monthly movements read like a roller coaster: an early summer dip (-42% June→July 2025), a rebound into September (+40% Aug→Sep), a triple-digit jump into January 2026 (+124% Dec→Jan), followed by a sharp fall in February (−47%), and then another sequence of steep rises into April (+46% Mar→Apr) and the outsized surge May→June 2026 (+396%). Those two late spikes produced the series’ high-water mark.
Seasonal rhythm is present but uneven. Late‑year months (Oct–Dec 2025) sat in the mid‑$100s before a large jump in January 2026, then a jagged spring with peaks in March and April and a dramatic breakout into June 2026. The pattern diverges from more muted media-season norms: instead of a steady Q4 compression and Q1 rebound, Design saw multi-month volatility punctuated by two major uplifts (Jan and Jun 2026). The baseline shows more typical seasonal movement — modest Q1 uptick into March and a pronounced baseline drop into June 2026 — but none of the extreme amplitude shown by the Design series.
Relative framing makes the gap clear. On average Design’s cost-per-purchase was about 4.4 times the global benchmark; at the narrowest point (July 2025) it was roughly 1.8x the baseline, and at the widest (June 2026) it was more than 36x. Volatility contrasts sharply: Design’s average absolute month-to-month change was roughly 69% versus about 8.7% for the global baseline — roughly eight times more volatile. While broader Facebook Ads benchmarks for CPC trends, CPM analysis and CTR performance often show single-digit month-to-month moves, Design cost-per-purchase in All countries available displayed outsized swings and sporadic spikes.
Understanding these shifts helps frame how industry ad performance for Design compares to global patterns across country-specific ad costs and cross-metric benchmarks like CPC and CPM analysis.
Understanding Facebook Ads cost-per-purchase benchmarks for Design in All countries available provides a clear data-grounded view of how purchase costs diverged from the global baseline.
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 Design industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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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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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