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June 2025 - June 2026
Detailed observation of presented data
The main story: Design’s cost-per-purchase ran materially above the overall benchmark and moved with sharp, irregular momentum — big spikes in early 2026 and deep dips mid‑year created a choppier rhythm than the market. 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’s median cost-per-purchase averaged about $150 from June 2025–May 2026, with a range from a low of ~$88 (July 2025) to a high of ~$288 (April 2026). The series started at $151 in June 2025 and finished at $160 in May 2026 — a modest net rise of roughly 6% over the year, but that end-to-end view masks extreme month-to-month swings.
By contrast the global baseline averaged about $50 over the same months (range $42–$56). That leaves Design roughly 3x the baseline on average — about +200% above the overall benchmark. Key monthly movements read like a roller coaster: a 42% drop in July 2025, a near-doubling (+124%) from December 2025 to January 2026, then a 47% retrenchment into February. From February through April 2026 the metric climbed two sequential ~50% steps before pulling back ~44% into May. Average absolute month-to-month change for Design was about 40% — a high-volatility profile in direct contrast to the baseline’s roughly 6% average monthly moves.
The rhythm shows pockets of relative calm and sudden surges. Late summer (July–September 2025) moved from trough to rebound ($88 → $137), while Q4 (October–December) was comparatively steady with small gains (around $102 → $108). The clearest seasonal swing is the pronounced early‑Q1 lift: January 2026 spikes to a local maximum, followed by a rapid correction in February and then another rise into spring, peaking in April. These swings create episodic windows of elevated cost that interrupt otherwise moderate mid‑year levels.
Compared to the global benchmark, Design’s cost-per-purchase is consistently above average and substantially more volatile. Where the baseline stayed roughly between $42 and $56, Design’s band was $88–$288. The gap is persistent: Design ran about 200% higher on average and showed month-to-month moves that were roughly 6–7× the baseline’s volatility. At its narrowest, Design was about 1.7× the global rate (mid‑summer months); at its widest, it approached ~5.5× the baseline (April 2026 peak).
Understanding Facebook Ads cost-per-purchase benchmarks for the Design industry in All countries available provides a clear data frame for comparing industry ad performance, CPC trends, CPM analysis, CTR performance context, and country-specific ad costs across markets.
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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