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
Design advertisers spent the past year on a very different cost curve than the broader market. While the global benchmark for cost per purchase (CPP) stayed remarkably steady around the low-$50s, Design across all countries swung from sub-$100 in late 2024 to nearly $500 at the March crest before easing into fall. The result is a market that was consistently above the global benchmark and markedly more volatile, with Q1–Q2 setting the tone for elevated acquisition costs and a later summer plateau. 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 the Design industry across all countries compared to the global benchmark.
Across all countries, Design CPP averaged about $300 over the 12-month window, ranging from a low of $83 in December to a high of $489 in March. The period opened at $91 in November 2024 and closed at $238 in October 2025—an end-to-end lift of roughly 161%, even after the spring peak cooled.
Momentum was dramatic early in the year: December’s trough ($83) vaulted to $276 in January and $273 in February, then spiked to $489 in March and held near that level in April ($483). Costs moderated through May ($434) and fell sharply into June ($243), effectively halving from the April plateau. A mid-summer rebound took CPP to $343 in July and $352 in August before softening into September ($294) and October ($238). Month-to-month volatility averaged about $81, with the largest jumps in February–March (+$216) and December–January (+$193), and the steepest pullback in May–June (−$191).
Seasonality showed a clear rhythm. Q4 2024 was softer for Design (mid-$80s to low-$90s), then acquisition costs escalated sharply across Q1, peaking in March and staying elevated into April. Mid-year brought a decisive correction by June, followed by a late-summer stabilization in a tighter band near the mid-$300s. Early fall eased further: September dipped ~17% from August, and October retreated another ~19% from September, ending the period about 21% below the annual Design average. This pattern contrasts with typical Q4 competitive pressure seen broadly, where CPP usually nudges up but not to the extremes observed in Design’s Q1–Q2 arc.
The global benchmark averaged $49, moving within a narrow corridor of $43–$54 across the year. Its month-to-month volatility was minimal—about $2.6 on average—versus Design’s $81, making the Design market roughly 31 times more volatile. Relative to that baseline, Design CPP was higher every month, by a wide margin: the gap was narrowest in December (+66% vs. global) and widest in March–April (+833% to +836%, about 9.3–9.4x the benchmark). On average, Design’s CPP sat around six times the global level. While the global trend was steady with a slight year-over-year uptick (+2%), Design traced a far choppier trajectory—soaring in Q1, easing mid-year, then settling below its own average into fall.
Facebook Ads benchmarks for cost per purchase show a distinct pattern: the Design industry across all countries operated at materially higher and more variable acquisition costs than the global market, with a Q1–Q2 surge, a mid-year reset, and a gentler landing into Q4. Understanding Facebook Ads cost-per-purchase benchmarks for the Design industry across all countries helps marketers evaluate industry ad performance, country-specific ad costs in aggregate, and how CPP trends compare to global CPM analysis and CTR performance baselines.
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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