Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Design

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

Cost Per Purchase for Design

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

The Design industry ran hot on cost per purchase across all countries, charting a year defined by sharp surges and an elevated cost floor versus the market. After a soft entry in late 2024, CPP lifted dramatically through Q1 2025, peaked in March–April, and then cooled into autumn with a modest rebound at the end of the period. Volatility was a defining feature: big month-to-month swings contrasted with the steadier global baseline.

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 across all countries compared to the global benchmark.

The story in the data

Design started at 91 in November 2024, slipped to its low of 83 in December, then surged to 276 in January and 273 in February before spiking to a year-high 489 in March (482 in April). The metric averaged 296 over the 13-month window, with five months clearing the 300 mark (March, April, May, July, August). After the spring peak, CPP fell to 243 in June, bounced to 343–352 in midsummer, eased to 294 in September and 224 in October, and ended at 263 in November 2025—up 188% from the prior November.

Month-to-month movement averaged 78 points, underscoring a choppy trajectory. The biggest lifts were December to January (+193) and February to March (+216), while the steepest pullback hit May to June (−191). Compared with the global cross-industry baseline, which moved an average of 3.45 points monthly, Design’s CPP was far more volatile.

Seasonal and monthly dynamics

Late Q4 2024 shows a soft patch—typical of year-end variability—before a clear Q1 acceleration. March and April formed the cost crest, with sustained elevation into May. June brought a notable correction, followed by a midsummer rebound that held through August. The back half of the year drifted lower, finding a trough in October and a mild November lift. This rhythm aligns with broader Facebook Ads benchmarks where holiday periods and major promotional windows often reshape conversion costs, though the amplitude in Design was especially pronounced.

Country vs. Global

Across all countries, Design’s CPP sat well above the global benchmark throughout. The Design average landed at 296 versus 48 for the global baseline—about six times higher (+517% on average). The monthly gap ranged from 1.66x in December 2024 to 9.39x in April 2025; at its narrowest, Design was 66% above market, and at its widest, roughly 839% higher.

While the global baseline trended slightly downward across the window (−28% from November to November, with a late-year dip to 31), Design climbed sharply (+188% over the same span). The global series was comparatively calm, moving within a tight 31–54 band, whereas Design ranged from 83 to 489—nearly a sixfold spread—highlighting more volatile industry ad performance in this category.

Closing

In sum, Facebook Ads benchmarks for cost per purchase in the Design industry across all countries point to a high-cost, high-volatility year: a late-2024 trough, a Q1 surge peaking in March–April, and a measured comedown into Q4 with a slight November lift. Understanding CPP levels alongside CPC trends, CPM analysis, and CTR performance helps frame country-specific ad costs and compare Design’s trajectory to the steadier global benchmark.

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 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.

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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.

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.