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

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Across the period, the design industry (all countries available) shows a median cost per purchase that averages 395.11, far above the global baseline average of 47.73 (about 8.3x higher).
  • The series is highly volatile: average month-to-month change is 42.9% for design versus 6.4% globally.
  • Seasonal pattern diverges from typical Q4 pressures: design costs fall through Q4 2024 to a December low, then surge in Q1 2025 to a March peak. The global baseline rises into December–February.
  • Design remains above market in 12 of 13 months; only September 2025 dips below the global level.
  • From first to last month, design drops 98.4% (498.66 to 8.08), while the baseline declines 30.7% (46.60 to 32.29).

This analysis looks at cost per purchase trends for industry Design and target country all countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Selected data overview (Design, all countries)

  • Average: 395.11
  • High: 599.72 (March 2025)
  • Low: 8.08 (September 2025)
  • First-to-last change: -98.4% (Sep 2024 to Sep 2025)
  • Volatility: average absolute month-to-month change of 42.9%; largest month-to-month moves were:
  • December 2024 to January 2025: +102.5%
  • January to February 2025: +98.8%
  • August to September 2025: -97.7%

Notable seasonality: costs declined steadily through Q4 2024 (Sep→Dec: -72.7%), bottomed in December (136.31), and then rebounded sharply in Q1 2025 to a March peak (599.72). After mid-year strength (June–July), August softened before an extraordinary September dip to 8.08.

Baseline overview (Global)

  • Average: 47.73
  • High: 53.89 (February 2025)
  • Low: 32.29 (September 2025)
  • First-to-last change: -30.7%
  • Volatility: 6.4% average absolute month-to-month change

Seasonality aligns with common patterns: costs lift from November into December–February (+19.3% Nov→Dec), ease into spring/summer, and fall to the period’s low in September 2025.

How design compares to the global trend

  • Level: Design median cost per purchase averages about 8.3x above market. From February to July 2025, design typically runs roughly 10–12x the global level. December 2024 is the closest month to baseline but still more than 2.5x higher (136.31 vs. 51.53). The only below-baseline month is September 2025 (8.08 vs. 32.29).
  • Peaks and troughs: Design peaks at 599.72 (March 2025), about 11x the global peak (53.89). Design’s range is extremely wide (599.72 to 8.08), versus a narrower global range (53.89 to 32.29).
  • Volatility: Design’s month-to-month movement is about 6.7x more volatile than the global series. Marketers will notice especially sharp swings around year-end and early Q1 for design.

Seasonality and volatility summary

  • Baseline shows classic holiday inflation in late Q4 and early Q1.
  • Design, across all countries available, diverges: costs fall through Q4 2024, then spike dramatically in Q1 2025, stay elevated into mid-year, and finish with a pronounced September 2025 dip.

Understanding cost per purchase benchmarks on Facebook Ads in the design industry and across all countries helps advertisers make more efficient budget and creative choices.

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.

Explore Facebook Ads Metrics

Discover detailed cost benchmarks for different Facebook advertising metrics:

CPC (Cost Per Click)

Average cost per click benchmarks across industries

CPM (Cost Per Mille)

Cost per thousand impressions across different markets

CTR (Click Through Rate)

Benchmark click-through rates for Facebook ads

Cost Per Lead

Cost per lead across different markets

Cost Per Purchase

Average cost per purchase benchmarks across industries

Cost Per App Install

See how much it costs to get users to install an app