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
Global retail’s cost-per-purchase (CPP) spent most of the past 13 months below the all‑industry benchmark, running cheaper but moving with a familiar seasonal rhythm. The series crested in January, eased through mid‑year, and then slipped to a fresh low in November 2025. Volatility was modest in dollar terms, with only a few abrupt swings, while the global all‑industry line surged into early Q1 and then broke sharply lower in late Q4. 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 Retail in All countries compared to the global benchmark.
Retail CPP opened at $33.39 in November 2024 and closed at $32.27 in November 2025, a slight 3% year-over-year decline. The median for the period averaged $36.4, ranging from a high of $41.51 in January 2025 to a low of $32.27 in November 2025 — a 25% swing relative to the average. Month to month, movements averaged $2.68 (about 7.3%), indicating moderate variability.
The early-year picture was the most dramatic: after a small lift into December (+4%), CPP jumped 20% in January to the period high, then retrenched 9% in February. Spring steadied with mild gains in March and April (topping out near $39.78), before softening into June’s $33.56 trough. Late summer held a tight band ($35.6–$36.5 in July–August), September dipped to $34.95, and October briefly rebounded to $37.23. The single sharpest decline arrived in November 2025 (−13% vs. October), setting the series low.
For context, the all‑industry benchmark averaged $48.1 and peaked later and higher, at $53.81 in February 2025, before sliding to $30.61 in November — a 28% year-over-year drop from November 2024.
Seasonality was visible but measured. Retail CPP firmed into late Q4 2024 and surged into January, then cooled through early spring. Performance stabilized through mid‑year, with a shallow summer valley, and showed a brief Q4 uptick in October before a pronounced November reset. This aligns with a familiar paid social cadence: performance typically softens through Q4 as competition rises, with engagement and conversion costs often rebounding in early Q1.
The benchmark followed a stronger seasonal arc: a pronounced lift from November through February, a steady mid‑year plateau in the mid‑to‑high $40s, and a sharper late‑Q4 downdraft.
Against the all‑industry global benchmark, retail CPP was consistently below market in 12 of 13 months, averaging 24% lower. The widest gaps appeared in December 2024 (−31%) and June 2025 (−30%). The narrowest gap was October 2025 (−18%), followed by a brief reversal in November 2025 when retail finished 5% above the benchmark as the broader market fell harder. Volatility in retail averaged $2.68 per month (7.3%), lower than the benchmark’s $3.45 (about 7.2%), meaning retail moved less in dollars but at a similar percentage pace.
Overall, the benchmark climbed +26% from November to February before easing, while retail peaked earlier in January and declined more gradually, finishing near its series low yet still above the benchmark’s November trough.
Understanding Facebook Ads cost-per-purchase benchmarks for retail across all countries helps marketers gauge country-specific ad costs and compare industry ad performance to global Facebook Ads benchmarks. While CPC trends, CPM analysis, and CTR performance shape upper- and mid‑funnel dynamics, this CPP view captures downstream conversion costs for Retail in All countries over the past year.
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 Retail 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.
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.
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.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app