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
Retail’s cost per purchase stayed consistently cheaper than the market all year, with a clear seasonal arc: a gentle lift into December, a sharp January peak, then a steady ease through mid‑year before stabilizing and ticking up again in October. Across all countries, Retail maintained a sizable cost advantage versus the global Facebook Ads benchmarks, with narrower gaps late in the period. Volatility was moderate, with fewer sharp swings than the global composite, and standout moments clustered around the turn of the year.
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 across all countries compared to the global benchmark.
Retail cost per purchase averaged $36.67 across the period, beginning at $33.30 in November 2024 and ending at $37.10 in October 2025. The high came in January at $41.38; the low sat in November at $33.30 (June was close at $33.48). That sets a $8.08 range—tighter than the broader market.
Month to month, the sharpest move was December to January, when CPP jumped by $6.89 (+20%), followed by a swift correction in February (−$3.75, −9%). The late‑spring reset saw another notable drop from May to June (−$3.38, −9%). After June’s trough, CPP hovered in a narrower band through Q3, then lifted into October (+$2.03, +6% from September).
Volatility averaged $2.41 in absolute monthly change, pointing to steadier month‑over‑month rhythm than the global benchmark. Quarterly pacing underscored the arc: Q1 averaged $39.27, Q2 dipped to $36.66, Q3 settled at $35.77, and October suggested a firmer Q4 start at $37.10.
Seasonality showed up cleanly for Retail across all countries:
This rhythm mirrors familiar patterns in industry ad performance: heightened purchase costs at the turn of the year, mid‑year relief, and renewed pressure into the holiday build.
Relative to the global benchmark across all industries, Retail across all countries was consistently below market. Retail’s average CPP of $36.67 trailed the global average of $49.33 by about 26%. The gap was widest in December (−31%) and tightest in October (−14%), a dollar spread that ranged from −$16.20 (February) to −$6.23 (October). In every month, Retail remained below the global CPP.
Trend lines differed as well. The global series rose to a February high of $53.84 and carried a broader $11.23 range, with average monthly volatility of $2.58—slightly choppier than Retail’s $2.41. Over the full window, Retail climbed 12% from November to October, while the global composite gained a modest 2%, reflecting a narrowing late‑year gap as market costs cooled faster than Retail’s.
Understanding Facebook Ads benchmarks for cost per purchase in Retail across all countries shows a clear pattern: consistently below the global market, a January peak, mid‑year relief, and a measured Q4 lift. These CPP trends help frame country‑specific ad costs within a global context and connect to broader CPC trends, CPM analysis, and CTR performance signals for industry ad performance in Retail worldwide.
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