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
Cost Per Purchase for Consumer Goods across all countries ran consistently above the global benchmark over the past 13 months, with a pronounced peak in January and a sharp promotional dip in November. The category’s costs moved in a tight low‑50s band for most of the year, then fell abruptly at the start of peak sale season, creating a wider annual range than the all‑industry 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 Consumer Goods in all countries compared to the global benchmark.
Consumer Goods Cost Per Purchase (CPP) started at $50.76 in November 2024 and ended at $31.86 in November 2025, a 37% decline year over year. The year’s high came in January at $59.81, while the low arrived in November at $31.86. Across the period, the category averaged $51.63, compared with a $48.06 global average.
Momentum moved in clear phases:
Volatility averaged an absolute $4.24 move month to month, sharper than the global benchmark’s $3.45. The full‑period range for Consumer Goods spanned $27.94 (from $59.81 to $31.86), wider than the global range of $23.21.
Seasonality shows familiar contours for Facebook Ads benchmarks: elevated CPP into late Q4 and early Q1, stabilization through spring and summer, then pronounced November efficiency as major promotions compress acquisition costs. Q1 (Jan–Mar) was the costliest stretch for Consumer Goods at an average $57.05, while Q3 (Jul–Sep) settled at $51.13. The sharpest monthly drop occurred in November (−40% vs. October), consistent with holiday sale dynamics; the global benchmark showed a similar, though slightly softer, November decline (−33%).
Consumer Goods CPP across all countries stayed above market every month. On average, the category ran 7–8% higher than the global all‑industry benchmark ($51.63 vs. $48.06). The narrowest gap appeared in April (+0.3% above global), while the widest gaps showed in November 2024 (+19%) and October 2025 (+16%). Trajectory differences were also notable: from January to October, Consumer Goods eased −11%, while the global trend fell −13% over the same span. The November year‑over‑year decline was steeper in Consumer Goods (−37%) than globally (−28%), amplifying the category’s seasonal promotional effect on purchase costs.
Viewed through a Facebook Ads benchmarks lens, Cost Per Purchase for Consumer Goods across all countries averaged $51.63, peaking in January and bottoming in November, and consistently outpaced the global benchmark. While CPC trends, CPM analysis, and CTR performance set the upstream context, CPP captured the end cost of conversion for this category. Understanding Cost Per Purchase benchmarks for Consumer Goods across all countries helps advertisers assess category‑level acquisition costs against global patterns.
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 Consumer Goods 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.
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.
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