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November 2024 - November 2025
Detailed observation of presented data
Consumer Goods ran consistently above market on Facebook Ads cost-per-purchase throughout the period, carrying holiday momentum into early Q1 before settling into a tighter mid-year band. Across all countries, median CPP averaged $53.33 versus a $49.33 global, all‑industry benchmark—an 8% premium—with slightly lower month-to-month volatility than the broader market. January delivered the peak, April marked the sharpest reset, and the back half of the year trended steadier and lower.
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 across all countries compared to the global benchmark.
From May through October, Consumer Goods CPP held a narrow band between $51.07 and $52.93, pointing to a stabilized acquisition cost after the Q1 swings.
The pattern fits familiar seasonality: higher costs through late Q4 into early Q1, a corrective dip in February, a brief March rebound, then the sharper April reset. The mid-year cooled and compressed:
Performance typically tightens through mid-year as the auction cools after Q1, then Q4 competition often lifts acquisition costs. Here, the lift arrived early (Nov–Jan), while late Q3–October remained contained.
Across all countries, Consumer Goods stayed above the global, all‑industry benchmark every month:
Global trends rose into February (peak $53.84) before a sharper H2 slide (H1 average $51.57 vs. Jul–Oct $47.48), indicating the broader market softened more than Consumer Goods in the back half. By contrast, Consumer Goods cooled but held firmer, particularly from May onward.
While CPC trends, CPM analysis, and CTR performance add context to Facebook Ads benchmarks, this view isolates cost-per-purchase to track true acquisition pricing.
Understanding Facebook Ads cost-per-purchase benchmarks for Consumer Goods across all countries helps advertisers evaluate country-specific ad costs and industry ad performance against global patterns. This CPP analysis shows a holiday lift, an early‑Q1 peak, and steadier mid‑year levels, with Consumer Goods consistently above the global benchmark across the period.
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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