See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Globally, Media advertisers spent far less to convert than the market as a whole, and the gap held steady most of the year before a dramatic year‑end compression. Across all countries, cost per purchase (CPP) for Media hovered in the mid‑teens to low‑$20s for most months, consistently under the broader benchmark that sat around $45–$55. Momentum was relatively orderly through November, then December printed an unusually low CPP, standing out as the sharpest single‑month move in the series. 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 Media across all countries compared to the global benchmark.
Media CPP opened at $16.76 in December 2024, then firmed into early 2025: January landed at $19.09 and February peaked at $20.31, the year’s high. From there, CPP eased but stayed contained—March ($19.90) and April ($20.16) were stable, May slid to $18.17, and June reached $16.11. A mid‑summer rebound lifted July to $19.94 before August reset lower to $16.08. Fall was steady: September ($16.78) and October ($16.64) clustered tightly, with November marking the year’s typical non‑December low at $15.42. December then plunged to $1.53.
On average, Media CPP in 2025 was $16.68. Removing the atypical December print, the January–November average was $18.05. The range (ex‑December) ran from $15.42 to $20.31, with most months between $16 and $20. Monthly volatility averaged a 2.69‑point absolute change across 2025; excluding December, it was a calmer 1.57 points, signaling relatively measured month‑to‑month shifts until the final month.
Seasonally, the pattern tracked a familiar arc: a firmer Q1, softer late spring and early summer, a brief July rebound, and tighter clustering through early Q4. August marked the deepest late‑summer trough ($16.08), while September–October showed stability, suggesting steady conversion efficiency heading into peak retail months. November softened to $15.42, and December showed a pronounced compression to $1.53—well below the prior trend.
The global benchmark followed a gentler slope: from a February high of $54.77, CPP cooled progressively to $45.02 by December, with a noticeable step‑down in November (−$5.55 month over month) before a quiet finish.
Against the all‑industry global benchmark, Media CPP remained structurally lower throughout the year. In 2025, the global average was $50.68 versus $16.68 for Media—about 67% below. Excluding December, Media averaged $18.05, roughly 64% under the market. The narrowest gap appeared in July (Media $19.94 vs. global $48.17, 59% below), while the widest gap came in December (Media $1.53 vs. $45.02, 97% below). For most months, Media tracked 61–69% under global levels.
Trend lines diverged in pace rather than direction: the global benchmark declined steadily (−15% from January to December), while Media eased from January to November (−19%), then compressed sharply in December. Volatility was higher for Media when including December (2.69 vs. the global 1.72 average absolute monthly change) but slightly lower when excluding it (1.57 vs. 1.72).
Overall, Facebook Ads benchmarks show that cost per purchase for Media across all countries stayed well below the global all‑industry average, with a stable mid‑teens to low‑$20 rhythm most of the year and an unusually low December print. Understanding cost per purchase benchmarks for the Media industry across all countries helps situate CPP performance within broader CPC trends, CPM analysis, and CTR performance at the global level.
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 Media 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.
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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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