See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Manufacturing’s cost-per-purchase line this year ran hotter and far choppier than the global baseline. Across the 12 months from July 2025 to June 2026 the Manufacturing median CPCP (cost per purchase) averaged about $103 — roughly double the global benchmark average of $50 — driven by an extreme December spike and an even deeper January trough. 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 Manufacturing in All countries available compared to the global benchmark.
The series starts at $69.79 in July 2025 and finishes at $82.56 in June 2026, but that steady start and finish mask dramatic internal moves. The highest monthly median was $580.58 in December 2025; the low was $14.97 in January 2026. Across the year Manufacturing’s median cost per purchase averaged $103.46, versus a baseline average of $49.87 — about 108% higher on average.
Key monthly movements read like a roller coaster: a modest decline from July to August (−3.6%), a sharp lift into September (+43%), a decline into October (−20.6%), a fall in November (−50.8%), then the massive December surge (+1,441% vs November). That December lift was followed by an almost complete rebound in January (−97.4% vs December), then a series of recoveries and lifts through spring. Aside from December’s outlier, monthly swings were still large: excluding December, the average absolute month-to-month change was roughly 53%, compared with the global baseline’s average monthly movement of about 6%.
Seasonally, the clearest rhythm is the late-year volatility: November lows gave way to a December spike and then a dramatic January collapse. After January’s trough the market climbed through spring with notable lifts in March–April. Several months — September, April, and June — registered well above baseline levels, while November, January, February and March tracked below the global benchmark. The pattern shows concentrated bursts of cost pressure rather than smooth Q4/Q1 transitions: a single extreme December event dominates the seasonal story, with follow-on rebounds and intermittent lift months in early spring.
Compared with the global benchmark, Manufacturing in All countries available was more volatile and, on balance, costlier. In most months the Manufacturing median sat above the global level — July (+42%), August (+29%), September (+82%), October (+46%), April (+69%), May (+33%) and June (+92%). At its narrowest gap, Manufacturing was about 19% below the global median in November; at its widest, December’s cost-per-purchase was roughly 11.7× the global median (about +1,067%).
Understanding Facebook Ads benchmarks for cost-per-purchase, CPC trends, CPM analysis and CTR performance in the Manufacturing sector across All countries available provides a clear sense of how country-specific ad costs and industry ad performance can diverge sharply from 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 Manufacturing 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