See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
February 2025 - February 2026
Detailed observation of presented data
Manufacturing ran expensive across all countries, consistently clearing the global benchmark for Facebook Ads cost per purchase. The year traced a choppy arc: elevated costs in Q1, a midyear ebb, a sharp December surge, and a dramatic reset in January. Volatility was the defining feature, with several double-digit month-over-month moves that the broader market did not mirror. 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 compared to the global benchmark.
Across January 2025 to January 2026, Manufacturing’s cost per purchase averaged $74.52, ranging from a low of $47.95 in January 2026 to a high of $105.73 in December 2025. The period opened at $80.88 in January 2025 and closed 41% lower at $47.95, but not before a late-year spike that pushed CPP above $100.
The month-to-month rhythm was notably erratic. After an early pullback from January to March (−$9 then −$1), CPP lifted to $79.32 in April (+$8), softened in May (−$6), then jumped in June to $90.33 (+$16.6). July reversed hard (−$19.3), August dipped to $65.17, and September rebounded +$18.1 to $83.30. October cooled (−$9.9), November slid to $54.91 (−$18.5), and December spiked +$50.8 to $105.73 before a steep correction into January 2026 (−$57.8). On average, volatility measured an $18.4 absolute change month to month—large swings for a single metric view.
Seasonally, costs were elevated through Q1 and re-accelerated in late Q2 (June peak), then cooled through late summer into early Q4, bottoming in November. The typical year-end squeeze surfaced decisively in December, when Manufacturing CPP jumped to its annual high before resetting to the cycle low in January—a pronounced holiday spike-and-correction pattern. Midyear held a relatively moderate band ($65–$83 from August to October), contrasting sharply with the extremes seen in June, December, and January.
Performance typically tightens in Q4 as competition intensifies; this dataset shows that effect concentrated in December for Manufacturing, with a milder November.
Manufacturing was above market every month versus the global benchmark (all industries). On average, it sat about 50% higher ($74.52 vs. $49.61). The gap narrowed to its slimmest in November (+16%) and August (+23%), and widened dramatically in December (+122%) and January 2026 (+91%). The global series declined steadily across the year (−53% from January ’25 to January ’26), with modest volatility averaging $3.33 month to month. By contrast, Manufacturing fell less over the same span (−41%) but did so with far sharper, irregular swings—more volatile and more expensive throughout.
Within Facebook Ads benchmarks, cost per purchase often complements CPC trends, CPM analysis, and CTR performance to contextualize country-specific ad costs and broader industry ad performance.
In short, Facebook Ads cost-per-purchase benchmarks for Manufacturing across all countries reveal a premium, high-volatility profile versus the global average—marked by a December peak and a January reset. Understanding these Manufacturing benchmarks globally helps teams situate performance against market-wide patterns and year-end seasonal pressure.
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