Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Manufacturing

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Manufacturing

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks: Manufacturing across all available countries

This analysis looks at cost-per-purchase trends for industry Manufacturing and target country All countries available compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Main takeaways

  • Overall level: Manufacturing runs above market. Average cost-per-purchase is 57.95 versus the global baseline at 49.24 (+17.7%).
  • Seasonal patterns: Elevated costs in Q4 (October–December), in line with holiday-driven inflation; a notable slump appears in August 2025.
  • Volatility: Manufacturing shows higher month-to-month volatility (8.6% average absolute change) than the baseline (4.7%), with a sharp July→August dip.
  • Trend over time: From October 2024 to August 2025, Manufacturing declines 44.9%, while the baseline slips only 2.1%.
  • Relative positioning: Above market in 10 of 11 months; below market only in August 2025.

Selected trend overview (Manufacturing, all available countries)

  • Average: 57.95
  • High: 66.41 in October 2024
  • Low: 36.61 in August 2025
  • First-to-last change: Down 44.9% from October 2024 (66.41) to August 2025 (36.61).
  • Volatility: Average absolute month-to-month change of 8.6%.
  • Notable movements:
  • Q4 2024: High in October (66.41), dip in November (58.87), rebound in December (62.55).
  • Early 2025 stabilization around the low 60s (January–April).
  • Gradual easing May–July (52.81 → 55.55), then a sharp drop in August to 36.61 (−34.1% vs July).

Comparison to global baseline

  • Baseline average: 49.24 (Oct 2024–Aug 2025 overlap)
  • Baseline high/low: High at 53.89 in February 2025; low at 43.19 in November 2024.
  • Baseline first-to-last: Down 2.1% from October 2024 (46.67) to August 2025 (45.69).
  • Baseline volatility: 4.7% average absolute month-to-month change, with a pronounced seasonal spike from November to December (+19.3%).

Relative performance month by month

  • Manufacturing remains above market in 10 of 11 months, with the premium narrowing from +19.74 in October 2024 to +1.84 by May 2025.
  • August 2025 is the exception: Manufacturing drops below the global baseline (36.61 vs 45.69, roughly 20% below market).
  • Highs and lows compared: Manufacturing’s peak (66.41) exceeds the baseline peak (53.89), and its trough (36.61) falls below the baseline low (43.19), indicating a wider range.

Seasonality and pattern insights

  • Q4 effect: Both series reflect typical holiday pressure, with elevated costs in late Q4. Manufacturing’s October and December are among the highest months; the baseline shows a sharp November→December jump.
  • Mid-year moderation: From spring into early summer, Manufacturing tracks closer to the market before the August dip diverges sharply.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Manufacturing and All countries available helps advertisers make more efficient budget and creative choices.

Understanding the Data

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.

Why we use median instead of average

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.