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

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Global Manufacturing stood well above the market on Facebook Ads Cost Per Purchase this year. Across all countries, CPP averaged $78.91 for Manufacturing versus a $49.33 global benchmark — roughly 60% higher. The narrative wasn’t a straight line: a sharp mid‑year spike in June and a late‑summer trough in August created a wide 38% swing between peak and low. Month-to-month movements were notably choppy, with average absolute changes of $6.59, more than double the global benchmark’s $2.58.

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 across all countries compared to the global benchmark.

The story in the data

Manufacturing’s CPP opened at $78.26 in November 2024 and closed at $75.89 in October 2025, a modest 3% decline over the period. The high point arrived in June at $92.81, followed by the low in August at $67.26, marking a $25.55 gap between peak and trough (about 32% of the average).

The cadence by month reads like a slow build, a sharp crest, and a quick cool-down:

  • Nov–Apr hovered in a tight band ($77.90–$84.15), averaging around $80, with only minor bumps.
  • May dipped to $73.00, then June surged to $92.81 — the largest month-over-month jump (+$19.81, +27%).
  • July eased to $83.15; August dropped hard to $67.26 (−$15.89, −19%), the low for the year.
  • A mild rebound followed: September at $75.62 and October steady at $75.89.

Overall volatility averaged $6.59 per month, underscoring a more turbulent CPP pattern than the broader market.

Seasonal and monthly dynamics

The data shows a familiar rhythm for acquisition costs, even within CPP:

  • Late Q4 through early Q1 held relatively stable levels near $78–$84, a contained band without extreme spikes.
  • Early Q2 softened in May, then demand pressure lifted CPP into a pronounced June peak.
  • Q3 compressed sharply, bottoming in August, before stabilizing in early Q4 with a controlled rebound through September and October.

In short, Manufacturing moved from firmness to surge, reset, and then stabilization — a seasonal arc that aligns with common Facebook Ads benchmarks where competition ebbs and flows across quarters.

Country vs. Global

Manufacturing’s CPP sat above market all year, but the gap fluctuated meaningfully:

  • Average gap: +60% above the global benchmark ($78.91 vs. $49.33).
  • Narrowest gap: August, +33% above market ($67.26 vs. $50.45).
  • Widest gap: June, +93% above market ($92.81 vs. $48.12).

Where the global benchmark was steadier — rising a modest 2% from November to October and swinging between $42.61 and $53.84 — Manufacturing was distinctly more volatile (2.6x the average monthly movement). The market’s trend edged up slightly by the end of the period, while Manufacturing ended a touch lower, reflecting a choppier trajectory despite consistently higher absolute costs.

Closing

Understanding Facebook Ads Cost Per Purchase benchmarks for the Manufacturing industry across all countries clarifies how CPP trends compare to the global market: elevated levels, bigger swings, and a mid‑year spike followed by a late‑summer reset. These global Manufacturing CPP patterns provide a clear, data-rich reference point for industry ad performance alongside broader Facebook Ads benchmarks.

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.

Optimize Smarter with Superads

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.

Get Started for free →

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.