Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Manufacturing in India

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

Cost Per Purchase for Manufacturing in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for the Manufacturing industry in India compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Selected data sits well above market: average cost-per-purchase is 303.67 across observed months versus a global baseline of 49.94 (+508%).
  • Clear volatility in the selected series: a March peak (520.82) followed by a sharp decline to August (70.69). Average absolute month-to-month change across observed points is ~74.7%.
  • Seasonal pattern aligns broadly with global dynamics—higher costs around late Q4–Q1—but the selected peak appears in March rather than December. Costs ease into late summer.

Overview

This report summarizes monthly Facebook Ads cost-per-purchase benchmarks for Manufacturing in India (selected_data) against a global baseline. We highlight levels, highs/lows, volatility, and seasonal movements to help contextualize country- and industry-specific performance versus the market.

Selected trend highlights

  • Coverage: Dec 2024, Mar 2025, Aug 2025.
  • Average: 303.67
  • High/Low: High in Mar 2025 at 520.82; low in Aug 2025 at 70.69; a 7.4x spread.
  • First-to-last change: From 319.49 (Dec 2024) to 70.69 (Aug 2025), a -77.9% decline.
  • Month-to-month moves:
  • Dec 2024 → Mar 2025: +63.0% (319.49 to 520.82)
  • Mar 2025 → Aug 2025: -86.4% (520.82 to 70.69)
  • Notable spike/dip: March is the clear spike; August marks a pronounced dip.

Baseline context

  • Coverage: Sep 2024–Sep 2025.
  • Average: 47.73; High: 53.89 (Feb 2025); Low: 32.29 (Sep 2025).
  • First-to-last change: 46.60 (Sep 2024) to 32.29 (Sep 2025), a -30.7% decline.
  • Seasonal pattern: Costs rise into late Q4 and peak around Feb (53.89), then gradually ease through summer (45.69 in Aug), with a sharper drop in September (32.29).

How selected compares to baseline

  • On overlapping months (Dec 2024, Mar 2025, Aug 2025), the selected average (303.67) is 6.1x the baseline average (49.94), indicating well above market levels.
  • Dec 2024: 319.49 vs 51.53 (+520%)
  • Mar 2025: 520.82 vs 52.61 (+891%)
  • Aug 2025: 70.69 vs 45.69 (+55%)
  • Volatility:
  • Selected shows large swings (+63% then -86%), signaling higher variability than the baseline, which changes more gradually across most months.
  • Seasonality:
  • Both series show higher costs around late Q4–Q1. The selected data, however, peaks in March rather than December, then falls sharply by August.
  • Relative positioning:
  • Across observed months, Manufacturing in India is consistently above market, with the largest premium in March, narrowing substantially by August but remaining above the global baseline.

Understanding cost-per-purchase benchmarks on Facebook Ads in the Manufacturing industry and India 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. For campaigns targeting India, advertisers should consider local market factors and user behavior. 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.

India Advertising Landscape

National Holidays

Jan 26Republic Day
Mar 14Holi
Apr 18Good Friday
May 1Labour Day
Aug 15Independence Day
Oct 2Mahatma Gandhi Jayanti
Oct 21Diwali
Dec 25Christmas Day

Key Shopping Season

October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)

Potential Advertising Impact

CPMs might spike significantly during Diwali, especially in electronics, apparel, jewellery, and gifts. Black Friday/Cyber Monday and December could drive elevated ad competition. State-specific festivals might see regional campaign spikes. Bank closures during holidays may push online shopping to cluster in end-of-week periods.

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.