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Facebook Ads Cost Per Purchase Benchmarks in India

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

Cost Per Purchase in India

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Across all industries in India, Facebook Ads cost-per-purchase (CPP) ran well below the global benchmark but moved through the year with far sharper swings. The period opened at 21.5 in November, surged to a March peak of 42.6, then fell into a mid-year trough before stabilizing near 21.1 by October. Compared to a relatively steady global path, India’s curve was a story of a strong Q1 lift, a steep Q2 reset, and a measured rebound into Q3 and early Q4. 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 all industries in India compared to the global benchmark.

The story in the data

India’s CPP averaged 18.8 over the 12 months, ranging from a low of 3.1 in July to a high of 42.6 in March. The year started at 21.5 in November, dipped to 10.6 in December (−51% month over month), then accelerated: 24.4 in January, 32.5 in February, and 42.6 in March. After that peak, CPP retraced to 28.7 in April and plunged to 6.0 in May and 3.8 in June, bottoming at 3.1 in July. Momentum turned upward in August (10.8) and September (19.8), ending at 21.1 in October—nearly flat versus the November starting point (−2% over the period).

Volatility in India averaged 9.1 points in absolute month-to-month changes, far choppier than the global benchmark’s 2.6. The largest single swing came in April to May (−79%), followed by a dramatic rebound from July to August (+247%). Despite the turbulence, the October finish effectively returned CPP to its early-period zone, underscoring a year defined more by path than by destination.

Globally, CPP averaged 49.3, with a relatively tight range from 42.6 (November) to 53.8 (February). The global series rose modestly into Q1 and eased through Q3 and Q4, ending at 43.3—up about 2% from November.

Seasonal and monthly dynamics

  • Q1 strength: A sustained run-up from January through March culminated in the annual high, aligning with a period of stronger conversion costs globally.
  • Q2 reset: April marked the inflection, followed by a pronounced trough in May–July, where CPP fell to single digits.
  • Q3 recovery: CPP rebuilt through August and September, carrying through to an October reading in the low 20s.
  • Holiday window: December was notably soft in India (10.6), contrasting with global CPP, which typically remains elevated into late Q4.

India vs. Global

India’s CPP was consistently below market—averaging about 62% under the global benchmark. The gap narrowed materially in February (−40%) and March (−19%), then widened sharply from May through July (−88% to −93%). By October, India sat roughly 51% below global levels, similar to the spread seen in November (−50%). In short: the global trend was stable and elevated (+2% from November to October), while India’s was lower and more volatile, tracing a steep first-half arc and a second-half recovery.

Closing

Understanding Facebook Ads cost-per-purchase benchmarks for all industries in India reveals a market with country-specific ad costs that sit well below global levels but move with greater amplitude. While CPC trends, CPM analysis, and CTR performance add depth to paid social benchmarking, this summary highlights CPP dynamics so advertisers can evaluate how industry ad performance in India compares to global 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. Different industries see varying ad costs due to market competition, user demographics, and conversion value. 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.