Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for E-commerce in India

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

Cost Per Purchase for E-commerce in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • This analysis looks at cost per purchase trends for industry E-commerce and target country India compared to the global trend.
  • India’s median cost per purchase averaged 42.73 over Sep 2024–Jul 2025, about 13% below the global baseline average of 49.32.
  • The India series was highly volatile (average month-to-month move of 20.71) versus a very steady global baseline (2.19).
  • Notable seasonality: India rose into October–November, softened in December–January, then surged in March, May, and sharply in July; the global baseline showed a typical lift into December and a mid-year dip in June.
  • From May onward, India moved above market, peaking in July at 132.21, far exceeding the global 46.21 that month.

Dataset and scope

  • Metric: cost per purchase (median, monthly).
  • Segment: E-commerce in India, compared against the global baseline.
  • Timeframe: Sep 2024 to Jul 2025 (selected data); comparison aligned to the same months for baseline.

India E-commerce: monthly highlights

  • Average: 42.73
  • High/Low: 132.21 (Jul 2025) / 3.84 (Sep 2024)
  • First-to-last change: +3344% (3.84 to 132.21)
  • Volatility: average absolute month-to-month change of 20.71
  • Largest moves:
  • Increase: +73.87 from Jun to Jul (+127%)
  • Decrease: −17.48 from May to Jun (−23%)
  • Notable pattern:
  • Rise into Oct (20.33) and Nov (27.68), pullback in Dec (22.89) and Jan (19.35)
  • Re-acceleration in Mar (48.57), brief cooling in Apr (35.02), spike in May (75.83), dip in Jun (58.35), and a sharp jump in Jul (132.21)

Global baseline comparison

  • Average: 49.32; High/Low: 53.89 (Feb 2025) / 43.19 (Nov 2024)
  • First-to-last change: −0.83% (46.60 to 46.21)
  • Volatility: average absolute month-to-month change of 2.19 (very stable)
  • Seasonality cues: softness in Nov, clear lift into Dec (+19% m/m), gentle easing by Jun (−7.9%), relatively flat thereafter.

Relative positioning: India vs. global

  • Overall level: India averaged 13% below market during the period.
  • By phase:
  • Sep–Apr: consistently below market (roughly 8% to 63% below, depending on month), with Mar closest to baseline (48.57 vs 52.61).
  • May–Jul: decisively above market:
  • May: 75.83 vs 50.97 (+49% above)
  • Jun: 58.35 vs 46.96 (+24% above)
  • Jul: 132.21 vs 46.21 (+186% above)
  • Amplitude: India’s range (3.84 to 132.21) far exceeded the global range (43.19 to 53.89), underscoring higher local volatility.

Seasonal patterns and notable months

  • Q4: India climbed into Oct–Nov before easing in Dec, while the global baseline showed a classic December lift.
  • Early 2025: India ramped through Mar, cooled in Apr, then spiked in May.
  • Mid-year: Global dipped in Jun; India dipped too, but rebounded sharply to a period high in Jul.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry E-commerce 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 E-commerce industry, Facebook ad costs can be varied, with peaks during holiday seasons and competitive product categories. 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.