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Facebook Ads Cost Per Purchase Benchmarks for Education in India

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Cost Per Purchase for Education in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Education and target country India compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Education in India stayed below the global baseline in 10 of 11 months, averaging about 30% lower cost-per-purchase overall (34.30 vs. 49.24).
  • Volatility in India was materially higher, with average month-to-month moves of 7.06 versus 2.24 globally.
  • Notable seasonal pattern: global costs lifted into December and early Q1, while India dipped to its low in January and spiked mid‑year, peaking in June.

Education in India: cost-per-purchase trend

  • Timeframe: Oct 2024–Aug 2025
  • Average: 34.30; Median: 31.20
  • High/low: High in Jun 2025 (55.37); Low in Jan 2025 (23.05)
  • First-to-last change: +14.3% (30.74 in Oct 2024 to 35.14 in Aug 2025)
  • Volatility: Average absolute month-to-month change of 7.06
  • Notable movements:
  • Jan 2025 trough at 23.05 after a steady Q4; followed by a rebound in Feb (+10.7%).
  • Sharp surge in Mar (+41.3% month-over-month), easing in Apr.
  • Strong May (+32.3%) and further rise to the peak in Jun (+34.1% month-over-month).
  • Post-peak cooling in Jul (−22.9%) and Aug (−17.7%).

Global baseline comparison

  • Overlapping timeframe: Oct 2024–Aug 2025
  • Average: 49.24; Median: 50.97
  • High/low: High in Feb 2025 (53.89); Low in Nov 2024 (43.19)
  • First-to-last change: −2.1% (46.67 to 45.69)
  • Volatility: Average absolute month-to-month change of 2.24
  • Seasonal cadence:
  • Q4 lift into December (Nov to Dec +8.34), sustained into early Q1 (Jan–Mar around 51–54).
  • Gradual easing through late Q2 and summer (May–Aug trend modestly downward).

How India compares to global

  • Level: Education in India averaged 34.30, about 30% below the global 49.24—consistently below market, except in June.
  • Peaks and dips:
  • June 2025 in India ran 17.9% above the global benchmark (55.37 vs. 46.96), the only month above market.
  • January 2025 marked a local low (23.05), far below the global 52.31 that month.
  • Volatility: India’s cost-per-purchase showed roughly 3x higher month-to-month variability (7.06 vs. 2.24), indicating more pronounced swings across the period.
  • Seasonal shape:
  • Global: costs typically elevate in Q4/early Q1 and soften into summer.
  • India (Education): relatively stable Q4, a clear trough in January, and a mid‑year spike culminating in June, then normalization into late summer.

Summary for marketers

Education advertisers in India experienced below‑market cost-per-purchase for most months, with one pronounced mid‑year spike. Global benchmarks show the familiar end‑of‑year/early‑year elevation, whereas India’s Education trend pivoted around a January low and a June peak. Understanding COST_PER_PURCHASE benchmarks on Facebook Ads in industry Education 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 Education industry, Facebook ad costs can be moderate, with higher costs for professional and specialized courses. 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.