Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Design in India

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

Cost Per Purchase for Design in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads benchmarks: cost per purchase trends

Key takeaways

  • Scope: This analysis looks at cost per purchase trends for the Design industry in India compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Data availability: No selected time-series is available for Design in India in the period provided, so relative positioning versus the global baseline cannot be determined for this selection.
  • Global baseline snapshot (all industries, all countries): average 47.82, high 53.89 (Feb 2025), low 32.29 (Sep 2025), with a -30.8% change from Oct 2024 to Sep 2025 and average month-to-month absolute movement of ~7.0%.
  • Seasonality: A clear December spike, elevated costs through Q1, then a gradual softening into summer followed by a pronounced dip in September. This is broadly in line with expectations that costs often rise around year-end demand and ease later.

Scope and context

  • Industry: Design
  • Country: India
  • Metric: cost per purchase (median by month)
  • Baseline used for comparison: global trend across all industries and countries
  • Note: The selected dataset for Design in India is empty for the timeframe provided, so the summary below focuses on the global baseline to give marketers directional context.

Comparison: Design in India vs global baseline

  • Selected data: No monthly values available, so averages, highs, lows, and volatility for Design in India cannot be computed from the provided inputs.
  • Relative positioning: With no selected data, we cannot classify India’s Design cost per purchase as above market, below average, or in line with overall trends.

Global baseline trend highlights (reference)

  • Overall average: 47.82 across Oct 2024–Sep 2025.
  • High and low:
  • High: 53.89 in Feb 2025.
  • Low: 32.29 in Sep 2025.
  • Start to end change: From 46.67 in Oct 2024 to 32.29 in Sep 2025, a -30.8% decrease.
  • Volatility: Average absolute month-to-month change of ~6.97%.
  • Largest spike: +19.3% from Nov to Dec 2024.
  • Sharpest drop: -29.3% from Aug to Sep 2025.
  • Seasonal pattern:
  • Q4 2024: Dip in November followed by a strong December spike; Q4 average ~47.13, just below the full-period average.
  • Q1 2025: Elevated costs (average ~52.94), peaking in February.
  • Spring/Summer 2025: Gradual easing from April through August.
  • September 2025: Notable low, significantly below earlier months.

What this means for benchmarking

  • In the absence of Design-in-India monthly values, the global baseline offers directional guidance: costs typically firm up in December, remain elevated through Q1, and moderate through mid-year with potential late-summer/early-fall softness.
  • Once selected data for Design in India becomes available, marketers can assess whether local performance is above market, below average, or aligned with these global patterns.

Understanding cost per purchase benchmarks on Facebook Ads in industry Design 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 Design 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.