Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
India’s cost-per-purchase story is one of extreme swings: most months sit well below the global benchmark, punctuated by an outsized April spike and a sharp June collapse. 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.
Across the 11 months of available data (Jul 2025 → Jun 2026, missing May 2026), median cost-per-purchase in India averaged about $34.6, with a median of $17.6 — a sign that the distribution is right-skewed. India’s low point was $0.47 in June 2026; the high-water mark was $193.81 in April 2026. The series starts at $3.13 in July 2025 and ends at $0.47 in June 2026, showing a dramatic rise and fall within the 12‑month window.
Month-to-month movement was volatile: absolute month-on-month swings averaged roughly 190% (driven heavily by the April spike). Excluding that outlier, the year shows many double-digit percentage moves (e.g., +252% from July→August, +186% Jan→Feb, −60% Feb→Mar), but none approach the April escalation.
The rhythm is uneven rather than smoothly seasonal. Early Q3 (Jul–Sep 2025) shows a climbing pattern from very low base ($3.13 → $17.61), then a steady mid-Q4 lift into November ($34.48) before a December dip ($25.47) and a low January ($14.43). February rebounds to $41.26, March falls back to $16.39, and April detonates to $193.81. By June, the metric collapses back under $0.50. These swings suggest episodic pressure points rather than classic Q4 peaks or Q1 troughs—April is the standout month for an extreme deviation.
Over the full window, the global baseline averaged about $49.9 per purchase. India’s average of ~$34.6 sits ~31% below that global benchmark. Month-level gaps are wide: India trailed global levels by 94% in July 2025, ~79% in August, ~71% in January and March, and narrowed to ~18% below the global benchmark in February 2026. The exception is April 2026, when India’s $193.8 was roughly 289% higher than the global benchmark for April. At the narrowest point India was ~18% below global; at the widest, it was nearly 289% above. Overall, India’s cost-per-purchase series is more volatile than the global baseline, with extreme outliers driving the mean above the median.
This data-driven narrative of cost per purchase for All industries in India highlights large volatility, a median outcome materially below the global benchmark, and one extraordinary April spike. Understanding Facebook Ads benchmarks, CPC trends, CPM analysis and country-specific ad costs alongside CTR performance and broader industry ad performance helps contextualize how India compares to global patterns for cost-per-purchase in All industries in India.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting India, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPP values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)
CPMs may rise during Diwali, especially in electronics, apparel, jewellery, and gifts. Black Friday/Cyber Monday and December may increase ad competition. State-specific festivals may increase regional competition. Holiday bank closures may shift online shopping to the end of the week.
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.
Higher-priced products typically have a higher CPA because people take longer to convert. A higher CPA can work when the margin supports it. Measure CPA with AOV and LTV.
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.
Manual bidding can help advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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