See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
August 2025 - August 2026
Detailed observation of presented 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.
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.
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.
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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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.
October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)
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.
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. That's not necessarily a problem if your margin can support it. You should measure CPA in context 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 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.
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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