See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
February 2025 - February 2026
Detailed observation of presented data
India’s cost per purchase came in far below the global benchmark yet moved with far sharper swings. Across 2025, India averaged 20.09 per purchase versus a global average of 51.65 — about 61% below market — with a pronounced mid‑year trough and a late‑year resurgence. The year opened elevated, plunged from spring into midsummer, then climbed back toward November before easing into December. 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.
India started the year at 24.56 in January and ended at 21.59 in December, a 12% decline across the year, but the path was anything but linear. The high point landed in March at 42.67, while the low arrived in July at just 3.12 — a range of nearly 40 points. After March’s peak, cost per purchase (CPP) fell sharply through April (23.30) and May (6.84) to June (3.92), bottoming in July. From that floor, CPP rebounded almost tenfold by November (32.87) before moderating in December.
Volatility in India averaged 8.97 points month over month, notably choppier than the global benchmark’s 1.59. The steepest single drop came in April (‑19.37 vs. March), followed by another large pullback in May (‑16.46), while November delivered one of the year’s largest jumps (+10.83 vs. October). Despite the turbulence, India’s full‑year average remained well below global levels.
The quarterly rhythm was clear. Q1 was the strongest period in India (average 33.25), lifted by the March high. Q2 marked a decisive correction (11.35 average), with CPP compressing to single digits in May and June. Q3 stayed subdued yet improving (10.24), climbing from July’s trough to September. Q4 re‑accelerated (25.50 average), peaking in November before a December softening — a pattern that aligns with broader end‑of‑year competition where acquisition costs often rise.
Globally, the arc was steadier: Q1 averaged 53.61, Q2 51.88, Q3 51.87, and Q4 49.25 — a gentle step down into year‑end rather than India’s dramatic mid‑year swing and rebound.
India remained below market every month. The gap narrowed during India’s March peak, when CPP was only 19% below the global figure (42.67 vs. 52.92). It widened to its largest in July, when India sat 94% under the global level (3.12 vs. 49.18). Through Q4, India’s average CPP (25.50) was roughly half the global Q4 level (49.25). While the global series hovered in a tight band (roughly 47–55), India’s series ranged from 3.12 to 42.67, underscoring a more volatile buying environment. The overall picture: significantly lower country‑specific ad costs in India, but with greater month‑to‑month variability than the broader Facebook Ads benchmarks.
Understanding Facebook Ads cost‑per‑purchase benchmarks for all industries in India — and how they compare to global industry ad performance — helps frame CPP trends, volatility, and seasonality within a clear, data‑driven context. This CPP analysis sits alongside broader Facebook Ads benchmarks spanning CPC trends, CPM analysis, and CTR performance to give a fuller view of country‑specific ad costs in India versus the global market.
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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