See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Cost per purchase (CPP) in India ran well below the global Facebook Ads benchmarks across the past year, but with far sharper swings. The market lifted through Q1 2025 to a March high, plunged into a mid-year trough, then rebuilt into late Q4. Meanwhile, the global benchmark moved more gradually, softening through the back half of the year with a marked dip in November. 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 all industries in India, CPP averaged about $19.39 from November 2024 to November 2025, spanning a wide range from a July low of $3.10 to a March peak of $42.63. The period began at $21.51 in November 2024, climbed to $42.63 by March (+98% from the start), collapsed into a sub-$6 stretch in May–July (bottoming at $3.10), and ended at $27.05 in November 2025—roughly 26% above the starting point.
Monthly movements were pronounced. Absolute month-over-month volatility averaged roughly $8.9, with the steepest single shift occurring from April to May (−$22.76). The peak-to-trough slide from March to July amounted to about −93%, followed by a rebound of +773% from July ($3.10) to November ($27.05).
Globally, the benchmark averaged around $48.06 over the same months, ranging from $30.61 (November 2025) to $53.81 (February 2025). Month-over-month volatility was gentler at about $3.45 on average.
India’s CPP showed a classic swell-then-slide pattern: Q1 2025 averaged about $33.20 (January–March), then compressed sharply across Q2 to ~$12.85 (April–June), and remained low through Q3 at ~$11.22 before firming in early Q4 (October–November averaged ~$24.09). The year’s rhythm was defined by a March crest and a mid-year valley, with August marking the first clear step off the bottom.
The global series exhibited a steadier seasonal cadence: elevated levels in Q1 (~$52.8), gradual easing through Q2–Q3 (~$50.3 and ~$48.9), and a sharper reduction into Q4, landing at $45.51 in October and $30.61 in November.
Relative to the global benchmark, India ran structurally lower: $19.39 vs. $48.06 on average—about 60% below global CPPs. The gap shifted month to month. At its narrowest, India trailed by just 12% in November 2025 ($27.05 vs. $30.61). At its widest, the July trough sat 93% below global levels ($3.10 vs. $46.88). India’s path was also more volatile (+$8.9 average monthly swing vs. +$3.45 globally). Over the period, India finished higher than it started (+26%), while the global benchmark ended notably lower (−28% from November 2024 to November 2025).
Taken together, these country-specific ad costs highlight a market where cost per purchase for all industries in India is consistently below the global benchmark but markedly more variable, with a dramatic mid-year dip and a late-year rebound. For performance marketers tracking Facebook Ads benchmarks, this CPP view complements adjacent CPC trends, CPM analysis, and CTR performance to contextualize industry ad performance in India against global patterns. Understanding cost per purchase benchmarks for all industries in India helps clarify how the market’s CPP evolved versus the global trend.
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.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app