Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Finance in India

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

Cost Per Purchase for Finance in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Cost per purchase benchmarks: key takeaways

  • Scope and context: This analysis looks at cost per purchase trends for industry Finance and target country India compared to the global trend. It is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Data availability: No selected-data points were available for Finance in India in the months provided, so relative positioning versus the global baseline cannot be quantified. The summary below covers the global baseline to anchor expectations.
  • Global pattern (Oct 2024–Sep 2025): Average 47.82, median 48.96, high 53.89 (February), low 32.29 (September). Overall change from October to September: -30.8%.
  • Volatility: Average absolute month-to-month change ~7.0% (driven by a sharp -29.3% drop in September); outside September, monthly moves were relatively mild at roughly 1–8%.
  • Seasonality: Clear Q4 uplift into December and a Q1 high in February, followed by steady softening through summer and an outsized dip in September—consistent with typical holiday-driven cost pressure in Q4.

About the data and framing

  • Metric: cost per purchase (median by month).
  • Selected view: Finance industry in India (no data available in the period).
  • Baseline view: Global benchmark across all industries and countries, serving as the comparison standard for Facebook Ads benchmarks and advertising costs.

Global baseline trend snapshot

  • Twelve-month window: October 2024 to September 2025.
  • Average cost per purchase: 47.82; median: 48.96.
  • High and low:
  • High: 53.89 in February 2025.
  • Low: 32.29 in September 2025.
  • Range: 21.60 between the monthly high and low, indicating a wide spread across the year.
  • Change from first to last month: from 46.67 in October 2024 to 32.29 in September 2025 (-30.8%).

Seasonal patterns

  • Q4 uplift: October–December averaged 47.13, with a strong December step-up (+19.3% vs. November), aligning with holiday-period pressure often seen in Facebook Ads costs.
  • Q1 peak: January–March averaged 52.94, with February setting the annual high at 53.89.
  • Mid-year normalization: April–June averaged 49.83, gradually easing from the Q1 peak.
  • Q3 softness: July–September averaged 41.39, pulled down by a notable September low.

Notable monthly movements

  • Largest increase: November to December (+19.3%), marking a clear holiday-season spike.
  • Largest decrease: August to September (-29.3%), a pronounced dip that sets the period low.
  • Steady stretch: Outside of December and September, most month-to-month moves were contained between roughly -8% and +3%, suggesting generally stable conditions for most of the year.

Comparison to Finance in India

  • Due to the absence of selected-data observations for Finance in India, no direct comparison to the global baseline (above market, below average, or in line) can be stated for this period.
  • The global series can be used as a directional benchmark until Finance-in-India data becomes available.

Understanding cost per purchase benchmarks on Facebook Ads in industry Finance 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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.