Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Agriculture in India

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

Cost Per Purchase for Agriculture in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Agriculture and target country India compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected segment data is available for Agriculture in India in the period shown, so only global baseline benchmarks are presented; relative positioning (above market/below market) cannot be assessed for the selected segment.
  • Globally, cost per purchase averaged 47.82 over Oct 2024–Sep 2025, with a high in February (53.89) and a low in September (32.29). The period ends 30.8% below where it started (October to September).
  • Seasonality is evident: costs rose into late Q4 and peaked in Q1, then eased through summer before a sharp correction in September.

Scope and framing

  • Metric: cost per purchase (median, monthly)
  • Industry: Agriculture
  • Country: India
  • Comparison: selected segment vs. global baseline
  • Note: selected segment has no observed values in the provided period.

Selected segment highlights (Agriculture, India)

  • Data not available for the selected segment in this time window. No averages, highs/lows, or volatility measures can be computed.
  • As a result, we cannot determine whether Agriculture in India is above market, below average, or in line with overall trends.

Global baseline benchmarks

  • Period: Oct 2024–Sep 2025
  • Average: 47.82
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range: 21.60 between the high and low
  • First vs. last month: from 46.67 (October 2024) to 32.29 (September 2025), a -30.8% change

Notable monthly dynamics:

  • Q4 pattern: October (46.67) dipped in November (43.19) before a year-end lift in December (51.53). November to December rose +19.3%, marking the strongest positive month-over-month move.
  • Q1 peak: January (52.31) and February (53.89) were the highest months; March remained elevated (52.61). Q1 averaged 52.94 versus 47.13 in Q4.
  • Gradual cooling: April–August stepped down from 51.57 to 45.69, with a notable drop in June (46.96) from May (50.97), -7.9%.
  • Sharp correction: September fell to 32.29, the largest monthly decline of the year (-29.3% vs. August).

Volatility:

  • Average absolute month-to-month change: 3.25, roughly 6.8% of the 12-month average.
  • Six of twelve months sat above the 12-month average (December–May), indicating a sustained elevated phase across late Q4 through the first half of 2025.

Comparison to baseline

  • Because the selected segment (Agriculture, India) has no data for this period, relative positioning against the global baseline cannot be determined. The global pattern shows a holiday/Q1 lift followed by a mid-year easing and a pronounced September dip.

Understanding cost per purchase benchmarks on Facebook Ads in industry Agriculture 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 Agriculture industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.