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Facebook Ads Cost Per Purchase Benchmarks for Energy and Mining in India

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

Cost Per Purchase for Energy and Mining in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost-per-purchase benchmarks summary

This analysis looks at cost-per-purchase trends for industry Energy and Mining 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.

  • Key takeaways:
  • No in-market observations were available for Energy and Mining in India during the period, so relative positioning versus the global baseline cannot be quantified.
  • Globally, cost-per-purchase averaged about 47.73 across Sep 2024–Sep 2025, peaking in February 2025 and falling sharply into September 2025.
  • Clear seasonal pattern: costs rise in late Q4 and Q1, then cool through Q2, with a pronounced late-summer/early-fall decline.
  • Volatility was moderate overall, with an average month-to-month move of roughly 6.4%, punctuated by a large drop in September 2025.

Scope and data coverage

  • Metric: cost-per-purchase
  • Industry: Energy and Mining
  • Country: India
  • Observation window: Sep 2024–Sep 2025
  • Data series:
  • Selected cohort (Energy and Mining, India): no available monthly data points in the provided period.
  • Global baseline: monthly medians provided for 13 months.

Selected cohort (Energy and Mining, India)

  • No recorded monthly medians were available for the selected cohort in the period. As a result, averages, highs/lows, and volatility for India cannot be reported from the supplied data.

Global baseline highlights (directional context)

  • Average (Sep 2024–Sep 2025): 47.73
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Change from first to last month: down 30.7% (46.60 in Sep 2024 to 32.29 in Sep 2025)
  • Notable spikes/dips:
  • +19.3% month-over-month increase from November to December 2024 (holiday lift)
  • -7.9% from May to June 2025
  • -29.3% from August to September 2025 (largest single-month decline)
  • Volatility:
  • Average absolute monthly change ≈ 6.4%
  • Excluding the September 2025 drop, average absolute monthly change ≈ 4.3%

Seasonal patterns

  • Q4 2024 average: 47.13 (Oct–Dec), with a strong December uplift.
  • Q1 2025 average: 52.94 (Jan–Mar), representing the highest quarter in the period.
  • Q2 2025 average: 49.83 (Apr–Jun), a gradual easing following Q1 highs.
  • Q3 2025 average: 41.39 (Jul–Sep), driven by a steep September decline.
  • From the February 2025 peak (53.89) to September 2025 (32.29), the baseline fell by about 40%, underscoring the late-summer/early-fall reset after earlier seasonal strength.

Comparison and positioning

  • Because there are no selected cohort observations for Energy and Mining in India, we cannot determine whether India is above market, below average, or in line with overall trends.
  • The global baseline provides a directional reference: elevated costs through Q4–Q1, softening in Q2, and a notable drop into September.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Energy and Mining 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 Energy and Mining 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.