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Facebook Ads Cost Per Purchase Benchmarks for Fitness & Training Centers in India

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Cost Per Purchase for Fitness & Training Centers in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • No monthly observations are available for Fitness & Training Centers in India; as a result, a direct comparison to the global baseline cannot be computed for this period.
  • The global baseline for cost-per-purchase averaged 47.82 across the last 12 months, peaking at 53.89 in February 2025 and bottoming at 32.29 in September 2025.
  • Overall baseline trend declined 30.8% from October 2024 to September 2025, with a sharp month-to-month dip in September 2025 (-29.3%).
  • Seasonality is evident: costs rose into December (holiday period), stayed elevated through February, and softened into mid-year before the September low.
  • Baseline volatility was moderate, with an average absolute month-over-month change of about 7.0%.

Overview

This analysis looks at cost-per-purchase trends for industry Fitness & Training Centers 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. All figures refer to median monthly cost-per-purchase.

Selected dataset: Fitness & Training Centers in India

  • Data availability: No monthly data points were provided for the selected industry and country.
  • Impact: Without observations, averages, highs/lows, and volatility for India cannot be calculated, and relative positioning versus the global baseline (above market, below average, or in line) cannot be determined for this period.

Global baseline trends (all industries/countries)

  • Period covered: October 2024 to September 2025 (12 months)
  • Average cost-per-purchase: 47.82
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • First vs. last month: 46.67 (Oct 2024) to 32.29 (Sep 2025), a -30.8% change
  • Volatility:
  • Average absolute month-to-month change: ~7.0%
  • Notable movements:
  • November to December 2024: +19.3% (holiday lift)
  • May to June 2025: -7.9%
  • August to September 2025: -29.3% (largest single-month decline)
  • Seasonal patterns:
  • Costs climbed into December, consistent with Q4 holiday pressures.
  • Elevated levels extended through January–February before easing.
  • Gradual softening in late spring and summer culminated in the September low.

Comparison: Selected vs. global baseline

  • Relative level: Not measurable due to lack of India data for Fitness & Training Centers.
  • Directionality: The global baseline provides context that costs typically firm in Q4, remain relatively elevated into early Q1, and may ease thereafter.
  • Positioning vs. market: Undetermined for the selected segment; the global metrics above serve as the reference point for the period.

Notable spikes and dips in the baseline

  • Spike: December 2024 (+19.3% month-over-month), aligning with holiday-driven demand.
  • Elevated plateau: January–February 2025, with the annual high in February (53.89).
  • Dip: A broad cooling trend from March through August, followed by a pronounced drop in September to the annual low (32.29).

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Fitness & Training Centers 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 Fitness & Training Centers 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.

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