Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for Fitness & Training Centers in India

See how your CTR stacks up. Explore industry, regional, and campaign-type benchmarks with Superads.

CTR (Click Through Rate) for Fitness & Training Centers in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Fitness & Training Centers in India vs global trend

  • This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No in-market time series is available for Fitness & Training Centers in India in the period provided, so the comparison uses the global baseline as a reference.
  • Globally, click-through-rate (CTR) trends softened from late Q4 into January–February, then climbed steadily through Q3, peaking in September.
  • Baseline volatility was moderate: average month-to-month movement of about 0.05 percentage points, with the largest lift in July→August.
  • Overall baseline CTR rose by roughly 20% from October 2024 to September 2025.

What this analysis covers

This report reviews click-through-rate trends for industry Fitness & Training Centers and target country India compared to the global trend. Results are summarized for marketers seeking clear, directional Facebook Ads benchmarks.

Selected segment overview: Fitness & Training Centers, India

  • The selected_data series is empty for the period specified. As a result, averages, highs/lows, and volatility cannot be computed for India in this industry.
  • All relative positioning (“above market,” “below average,” or “in line with overall trends”) versus the global benchmark is therefore not determinable from the data provided.

Global baseline click-through-rate (reference)

Timeframe: Oct 2024–Sep 2025

  • Average CTR: 1.81%
  • High: 2.12% in September 2025
  • Low: 1.67% in February 2025
  • First-to-last change: from 1.76% (Oct 2024) to 2.12% (Sep 2025), a +20.1% increase
  • Volatility:
  • Average month-to-month absolute change: ~0.053 percentage points (≈2.9% of the series level)
  • Largest MoM gain: +0.12 points in August 2025 (+6.3% vs July)
  • Largest MoM decline: −0.05 points in December 2024 (−2.8% vs November)

Seasonality and notable movements

  • Late Q4 softness: CTR eased from October (1.76%) to December (1.69%), continuing into January (1.68%) and the trough in February (1.67%).
  • Spring recovery: March rebounded to 1.74% (+3.9% vs February), with April slightly softer (1.71%).
  • Q2–Q3 momentum: CTR rose from May (1.79%) through June (1.84%) and July (1.90%), with the strongest lift in August (2.02%) and a new high in September (2.12%).
  • The pattern indicates weaker engagement around late-year/early-year periods and stronger ad engagement through summer into early fall.

Relative positioning vs global baseline

  • Because the India Fitness & Training Centers series contains no data, we cannot assess whether the selection is above, below, or in line with the global benchmark during this window.
  • The global figures above serve as the best available directional reference for CTR levels and seasonality.

Understanding click-through-rate 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

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. 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. 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. 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.

Optimize Smarter with Superads

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.

Get Started for free →

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 is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.