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Facebook Ads CTR Benchmarks for Healthcare in India

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CTR (Click Through Rate) for Healthcare in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: monthly trend summary

Key takeaways

  • This analysis looks at click-through-rate (CTR) trends for industry Healthcare and target country India compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • Average CTR in the selection (Oct 2024–Jul 2025) is 0.83%, well below the global baseline at 1.75% (about 53% lower), indicating below-market performance for most months.
  • Volatility is high in the selection: average month-to-month swing is 0.90 percentage points versus just 0.04 for the global baseline.
  • Seasonal pattern in the selection shows sharp, isolated spikes in December and June, rather than a smooth build; the global baseline trends gently downward into February then steadily upward into late summer.
  • 9 of 10 months in the selection track below the global baseline; June 2025 briefly exceeds it.

Overview and context

We analyze monthly median CTR for Facebook Ads across October 2024 to July 2025 for Healthcare in India (“selected data”) and compare it to the global baseline over the same window. Values are reported in percentage points.

Selected trend analysis

  • Level: Average CTR is 0.83%, with a median of 0.67%.
  • Highs and lows:
  • High: 2.06% in June 2025.
  • Low: 0.19% in November 2024.
  • Range: 1.87 percentage points.
  • Notable spikes/dips:
  • November → December 2024 jumps from 0.19% to 1.51% (+1.32 pp).
  • January → February 2025 drops from 1.16% to 0.22% (-0.94 pp).
  • May → June 2025 surges from 0.30% to 2.06% (+1.75 pp), followed by a sharp fall to 0.37% in July (-1.69 pp).
  • Volatility: Average month-to-month absolute change is 0.90 pp, exceeding the series’ own average, indicating a spiky pattern.
  • Trend change: First-to-last month change is +20% (0.31% in Oct 2024 to 0.37% in Jul 2025), masking large interim swings.

Comparison to the global baseline

  • Level: Global average CTR is 1.75% for the same period, with a median around 1.74%. The selection is about 53% below this level overall.
  • Highs and lows (overlap window):
  • Baseline high: 1.90% in July 2025.
  • Baseline low: 1.67% in February 2025.
  • Baseline range: 0.23 pp (substantially tighter than the selection’s 1.87 pp).
  • Volatility: Baseline average month-to-month change is 0.04 pp, around 22x steadier than the selection.
  • Month alignment: The selection exceeds the baseline only once (June 2025). All other months are below market.
  • Baseline seasonality: The global trend eases from October into February, then rises steadily through summer; beyond the overlap, it continues climbing into August (2.02%) and September (2.12%).

Seasonality and volatility signals

  • Selection: Peaks in December and June with intermittent troughs (November, February, May, July) point to campaign-driven or short-lived engagement surges rather than consistent seasonal uplift.
  • Baseline: Smoother build from late Q1 into Q3 suggests broad market engagement improves mid-year; the selection does not fully mirror this steady pattern.

Conclusion

Across October 2024–July 2025, Healthcare in India records a below-market CTR profile versus the global baseline, with infrequent peaks (notably June) and markedly higher volatility. Understanding click-through-rate benchmarks on Facebook Ads in industry Healthcare 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 Healthcare industry, Facebook ad costs can be higher than average due to specialized audience targeting and compliance requirements. 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.

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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 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.