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Facebook Ads CTR Benchmarks for Media in India

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CTR (Click Through Rate) for Media in India

December 2024 - December 2025

Insights

Detailed observation of presented data

Introduction

The Media industry in India posted a year of extremes in Facebook Ads click‑through rate (CTR): an average that sat roughly on par with the global benchmark, but with far sharper peaks and troughs. The story is defined by three outsized spikes (February, June, July) surrounded by long stretches of soft engagement. Globally, CTR climbed steadily through the year; in India, it whipsawed.

This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Media in India compared to the global benchmark.

The story in the data

Across December 2024–October 2025, Media CTR in India averaged 1.79%, essentially level with the 1.80% global average over the same months. But the path was anything but average. CTR started at a trough of 0.15% in December, rose to 1.60% in January (still 5% below the market), then surged to 3.11% in February (+95% month over month). It slid back to 1.06% in March and 0.58% in April before dipping to 0.35% in May.

The centerpiece was a dramatic mid‑year lift: 4.74% in June (+1,251% from May) and a yearly high of 6.93% in July (+46% from June). That momentum evaporated just as quickly—August fell to 0.58% (−92% vs. July), September to 0.30%, and October steadied slightly at 0.34%.

By the numbers:

  • High: 6.93% (July); Low: 0.15% (December) — a 6.78‑point spread.
  • Average: 1.79%; Median: 0.58% (skewed upward by the June–July spikes).
  • Volatility: month‑to‑month changes averaged 1.90 points, showing a choppy cadence.

Seasonal and monthly dynamics

Seasonality showed an unusual rhythm. Q1 (Jan–Mar) averaged 1.92%, lifted by the February spike. Q2 (Apr–Jun) held at 1.89%, but almost entirely due to June’s outsized jump after two very soft months. Q3 (Jul–Sep) topped the period at 2.60%, again driven by July; August and September reverted to sub‑1% levels. By October, CTR remained subdued at 0.34%.

This differs from the steadier global pattern where CTR gradually firmed from early year into Q3 and October. The Indian Media trend delivered short, intense bursts of engagement rather than a smooth seasonal build.

Country vs. Global

Compared to the global Facebook Ads benchmarks, India’s Media CTR was more volatile and more polarized:

  • Range: India’s 6.78‑point spread was roughly 18× the global spread (0.37 points from 1.66% to 2.03%).
  • Volatility: average monthly swing of 1.90 points in India vs. just 0.05 points globally.
  • Direction: the global line rose steadily (+19% from December to October), while India’s oscillated—December at 0.15% (−91% vs. global), a mid‑year crest (July was +266% above global), then back to 0.34% in October (−83% vs. global).
  • Consistency: India trailed the market in 8 of 11 months; it outperformed in February (+87% vs. global), June (+162%), and July (+266%).
  • Gap dynamics: Narrowest gap came in January (India 5% below global). The widest gap appeared in July, when India’s CTR was over three and a half times the benchmark.

Closing

In short, Facebook Ads CTR performance for the Media industry in India matched the global average on paper but reached it through dramatic surges and retreats. Understanding Facebook Ads click‑through‑rate benchmarks for Media in India—alongside broader CPC trends, CPM analysis, and country‑specific ad costs—helps teams evaluate how engagement patterns compare to global CTR performance and the overall market benchmark.

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 Media 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.

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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.