Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Textiles in India

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead for Textiles in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per lead benchmarks: summary and key takeaways

This analysis looks at cost per lead trends for industry Textiles and target country India compared to the global trend. It is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

  • The selected dataset for Textiles in India contains no observations for the period reviewed, so a direct, numeric comparison to the global baseline cannot be computed.
  • Globally, average cost per lead across the last 12 months was 36.04, with a high in November 2024 (41.58) and a low in September 2025 (20.63).
  • From October 2024 to September 2025, global costs fell 33.7% overall, driven largely by a sharp drop in September 2025.
  • Seasonality is evident: costs rose in Q4 (holiday period), eased in Q1, rebounded in spring, held steady through summer, and dipped sharply in September.
  • Month-to-month volatility averaged 4.75, with the largest jump in November 2024 (+10.45 vs. October) and the steepest decline in September 2025 (-16.40 vs. August).

Scope and context

  • Metric: cost per lead (CPL)
  • Industry: Textiles
  • Country: India
  • Timeframe: Oct 2024–Sep 2025
  • Note: The selected Textiles–India time-series is unavailable; findings below describe the global baseline to provide context.

Global baseline benchmark (Oct 2024–Sep 2025)

  • Average: 36.04
  • High: 41.58 (November 2024)
  • Low: 20.63 (September 2025)
  • First vs. last month: 31.12 (October 2024) to 20.63 (September 2025), a 33.7% decrease
  • Volatility: average absolute month-to-month change of 4.75
  • Largest increase: October to November 2024, +10.45
  • Largest decrease: August to September 2025, -16.40
  • Above/below average:
  • Above-average months: November, December, February, April, May, June, July, August (8 of 12)
  • Below-average months: October, January, March, September

Seasonal patterns

  • Q4 uplift: Costs climbed during the holiday period, peaking in November (41.58) and remaining elevated in December (39.63).
  • Q1 reset: Costs softened in January (35.54) and March (32.84) versus the December level.
  • Spring rebound: April–May returned to the upper 30s (38.59–39.63).
  • Summer stability: June–August remained steady around the high 30s (38.35–38.67; August at 37.03).
  • Late-period dip: An unusually low September (20.63) drove the overall year-over-year decline.

Comparison: Textiles in India vs. global baseline

  • Due to missing selected data for Textiles in India, relative positioning (“above market,” “below average,” or “in line with overall trends”) cannot be determined for this period.
  • As context, the global market displayed:
  • Elevated CPL during Q4,
  • Moderation in Q1,
  • A spring/summer plateau near the high 30s,
  • A pronounced dip at the end of the period.

Understanding cost per lead benchmarks on Facebook Ads in industry Textiles 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 Textiles 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 is considered a good cost per lead on Facebook in 2025?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.

How can I generate leads at a lower cost without hurting lead quality?

Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.