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Facebook Ads Cost Per Lead Benchmarks for Textiles

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Cost Per Lead for Textiles

February 2025 - February 2026

Insights

Detailed observation of presented data

Introduction

Across all countries, Textiles Cost per Lead (CPL) delivered one of the choppier profiles in our Facebook Ads benchmarks: an ultra-low start in Q1, a shock spike in April, then a long cooldown that finished close to broader market levels. While the global benchmark moved steadily higher into Q4, Textiles oscillated between extremes — briefly eight times above market in April before settling slightly below market by year-end. Volatility, not direction, defined the story.

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 Textiles across all countries compared to the global benchmark.

The story in the data

Textiles CPL opened at $2.18 in January and dipped to the yearly low of $1.79 in February. The picture flipped in April with a dramatic peak at $301.49 — the year’s high — before easing to a $36.60 finish in December. Across the 11 reported months, the average CPL was $81.0, though the April surge heavily skews that figure; the median month sat near $56.8, and Q4 averaged $38.0.

Key beats:

  • Start to finish: $2.18 in January to $36.60 in December (16.8x higher by year-end).
  • Lows and highs: $1.79 (February) to $301.49 (April).
  • Mid-year steps: May–June steadied near $57; Q3 was elevated and choppy ($148 in July, $80 in August, $129 in September).
  • Volatility: average month-to-month movement of 84.4 points, far sharper than the global benchmark’s 2.6.

Seasonal and monthly dynamics

Seasonality appeared inverted for Textiles. Instead of a gentle spring build and Q4 tightness, the category experienced:

  • Q1 trough: minimal CPL in January–February.
  • Q2 spike and normalization: April’s outsized jump, then a quick slide to the mid-$50s by May–June.
  • Q3 turbulence: higher and uneven CPLs, with July and September notably above the year’s midline.
  • Q4 calm: a progressive softening from $39.86 in October to $36.60 in December — the most stable run of the year.

By contrast, the global benchmark followed a familiar pattern: rising through Q3 into an October/November crest (near $49) and easing in December ($42.24).

Country vs. Global

Relative to the overall market (all industries, all countries), Textiles swung from far below to far above and back below:

  • Q1: 94–96% below global CPLs.
  • April: 706% above global (8.1x).
  • July/September: 167–262% above.
  • Q4: 13–23% below global, with the narrowest gap in December (−13%).

On a comparable-month basis, Textiles averaged $81.0 versus the global $42.3 (+92%). Excluding April’s anomaly, Textiles still averaged about $58.9, roughly 39% above market. The category was also markedly more volatile than the global trend.

Closing

In Facebook Ads benchmarks, the Textiles industry across all countries showed a rare CPL profile in 2025: extreme spring highs, elevated summer costs, and a notably softer Q4 that finished slightly below the global average. Understanding Cost per Lead benchmarks for Textiles across all countries — alongside related CPC trends, CPM analysis, and CTR performance — helps frame country-specific ad costs and industry ad performance against global patterns.

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. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.