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Facebook Ads Cost Per Lead Benchmarks for Textiles

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Cost Per Lead for Textiles

August 2025 - August 2026

Insights

Detailed observation of presented data

Introduction

Textiles show a markedly different cost profile versus the global benchmark: median Cost Per Lead (CPL) for Textiles across All countries available sits far below the baseline but is much choppier month-to-month, with a late surge into spring 2026. 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 in All countries available compared to the global benchmark.

The story in the data

The Textiles CPL series began at about $8.02 in August 2025 and finished at $25.93 in June 2026. Across the 11-month window the median CPL averaged roughly $16.14, ranging from a low of $6.32 (October 2025) to a high of $39.52 (April 2026). That low-to-high swing represents an increase of roughly 525% between the trough and the peak. By contrast, the global baseline for the same months averaged about $46.33, with values between approximately $37.07 (June 2026) and $53.22 (February 2026).

Month-to-month momentum in Textiles was pronounced. After a relatively calm late‑2025 (sub-$8 CPLs from August–December), CPLs climbed to $14.33 in January 2026, oscillated through a mid-March spike ($17.81), and then surged to the year’s peak in April ($39.52) before easing toward $25.93 by June. The series ended roughly 223% higher than it began (Aug → Jun).

Seasonal and monthly dynamics

There is a clear seasonal rhythm: the market was quieter through Q3–Q4 2025, then lifted in early Q1 2026 and accelerated sharply into April and May. The April 2026 spike is the standout monthly movement—more than double the prior month—creating a strong spring uplift and a subsequent cooling through late spring. Across the period, bursts of volatility punctuated otherwise lower-cost months, producing a pattern of sudden lifts and partial rebounds rather than steady growth.

This CPL behavior sits alongside broader performance signals that performance marketers track—part of the Facebook Ads benchmarks conversation that also includes CPC trends, CPM analysis, and CTR performance—so the textile CPL narrative is one thread in a wider tapestry of industry ad performance and country-specific ad costs.

Country vs. Global

Compared to the global baseline, Textiles in All countries available ran considerably below average for most of the year. On average Textile CPLs were about 65% lower than the global benchmark ($16.14 vs. $46.33). The gap narrowed briefly in April 2026 when textiles peaked at $39.52—roughly 7% above the global period low ($37.07)—but at its widest the gap was dramatic: textiles’ trough ($6.32 in Oct) sat about 88% below the global peak (~$53.22 in Feb). Relative volatility was also higher in Textiles: average absolute monthly moves ran near $5.9 (about 36% of the textile mean) versus baseline monthly moves of roughly $3.9 (about 8% of the global mean), making the textile series noticeably more choppy.

Understanding Cost Per Lead benchmarks for Textiles across All countries available contributes to the broader set of Facebook Ads benchmarks and helps frame industry ad performance and country-specific ad costs for comparison with CPC trends, CPM analysis, and CTR performance.

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.