Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Textiles

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

Cost Per Lead for Textiles

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction — the main story

Textiles’ cost-per-lead (CPL) ran materially below the global benchmark for most of the period, then surged into extreme volatility in late spring. 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

From August 2025 to June 2026 the Textiles CPL began at $8.02 and finished at $101.71 — a roughly 12.7x increase (+1,168%) from the start to the end of the series. The monthly median for Textiles across this window was about $23.56, with a low of $6.32 (October 2025) and a peak of $101.71 (June 2026). By contrast, the global baseline median over the same months averaged $46.11, ranging from $35.15 (June 2026) to $53.35 (February 2026). In plain terms, Textiles ran nearly 49% below the global CPL on average before the late spike.

Monthly movements in the Textiles series show two regimes: a relatively quiet sub-$15 corridor from August through December 2025 (typical month values $6–$14), then a jumpy period starting January 2026 with oscillation and steep climbs. Notable month-to-month moves include a January lift to $14.33 (+92% versus December), a March to April jump from $17.81 to $39.40 (+121%), and the largest single move from May to June 2026 (+150%), where CPL rose from $40.75 to $101.71.

Volatility was high. The Textiles series’ standard deviation across the window is roughly $27.5, compared with about $4.8 for the global benchmark. Average absolute monthly change for Textiles was about $10.7 versus about $4.0 for the baseline — roughly 2.7x the baseline churn.

Seasonal and monthly dynamics

Early-season behavior (late summer through the end of the year) stayed muted, with CPLs clustered under $15 — a calm cadence. The calendar turned in January 2026 with an immediate lift, followed by further acceleration in March and a substantial run in April–June. The late-Q2 acceleration contrasts with the baseline, which showed more modest swings and a gradual decline from winter highs into late spring. Overall rhythm: a quiet Q3–Q4, a mid-Q1 pickup, and a volatile ramp through Q2.

Country vs. Global

Across the entire span Textiles in All countries available was generally below market — roughly half the global CPL on average — until the Q2 spike erased that gap and pushed Textiles well above the benchmark in May–June. Where the baseline moved modestly (a net decline of about 20% from August to June), Textiles experienced choppier, amplification-driven moves (start-to-end +1,168%). In volatility terms, Textiles was substantially more volatile than the global benchmark (SD ≈ $27.5 vs $4.8; average monthly absolute change ≈ $10.7 vs $4.0).

Understanding cost-per-lead behavior for Textiles in All countries available within these Facebook Ads benchmarks context highlights how industry ad performance and country-specific ad costs can diverge sharply from global CPM analysis and CPC trends — and how CPL swings can dominate seasonal CTR performance narratives.

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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.