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Facebook Ads Cost Per Purchase Benchmarks for Textiles in United States

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Cost Per Purchase for Textiles in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: Textiles in the United States vs. global

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

Key takeaways

  • Overall level: The United States Textiles segment averaged $41.39 cost per purchase, below the global benchmark of $47.82 (about 13.4% below market).
  • Range and volatility: Selected data ranged from $34.30 to $48.02 with an average month-to-month move of $3.43 (8.1%), slightly more volatile than the global series at $3.25 (7.0%).
  • Seasonality: Costs were elevated in December–January (peak in January), eased through spring/summer to a trough in August, and ticked up in September—consistent with holiday-driven Q4/Q1 pressure and summer softness.
  • Relative positioning: Below the global baseline in most months (typically 8%–25% lower), except October (+1% above) and September (+8% above, driven by a sharp global dip).
  • Trend over time: From October 2024 to September 2025, the United States Textiles series declined 25.9%, while the global baseline fell 30.8%.

United States Textiles: trend overview

  • Average: $41.39 across the period.
  • High/low: Highest in January 2025 at $48.02; lowest in August 2025 at $34.30.
  • First-to-last change: From $47.26 (Oct 2024) to $35.02 (Sep 2025), a 25.9% decrease.
  • Volatility: Average absolute month-to-month change of $3.43 (8.1%).
  • Notable movements:
  • Sharp dip in November 2024 (−19% vs. October), followed by a strong rebound in December (+23% vs. November) and a peak in January.
  • Progressive easing through spring and summer, reaching the lowest point in August.
  • Mild recovery in September.

Comparison with the global baseline

  • Level comparison:
  • Average: $41.39 (United States Textiles) vs. $47.82 (global) — below market overall.
  • Seasonal peaks: United States Textiles peaked in January ($48.02); global peaked later in February ($53.89).
  • Lows: United States Textiles bottomed at $34.30 (Aug); global at $32.29 (Sep).
  • Month-by-month positioning:
  • Above market in October 2024 (+1%) and September 2025 (+8%).
  • Below market in all other months, typically by 8%–25% (largest gaps in August and March).
  • Volatility comparison:
  • United States Textiles: $3.43 average absolute monthly change (8.1%).
  • Global baseline: $3.25 (7.0%).
  • Seasonal patterns:
  • Both series show elevated costs across late Q4 into Q1.
  • The global series maintained higher levels through February before a marked drop in September.
  • United States Textiles mirrored the broad shape but with lower absolute levels and an earlier summer trough.

Seasonal patterns and spikes

  • Q4–Q1: Elevated costs around the holidays and into January; United States Textiles averaged $44.15 in Q4 vs. the global $47.13.
  • Spring–summer: Gradual softening; United States Textiles reached its trough in August ($34.30), then edged up in September.
  • Divergence late in the period: The global series saw a sharp drop in September, while United States Textiles edged higher, putting it temporarily above market.

Understanding cost per purchase benchmarks on Facebook Ads in industry Textiles and United States 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 United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

What's a healthy cost per purchase for ecommerce brands?

It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.

How does product price impact CPA benchmarks?

Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.

Why are my purchase costs going up despite stable ROAS?

Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.

Should I use manual bidding to control CPA more effectively?

Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.