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Facebook Ads Cost Per Purchase Benchmarks for Textiles

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Textiles

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Textiles across all countries traced a very different cost-per-purchase arc than the broader market: soft through early 2025, then climbing steadily into late summer and fall while the global benchmark eased. The category began low in November 2024, dipped at year-end, spiked in February, and ultimately finished November 2025 well above its starting point. Volatility was also notably higher than the market, with sharper month-to-month movements and a decisive momentum shift midyear.

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 compared to the global benchmark.

The story in the data

For Textiles, median cost per purchase (CPP) averaged 44.43 over the period (Nov 2024–Nov 2025), ranging from a low of 26.82 in December to a high of 56.24 in February. The series opened at 31.16 (Nov 2024) and closed at 48.95 (Nov 2025), a 57% lift from start to finish. After the December low, CPP surged into February, cooled into April, then climbed again across late Q3 and early Q4, peaking a second time in September (55.21) before easing to 51.08 in October and 48.95 in November.

Volatility stood out. Average absolute month-to-month movement was 6.48 points, almost twice the global benchmark’s 3.45. The sharpest swings were +14.91 from December to January and −12.41 from February to March, with calmer patches in late spring (−0.19 from May to June) and moderate climbs from June through September.

Across the same window, the global benchmark averaged 48.06, with a narrower band (30.61–53.81). The market trend was steadier early in the year and then softened progressively into Q4, culminating in a deep drop in November.

Seasonal and monthly dynamics

The end of 2024 was the softest point for Textiles CPP (26.82 in December), followed by a dramatic Q1 rebound to a February high (56.24). Spring retreated toward the high 30s to low 40s. From July through September, CPP climbed again, hovering in the low-to-mid 50s, then eased slightly through October and November.

By halves, Textiles averaged 43.89 in H1 2025 and 51.26 in H2—about a 17% lift between periods. The global pattern ran in reverse: 51.53 in H1 versus 44.58 in H2, a 14% decline, reflecting a softer second half for the broader market.

Country vs. Global

Relative performance flipped midyear. Textiles trailed the global benchmark most of H1—December (−46%), April (−28%), and January (−20%) marked the widest gaps—before moving above market from July onward. The gap narrowed to near parity in July (+2%), widened modestly in August–October (+6% to +12%), and hit its peak in November 2025 (+60%) as Textiles held near 49 while the market fell to 30.61. On average, Textiles CPP ran 7% below global levels across the full period, but the back-half surge redefined the trajectory: −15% vs. market in H1, then +15% vs. market in H2.

Closing

Taken together, these Facebook Ads benchmarks show a Textiles CPP profile that is more volatile than the global norm, with a low in December, a February spike, and sustained strength from late summer into Q4. Understanding cost per purchase benchmarks for the Textiles industry across all countries—alongside related CPC trends, CPM analysis, and CTR performance—helps frame country-specific ad costs within broader industry ad performance and 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'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.