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February 2025 - February 2026
Detailed observation of presented data
Globally, Textiles stood out for strong engagement in Facebook Ads benchmarks. After a sharp stumble early in the year, the industry found momentum and finished with a decisive surge: CTR climbed from 2.20% in January 2025 to 4.03% by January 2026, nearly doubling the all‑industry global benchmark at that point (2.08%). The arc is clear—an early dip, a steady rebuild through mid‑year, and a powerful Q4 lift that extended into the new year—delivering higher averages and more pronounced swings than the market overall.
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 period opened at 2.20% CTR, dropped to a low of 1.05% in February, then rebounded and accelerated through the back half of the year to a 13‑month high of 4.03% in January 2026. Across the full window, Textiles averaged 2.48% CTR, with a nearly 3‑point spread between its low and high.
Month-to-month movement was notable. The steepest downswing came in February (−1.16 points), followed by a partial March recovery (+0.64). After a stable April–May band around 2.14–2.16%, June softened slightly (1.76%), and then the trend shifted up in a staircase pattern: +0.37 in August, +0.48 in September, +0.38 in November, and +0.47 into January 2026. Volatility averaged 0.43 points per month—roughly seven times the global all‑industry average move (0.06 points), underscoring a choppier but upward‑tilting profile.
Seasonality showed through in a classic Q1 trough, with February marking the year’s weakest engagement and March beginning the rebuild. Q2 held a steady mid‑range pace (2.02% average), before Q3 accelerated (2.53% average), culminating in a standout Q4. October through December averaged 3.23%, about 60% higher than Q2 and 28% above Q3. The run-up from September to December alone added 20%, reflecting stronger ad engagement late in the year—often a competitive period when CTRs can soften—yet Textiles continued to climb.
Against the global benchmark, Textiles was above market in 10 of 13 months. It briefly underperformed during February (−37%), March (−3%), and June (−1%). From July onward, the industry consistently ran ahead, with the gap widening into Q4: +43% in October, +68% in November, and +70% in December versus global CTRs. At the peak, January 2026 CTR was 94% above the all‑industry baseline.
On yearly averages, Textiles posted 2.36% CTR in 2025, 28% higher than the global 2025 average of 1.84%. The trajectory also diverged: from January 2025 to January 2026, Textiles rose 83%, while the global benchmark advanced 23%. The stronger slope and higher volatility together define the period—more pronounced swings, but a clearer upward destination.
Understanding Facebook Ads click‑through‑rate benchmarks for the Textiles industry across all countries highlights a year of resilient CTR performance, marked by a Q1 dip, a mid‑year rebuild, and a sharp Q4 lift that outpaced the global benchmark. These CTR performance trends provide a grounded reference point for industry ad performance within global Facebook Ads benchmarks.
Insights & analysis of Facebook advertising costs
Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. 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. 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. The data shown represents median values across multiple campaigns, and individual results may vary based on ad quality, audience targeting, and campaign optimization.
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.
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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CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.
The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.
Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.
Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.
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