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October 2025 - September 2026
Benchmark observations based on the selected data
Textiles outpaced the global median for click-through-rate across the measurement window, but the story is one of sharp monthly swings rather than a steady advantage. 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.
Across August 2025–June 2026, Textiles averaged a 3.13% CTR, noticeably higher than the global median of about 2.04% over an overlapping period — roughly a 1.09 percentage-point (≈53%) premium. The series opened at 2.59% in August 2025, surged to a peak of 4.96% in September 2025, and finished at 2.27% in June 2026 — a net decline of about 12% from the opening month. The high in September stands out as an outlier: CTR jumped nearly 92% month-over-month from August to September, then corrected by about 26% into October.
Lows and highs: the floor for Textiles was 2.27% (June 2026) and the ceiling was 4.96% (September 2025). Monthly medians clustered between roughly 2.3% and 3.9% for most months, with three pronounced lifts — September 2025 (+4.96%), October 2025 (3.67%), and March 2026 (3.92%) — punctuating a pattern of intermittent rebounds.
Volatility was material. The average absolute month-to-month move for Textiles was about 0.82 percentage points, compared with roughly 0.08 for the global benchmark — approximately ten times the baseline fluctuation. That magnitude makes the Textiles series “lumpy”: periods of calm (small month-to-month changes in December and May) sit beside very large swings (Aug→Sep and Feb→Mar).
Rhythm in the Textiles CTR data shows concentrated surges and subsequent pullbacks rather than a smooth seasonal curve. September 2025 produced the largest lift in the year, followed by a retreat through late Q4. Another notable uptick occurred in March 2026, where CTR rebounded toward spring levels before settling into a lower, but still elevated, mid-year band.
Comparatively, the global baseline behaved more steadily with muted Q4 movement and a gentle lift into early 2026. In the Textiles series, stronger months are isolated and impactful, creating visible peaks rather than gradual ramps. Periods that were softer (late Q4 into January) alternate with sharp rebounds in subsequent months.
Viewed against the global benchmark, Textiles remained above market across every overlapping month. The margin ranged widely: the narrowest gaps were in January–June 2026 (about +11–12% above baseline), while the widest gap was September 2025 when Textiles ran roughly 162% above the global median. Overall, the Textiles CTR trend was more volatile and episodic than the global average, delivering higher peak engagement but with deeper month-to-month whipsaws.
Understanding Facebook Ads click-through-rate (CTR) performance and Facebook Ads benchmarks for Textiles across All countries available provides a clear view of how industry ad engagement diverges from broader CPM analysis and CPC trends — a useful reference for comparing CTR performance, country-specific ad costs, and industry ad performance.
Facebook advertising cost benchmarks
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 through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. Why we use median instead of average A small share of campaigns has extremely high CTRs. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CTR values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
CTR (Click-Through Rate) is the percentage of people who click an ad after seeing it. Calculate it by dividing total clicks by total impressions, then multiplying by 100. A high CTR can indicate that an ad resonates with its audience and may improve relevance score, which can lower overall costs.
Average Facebook ad CTR across industries is around 0.90-1.10%. Use your industry, audience targeting, and campaign objectives when choosing a benchmark.
Low CTR can result from audience targeting, creative, or a mismatch between ad content and audience needs. Check whether the visuals draw attention, the copy addresses clear pain points, and the targeting reaches people interested in the offer.
CTR is useful in context. A high CTR can signal that creative works, but it does not guarantee conversions. Review it with metrics such as conversion rate.
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