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July 2025 - July 2026
Detailed observation of presented data
Argentina’s click-through-rate (CTR) pattern told a directional story of recovery and range rather than a steady climb. Across the 12 months from June 2025 to May 2026, CTR for all industries in Argentina started well below the global median and finished slightly above it, with pronounced month-to-month swings and two clear troughs in mid-2025 and Q4. 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 all industries in Argentina compared to the global benchmark.
Argentina’s CTR opened at 0.59% in June 2025 and closed at 2.10% in May 2026 — more than tripling over the period (≈+256%, +1.51 percentage points). The country-level median across the year was about 1.30%, with a low of 0.59% (June 2025) and a high of 2.10% (May 2026). By comparison, the global baseline averaged roughly 1.99% over the same months.
Monthly extremes stand out: June and November were the softest months (0.59% and 0.71%), while March and May showed the strongest engagement (1.80% and 2.10%). The sequence included sharp lifts—July (+0.70 pts), August (+0.36 pts), and a late surge into May (+0.41 pts)—and sudden pullbacks, notably from September to October (−0.78 pts) and October to November (−0.07 pts). Those swings created a jagged momentum curve rather than a steady trendline.
Keywords reflected across the dataset include Facebook Ads benchmarks, CTR performance, and country-specific ad costs — all showing Argentina’s market as a high-variance context for industry ad performance.
Seasonal rhythm shows a weak mid-year baseline (June) and a clear Q4 softness: October and November sit below the year median, consistent with heightened competition and lower engagement in many markets. Engagement rebounds through the winter-to-spring window (December → March), with the strongest sustained lift occurring in late Q1 and peaking in late spring (May). The month-to-month profile reads like a ladder: quick climb in midsummer, dip into Q4, then a steady ascent through Q1 into a strong late-spring peak.
Relative to the global baseline, Argentina trailed for most of the year. On average Argentina’s CTR was about 35% below the global median (1.30% vs. 1.99%). The gap was widest in June (Argentina ~67% below global) and narrowed steadily thereafter; by May Argentina slightly exceeded the global median (about 1.3% above). Argentina’s monthly absolute volatility averaged ~0.34 percentage points (average month-to-month move), compared with roughly ~0.06 points for the global baseline — more than five times the baseline volatility. In short: Argentina was more volatile and, for most months, below average, with a narrow gap (and brief overperformance) arriving in May.
Understanding Facebook Ads click-through-rate benchmarks for all industries in Argentina provides a data-grounded view of CTR performance, complements CPC trends and CPM analysis conversations, and situates country-specific ad costs within broader industry ad performance comparisons.
Insights & analysis of Facebook advertising costs
Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Argentina, advertisers should consider local market factors and user behavior. 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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December (Christmas period)
CPM might rise significantly during Carnival, Independence Day, and Christmas season. Retail and entertainment campaigns could require increased budgets.
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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