See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
June 2025 - June 2026
Detailed observation of presented data
The headline: Brazil’s Cost Per Purchase moved from a high starting point into a dramatic, volatile trough — ending the 12‑month window far below the global median. 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 Brazil compared to the global benchmark.
Brazil began the period (June 2025) with a median Cost Per Purchase (COP) of about 77.84, versus a global median of roughly 49.14 — about 58% above the benchmark. Over the next 12 months Brazil’s COP averaged approximately 26.20, with a high of 77.84 (June 2025) and a low of 0.37 (February 2026). The global baseline across the same months averaged about 49.77.
From June to May the Brazil series shows a net decline of roughly 86% in absolute terms (77.8 → 10.66), though the path was jagged. Notable swings: a steep drop in June→July (−47.1 points, −60%), a sharp rebound into September (20.99 → 71.94), and then consecutive collapses through late 2025 into Q1 2026, hitting the year’s trough in February at 0.37. May 2026 registers a partial lift to 10.66. Monthly volatility (average absolute month‑to‑month change) was approximately 17.4 units — large relative to the mean.
The rhythm reads as episodic spikes and deep troughs rather than smooth seasonality. Early summer 2025 contained the period’s two largest peaks (June and October), while the typical Q4 competitive pressure did not produce a sustained Q4 peak in COP; instead October held steady high and November collapsed. The lowest activity runs through December into April, with the deepest trough in February 2026. By May there is a modest rebound, but levels remain far below the prior-year highs. This pattern suggests sharp momentum shifts month to month rather than a predictable quarterly cadence.
Relative to the global baseline, Brazil was intermittently above market (June, September, October) but trailed global medians for the majority of months. Across the year Brazil’s median COP was about 47% below the global average. The gap fluctuated dramatically: at its widest Brazil recorded nearly 99% lower COP than the global median (Feb–Apr 2026), while at its narrowest Brazil was roughly 58% above the global median (June 2025). Volatility comparison is striking: Brazil’s month‑to‑month swings (~17.4 units) were roughly 5.6× the global baseline’s monthly movement (~3.1 units), signaling a far more erratic cost environment for Brazil compared with world markets.
Understanding Cost Per Purchase benchmarks for all industries in Brazil provides a clear lens into country-specific ad costs and how they diverge from global CPM analysis, Facebook Ads benchmarks, CPC trends, CTR performance, and broader industry ad performance patterns in Brazil.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Brazil, 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. 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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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.
December (Christmas), Late November (Black Friday), Children's Day (Oct 12)
CPM and CPC might rise around Carnival and Independence Day due to increased social activity. Children's Day (Oct 12) and Black Friday could see sharp spikes in competition. December (Christmas) may surge e‑commerce traffic, prompting high CPMs. Extended holiday weekends could shift ad engagement patterns.
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.
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.
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.
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.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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Average cost per purchase benchmarks across industries
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