See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Brazil’s cost-per-purchase (COST_PER_PURCHASE) moved from very high levels into a dramatically lower and highly unstable range over the 13-month window, finishing well below the global benchmark. 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.
In plain terms: Brazil started the period with an elevated cost-per-purchase (~77.8) and ended much lower (~24.0), but the path was jagged — several large spikes and collapses produced extreme month-to-month swings. The global baseline tracked a steadier decline from roughly 49 to 25 over the same period.
Starting point (Brazil): June 2025 = 77.84. Ending point: June 2026 = 23.98, a decline of about −69% from start to finish. Brazil’s 13‑month median cost-per-purchase averaged roughly 26.1, with a high of 77.84 (June 2025) and a low of 0.37 (February 2026). By contrast, the global baseline averaged about 48.2, peaking near 55.54 (March 2026) and bottoming at 25.50 (June 2026).
Key monthly movements: Brazil fell sharply between June and July 2025 (−61%), eased further into August (−32%), then rebounded hard in September and October to the low 70s. A pronounced collapse followed in November and December (into single digits), with an ultra‑low trough in February 2026 (≈$0.37), then a volatile rebound into spring and a mid‑year uptick to $23.98 in June 2026. The dataset shows several multi‑month surges (e.g., Aug→Sep, Dec→Jan→Feb reversals) and an extreme April→May move where a very small April base produced a +~2,200% month-over-month change.
Volatility: Brazil’s month-to-month moves were far larger than the baseline. Average absolute monthly percent change for Brazil was dominated by double- and triple‑digit swings (roughly +/−266% on average), versus the global baseline’s much smaller average monthly absolute change (~8.7%). That contrast highlights Brazil as a more volatile market for cost-per-purchase in this period.
Rhythm over the year shows a pattern of peak costs in mid-year and early fall (June → Oct spikes), followed by a steep softening into late Q4 and an unusually low Q1 (Dec → Feb). Brazil’s Q4 movement was not uniformly strong — after a September–October peak it stepped down sharply into November and December. The global baseline showed a more muted seasonal swing, with its largest single drop occurring into June 2026.
Several months stand out: September–October 2025 (highs near the mid‑70s), February–March 2026 (very low levels and rapid percentage swings), and April→May 2026 (an outsized rebound from a micro base).
Relative to the global benchmark, Brazil ran materially below average on a mean basis (Brazil average ≈$26.1 vs global ≈$48.2 — about 46% lower). Both series declined from their mid‑2025 starting points, but Brazil’s fall was steeper (−69% vs global −48% over the period). Brazil’s pattern was also far more volatile — single‑month moves commonly measured in tens to hundreds of percent, versus the global baseline’s single‑digit to low‑double‑digit shifts.
Understanding cost-per-purchase benchmarks for All industries in Brazil in the context of Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, and country-specific ad costs offers a clear signal: Brazil showed deeper troughs and sharper rebounds than the global pattern, making its industry ad performance notably more erratic during this year.
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.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app