Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Argentina’s cost-per-purchase pattern for all industries tells a story of episodic extremes rather than steady drift. Relative to the global benchmark, Argentina ran generally higher and far more volatile, with one extraordinary March 2026 spike that dominated the year. 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.
Starting at $74.08 in July 2025 and finishing at $53.59 in July 2026, Argentina’s monthly cost-per-purchase series oscillated wildly. The mean cost across the sampled months was roughly $189 — however that average is heavily skewed by a March 2026 high of $1,203.13. The median sits near $64, reflecting a more typical month outside the outlier. Argentina’s observed range ran from a low of $6.13 (September 2025) to the peak of $1,203.13 (March 2026), an almost 200x spread between the extremes.
Key monthly moves include a plunge into single digits in September 2025 ($6.13), a rebound into three figures by November 2025 ($155.27), the dramatic surge in March 2026 ($1,203.13), and secondary peaks in April ($150.86) and June 2026 ($191.37). Several months—December 2025 ($19.25), January 2026 ($30.12), and May 2026 ($7.73)—sat well below the series mean, showing frequent sharp swings rather than smooth momentum.
Volatility was pronounced: the standard deviation of Argentina’s series is roughly $363 monthly, versus about $9 for the global baseline — indicating Argentina was approximately 40x more variable in cost-per-purchase across this period.
The rhythm across the year is jagged. Q4 showed elevated pockets (November’s jump to $155), then a softer showing in December and January. March produced the largest anomaly—an outsized surge that breaks typical seasonal expectations. After March, costs peeled back but remained punctuated by spikes in April and June, and troughs in May and September. The baseline shows a steadier seasonal pattern—mild Q4 pressure and a March uptick—while Argentina’s series amplifies and distorts those seasonal signals into sharp spikes and deep troughs.
Compared to the global baseline mean of about $47.55, Argentina’s central tendency (median ~$64) was meaningfully above market levels. Argentina trailed or led the baseline depending on month: July 2025 was ~51% above the global $49.18; March 2026 was roughly 21.5x the global March level ($56). At its narrowest gap Argentina sat modestly above baseline; at its widest (March) it exceeded the global benchmark by multiple thousands of percent. In short, Argentina’s cost-per-purchase series was consistently more volatile and frequently above average versus the global CPM/CPC-style benchmarks.
Understanding Cost Per Purchase benchmarks for all industries in Argentina — alongside related references such as Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance, country-specific ad costs, and broader industry ad performance — helps contextualize how market-level cost behavior in Argentina diverged from global patterns.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Argentina, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. 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 CPP 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.
Analyze Facebook ad performance
See which ads, audiences, and creatives drive results.
Spot creative patterns that affect ROAS.
Create reports without spreadsheets.
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.
December (Christmas period)
CPM may rise during Carnival, Independence Day, and Christmas. Retail and entertainment campaigns may need larger budgets.
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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Compare cost benchmarks for Facebook advertising metrics.
Cost per click benchmarks across industries
Cost per thousand impressions across markets
Click-through rate benchmarks for Facebook Ads
Cost per lead benchmarks across markets
Cost per purchase benchmarks across industries
App install cost benchmarks