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
The headline: South Africa’s cost-per-purchase (CPCP) series is a study in extremes — mostly running below the global benchmark for All industries, punctuated by two outsized spikes that push the average well above market. 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 South Africa compared to the global benchmark.
From June 2025 to May 2026 the South Africa cost-per-purchase series began at about $23.02 in June 2025 and closed at roughly $409.72 in May 2026 — a more than 17x increase from start to finish. The highest month was September 2025 at $482.50; the lowest was a near-zero trough in July 2025 at $0.15. Across the 10 reported months the mean cost-per-purchase in South Africa was approximately $114.35, pulled upward by the September 2025 and May 2026 spikes. The median month sits much lower, around $38.7, which highlights that the “typical” month was below the global median even while the arithmetic average exceeds it.
Absolute volatility was high: the standard deviation is roughly $167 (coefficient of variation ≈ 146%), which signals extreme month-to-month swings. By contrast the global (baseline) months over the same window averaged about $50.24 with a standard deviation near $2.7 (CV ≈ 5%). Put another way, South Africa’s cost-per-purchase was roughly 27x more volatile than the global benchmark over these months.
Rhythm in the South Africa series is irregular rather than smoothly seasonal. Two dramatic peaks dominate the calendar — September 2025 ($482.50) and May 2026 ($409.72) — separated by a deep lull in July 2025 ($0.15). The second half of 2025 shows a sharp swing: low in July, moderate in August (~$47), then the September spike. December 2025 reverts to a lower level (~$23), and early 2026 (January–February) clusters near the global range (~$50–$52). March–April cool again (~$25–$30) before the late-spring surge in May. This produces a cadence of sudden lifts and declines rather than a steady seasonal ramp.
Viewed month-by-month, South Africa was below the global benchmark in more months than not: June, July, August, December, March and April all ran roughly 45–99% below the global figures. The narrowest gap appeared in January 2026, when South Africa was approximately 1–3% above global cost-per-purchase levels. The widest gap was September 2025, when South Africa ran about 9.1x (≈810%) higher than the global median. Averaged across the period, South Africa’s mean CPCP was about 128% higher than the baseline mean — a contrast driven by the two extreme outliers — while the median was about 21% below the global median, underscoring a distribution with frequent low-to-mid months and occasional very large spikes.
Understanding Facebook Ads cost-per-purchase benchmarks, CPC trends and CPM analysis in the context of country-specific ad costs reveals that All industries in South Africa delivered a choppy mix of below-market months and abrupt, high-cost anomalies when compared with global CTR performance and baseline CPC/CPM levels. Understanding Facebook Ads cost-per-purchase benchmarks for All industries in South Africa helps advertisers evaluate performance trends and compare to global patterns.
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 South Africa, 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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Late November (Black Friday/Cyber Monday), December (Christmas & Day of Goodwill), Mid-year retail (June Youth Day promotions)
CPM and CPC might rise during long weekends like Human Rights Day, Freedom Day, and Heritage Day as leisure and travel-related media consumption increases. Retail CPMs may spike in late November–December for holiday shopping. Youth Day and National Women's Day might drive regional campaigns. Weekend extensions across public holidays may benefit weekend campaigns.
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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