Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Gaming cost-per-purchase moved through a year of big swings, generally sitting below the overall market but punctuated by sharp month-to-month moves and two distinct spikes. 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 Gaming in All countries available compared to the global benchmark.
The Gaming median cost per purchase began the period at $11.42 (July 2025) and finished at $26.43 (July 2026), rising roughly 131% from start to finish. Across the 13 months the Gaming series averaged about $31.7 per purchase, with a low of $11.42 (July 2025) and a high of $53.13 (May 2026). Month-to-month momentum showed a sharp lift from July into August–September 2025 (jumping into the low $40s), a dip through December 2025 to about $22, a rebound across Q1 2026, then a pronounced spike to $53.13 in May 2026 before settling back into the high $20s–low $30s.
Volatility was material: the monthly standard deviation was roughly $9.9, about 31% of the Gaming mean — indicating notable swings in cost-per-purchase across the year rather than a flat trend.
There’s a clear rhythm: an unusually low baseline in mid‑summer 2025, a sustained period around $35–$41 in late summer and autumn, softness in December, and a Q1 recovery into March. The standout outlier was May 2026, when Gaming peaked at $53.13 — the single highest month in the series — followed by a retreat into late‑spring moderation. The series shows sharper spikes and troughs than a typical “steady” seasonal pattern, reflecting episodic increases in purchase costs rather than a smooth seasonal curve.
Compared to the global benchmark (average about $47.6 over the same period), Gaming in All countries available ran materially lower on average — about 33% below the global cost-per-purchase. The gap varied widely by month: at its largest in July 2025 Gaming trailed the global benchmark by roughly 77%, while at its narrowest (and occasionally inverted) Gaming exceeded the baseline by up to ~34% (notably in July 2026). Baseline volatility was lower in relative terms (global SD ≈ $8.6; CV ≈ 18%), underscoring that Gaming was more volatile relative to its own mean than the global market.
Understanding Facebook Ads cost-per-purchase benchmarks for Gaming in All countries available provides a data-driven lens on industry ad performance and country-specific ad costs versus the broader market, useful when reading CPC trends, CPM analysis, and CTR performance signals into purchase-cost behavior.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Gaming industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. 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.
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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.
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