Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
The main story: Cost Per Purchase (CPP) in Marketing & Advertising across All countries available started the 12‑month window well below the global benchmark, then flipped into a period of sustained and extreme inflation — ending the cycle roughly five times higher than where it began. 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 Marketing & Advertising in All countries available compared to the global benchmark.
CPP for Marketing & Advertising averaged about $99.5 over July 2025–June 2026, ranging from a low of ~$36.8 in August 2025 to a peak of ~$212.2 in June 2026. The series began at $39.3 in July 2025 and closed at $212.2 in June 2026 — a total increase of roughly $173, or about +440% from start to finish. Monthly highs clustered in late 2025 and early 2026: December ($132.6), February ($184.3) and March ($142.4) were all meaningfully elevated. The single largest jump was May→June 2026 (+248% month‑over‑month), producing the period’s maximum value.
By contrast the global baseline averaged ~$49.9 over the same months and moved in a much tighter band (roughly $43–$56), so the Marketing & Advertising CPP series was both larger in absolute terms and far more volatile.
Early summer months (July–September 2025) showed relatively modest CPPs ($39–$44), a softer opening compared with baseline. From October 2025 the trend accelerated: October registered a first above‑market point (~$57.9), followed by steep increases through December (holiday quarter) and then a pronounced spike in February 2026. Spring brought partial retracement (April–May), only for a dramatic breakout in June. Overall monthly movement was extreme: the average absolute month‑over‑month swing was about 52% — driven by concentrated spikes around Q4 and early Q1 and an outsized late‑cycle surge in June.
These rhythms contrast with more typical seasonal patterns seen in broader Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance, where baseline behavior usually reflects smaller Q4 bumps and Q1 normalization. Here the Marketing & Advertising CPP cycle amplified those moments into large swings.
Relative to the global benchmark, Marketing & Advertising CPP began the window ~20% below the global level (July–September), then crossed above in October and stayed elevated for the remainder of the year. On average this cohort’s CPP was roughly double the global median (~+100%), but the gap widened dramatically at times: at its narrowest it sat about 11% above baseline (October), and at its widest it exceeded baseline by nearly 394% (June). In volatility terms this market was far more volatile than the global series (average monthly movement ~52% vs. ~6% for the baseline).
Understanding Cost Per Purchase benchmarks for Marketing & Advertising across All countries available — alongside Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance and country-specific ad costs — helps frame how this industry’s ad economics diverged from broader industry ad performance over the 12‑month period.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Marketing & Advertising 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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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.
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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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