Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Marketplaces

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Marketplaces

August 2025 - August 2026

Insights

Detailed observation of presented data

Introduction

Marketplaces saw a lower and more erratic cost-per-purchase profile versus the global benchmark across the year. After a mid-summer dip, the Marketplaces median cost-per-purchase climbed into a sharp spring spike before retreating into June — a narrative of rises, drops and brief overshoots of the baseline. 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 Marketplaces in All countries available compared to the global benchmark.

The story in the data

Marketplaces began July 2025 at about $29.4 per purchase and finished June 2026 near $38.9 — a net increase of roughly 32% from start to finish. Across the 12 months the Marketplaces median was about $39.1, with a low near $23.5 in September 2025 and a peak of roughly $72.4 in May 2026. That peak represents nearly a threefold swing from the September trough.

Key monthly moves stand out: July→August rose ~44% (to $42.3), August→September plunged ~44% (to $23.5), and a large spring surge from February→March jumped ~64% (to $48.6), continuing through April (+24%) and May (+21%) before collapsing ~46% into June. Average month-to-month absolute change was about $12.9 — a pronounced level of churn for a single metric.

By contrast the global baseline hovered near $49.9 on average (range roughly $43.0–$56.0 across the same period), offering a steadier pattern.

Seasonal and monthly dynamics

The Marketplaces series shows clear rhythm: a softer late-summer/early-fall trough (September lows), intermittent winter softness (January), then a concentrated spring spike (March–May) that tops out in May and retracts sharply in June. The spring bump aligns with a pronounced pulse rather than a gradual seasonal lift — the change is front-loaded and volatile rather than smooth. Overall volatility is concentrated in isolated months (Sep, Mar–May, Jun) rather than evenly distributed.

Country vs. Global

Compared with the global benchmark, Marketplaces in All countries available ran materially below baseline for most of the year. The median cost-per-purchase was about 21.7% lower than the global average across the period. The gap varied: at its narrowest in March Marketplaces were roughly 13% below the global benchmark; at its widest in September they were about 56% below. Unusually, April and May flipped the script — Marketplaces rose to about 20% and 53% above the global median respectively — brief overshoots before retreating into June (about 10% below global again). Month-to-month volatility in Marketplaces (avg. ~$12.9) was roughly four times the baseline’s monthly movement (avg. ~$3.1), signaling a more turbulent cost environment.

Understanding Facebook Ads cost-per-purchase benchmarks for Marketplaces in All countries available helps teams contextualize seasonality, spikes and cross-market gaps when comparing CPM analysis, CPC trends and CTR performance against broader country-specific ad costs and industry ad performance.

Understanding the Data

Insights & analysis of Facebook advertising costs

Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the Marketplaces industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

Why we use median instead of average

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.