Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Marketplaces in United States

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

Cost Per Purchase for Marketplaces in United States

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Marketplaces and target country United States compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • United States Marketplaces ran above market on average: $62.84 vs a global baseline of $47.82 (+31% higher).
  • Volatility in the selected data was very high (average month-to-month swing of about $50) compared to the steady global baseline (~$3.25).
  • Seasonal patterns show a December lift and elevated costs into January–February in both series; the selected data also shows an additional late-summer spike and a sharp September trough.

What the selected data shows

  • Average: $62.84 cost-per-purchase across the period.
  • High/low: Peak in August at $170.03; low in September at $5.48 (range of $164.55).
  • Start-to-end trend: From $34.33 in October to $5.48 in September, an 84% decrease across the window.
  • Volatility: Average absolute month-to-month change of $49.98, with multiple extreme swings.
  • Notable spikes/dips:
  • November dipped 47% vs October.
  • December rebounded to $39.78.
  • January–February surged to $72.05 and $139.25 respectively.
  • March corrected sharply to $49.24 (−65% vs February).
  • August spiked to $170.03 (+250% vs July).
  • September fell to the series low (−97% vs August).

Comparison to the global baseline

  • Baseline average: $47.82; high $53.89 (February), low $32.29 (September), range $21.60.
  • Baseline trend: From $46.67 in October to $32.29 in September (−31% across the period), with a modest December–February lift and gradual softening into late Q3.
  • Relative positioning:
  • The selected series was above market in 7 of 12 months (notably January–August except March).
  • Key over-market months: February ($139.25 vs $53.89 baseline) and August ($170.03 vs $45.69).
  • Under-market months: October, November, December, March, and September.
  • Volatility contrast: Selected data is markedly more erratic than the baseline (roughly 15× higher average monthly swing).

Seasonality and pattern read

  • Both datasets show a Q4-to-Q1 uplift: December is higher than November, and levels remain elevated through January–February.
  • The selected United States Marketplaces data adds a pronounced late-summer spike in August and an exceptional drop in September, while the baseline shows a smoother descent into September.

Bottom line for marketers

United States Marketplaces cost-per-purchase benchmarks were, on average, above the global baseline and substantially more volatile, with significant spikes in February and August and a pronounced drop in September. The global trend remained steadier, peaking modestly in winter and easing into late Q3. Understanding cost-per-purchase benchmarks on Facebook Ads in industry Marketplaces and United States helps advertisers make more efficient budget and creative choices.

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. For campaigns targeting United States, advertisers often face higher costs due to high competition and purchasing power. 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.

United States Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 20Martin Luther King Jr. Day
Feb 17Presidents' Day
May 26Memorial Day
Jun 19Juneteenth
Jul 4Independence Day
Sep 1Labor Day
Oct 13Columbus Day
Nov 11Veterans Day
Nov 27Thanksgiving Day
Dec 25Christmas Day

Key Shopping Season

Late November (Thanksgiving & Black Friday weekend), December (Christmas), Back-to-school (July–September), Summer travel season (Memorial Day onwards)

Potential Advertising Impact

CPM and CPC might rise around major holidays like Memorial Day, Independence Day, and Labor Day, especially in travel and entertainment. Black Friday/Thanksgiving weekend triggers massive spikes in retail ad competition. December ad demand typically peaks—retail campaigns require significantly higher budgets. Back-to-school promotions drive increased competition. Juneteenth may see regional engagement rise.

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.