Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Retail

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

Cost Per Purchase for Retail

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Retail’s cost per purchase stayed consistently cheaper than the market all year, with a clear seasonal arc: a gentle lift into December, a sharp January peak, then a steady ease through mid‑year before stabilizing and ticking up again in October. Across all countries, Retail maintained a sizable cost advantage versus the global Facebook Ads benchmarks, with narrower gaps late in the period. Volatility was moderate, with fewer sharp swings than the global composite, and standout moments clustered around the turn of the year.

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 Retail across all countries compared to the global benchmark.

The story in the data

Retail cost per purchase averaged $36.67 across the period, beginning at $33.30 in November 2024 and ending at $37.10 in October 2025. The high came in January at $41.38; the low sat in November at $33.30 (June was close at $33.48). That sets a $8.08 range—tighter than the broader market.

Month to month, the sharpest move was December to January, when CPP jumped by $6.89 (+20%), followed by a swift correction in February (−$3.75, −9%). The late‑spring reset saw another notable drop from May to June (−$3.38, −9%). After June’s trough, CPP hovered in a narrower band through Q3, then lifted into October (+$2.03, +6% from September).

Volatility averaged $2.41 in absolute monthly change, pointing to steadier month‑over‑month rhythm than the global benchmark. Quarterly pacing underscored the arc: Q1 averaged $39.27, Q2 dipped to $36.66, Q3 settled at $35.77, and October suggested a firmer Q4 start at $37.10.

Seasonal and monthly dynamics

Seasonality showed up cleanly for Retail across all countries:

  • Late Q4 (Nov–Dec) was relatively soft (avg ~$33.89), with a pronounced spike in January as conversion costs climbed to the yearly high.
  • From January’s peak, CPP eased through early summer, reaching its mid‑year floor in June.
  • Q3 was a holding pattern, with CPP clustered between $35–$37, signaling stable conversion pricing.
  • October reopened Q4 with a modest uptick, consistent with tightening competition and higher conversion costs heading into year‑end.

This rhythm mirrors familiar patterns in industry ad performance: heightened purchase costs at the turn of the year, mid‑year relief, and renewed pressure into the holiday build.

Country vs. Global

Relative to the global benchmark across all industries, Retail across all countries was consistently below market. Retail’s average CPP of $36.67 trailed the global average of $49.33 by about 26%. The gap was widest in December (−31%) and tightest in October (−14%), a dollar spread that ranged from −$16.20 (February) to −$6.23 (October). In every month, Retail remained below the global CPP.

Trend lines differed as well. The global series rose to a February high of $53.84 and carried a broader $11.23 range, with average monthly volatility of $2.58—slightly choppier than Retail’s $2.41. Over the full window, Retail climbed 12% from November to October, while the global composite gained a modest 2%, reflecting a narrowing late‑year gap as market costs cooled faster than Retail’s.

Closing

Understanding Facebook Ads benchmarks for cost per purchase in Retail across all countries shows a clear pattern: consistently below the global market, a January peak, mid‑year relief, and a measured Q4 lift. These CPP trends help frame country‑specific ad costs within a global context and connect to broader CPC trends, CPM analysis, and CTR performance signals for industry ad performance in Retail worldwide.

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 Retail 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.