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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

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Retail’s cost per purchase (CPP) across all countries ran consistently below the global cross‑industry benchmark in 2025 and trended downward through the year. The category started elevated in January, lifted briefly in October, then fell sharply into year‑end — a two‑stage slide that widened the gap versus the market. Volatility was also higher than the global average, with a particularly pronounced reset in November and December.

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 CPP averaged $35.75 in 2025, ranging from a high of $41.48 in January to a low of $26.14 in December — a $15.34 spread, roughly 43% of the annual average. The year opened at $41.48, eased through mid‑year, briefly rebounded to $39.00 in October, then fell to $29.12 in November and $26.14 in December. From January to December, Retail’s CPP compressed 37%.

Monthly rhythm showed modest back‑and‑forth early on: February dipped to $37.45 (−10% vs. January), March lifted to $38.72, and April edged higher to $39.70. A steadier decline followed into June ($33.91), with small summer recoveries in July ($35.33) and August ($36.45). The sharpest single‑month move was October to November, a $9.87 drop (−25%), followed by a further −10% in December. Five of the final seven months landed at or below $36, underscoring a second‑half slide.

By contrast, the global benchmark averaged $51.40, with a narrower range: $54.80 at the high (February) to $45.08 at the low (December), a $9.72 spread (19% of its average). The market declined 15% from January to December — a milder descent than Retail’s.

Volatility highlights the difference: Retail’s median CPP shifted by an average of $3.03 month‑to‑month, versus $1.77 for the global benchmark. The step‑down in Q4 was the major source of Retail’s higher swing.

Seasonal and monthly dynamics

Quarter by quarter, Retail stair‑stepped lower: Q1 averaged $39.22, Q2 $36.84, Q3 $35.53, and Q4 $31.42. October was an outlier pop before the category’s two‑month trough into year‑end. This contrasts with the broader market, which was relatively steady from Q2 to Q3 before softening in Q4 (Q4 global average: $48.30).

While country‑specific ad costs can vary, this all‑countries view shows a Retail pattern that softened progressively through 2025, with the most pronounced contraction concentrated in November and December.

Country vs. Global

Retail’s CPP sat below market every month, by 22% to 42%. The gap was narrowest in January (−22%) and widest in December (−42%), widening notably in Q4 as Retail fell faster than the benchmark. On a quarterly basis, Retail’s Q4 average ($31.42) trailed the global $48.30 by roughly 35%. For the full year, Retail averaged about 30% below the global cross‑industry CPP.

The global trend eased gradually (−15% from January to December), while Retail’s trajectory was steeper and more volatile (−37%), with a choppier mid‑year and a decisive two‑month drop at the finish.

Closing

Within Facebook Ads benchmarks, cost‑per‑purchase for Retail across all countries shows a clear 2025 descent, more volatile and consistently below the global average. Understanding cost per purchase benchmarks for the Retail industry across all countries helps advertisers gauge purchase efficiency and compare performance to global patterns alongside broader CPC trends, CPM analysis, and CTR 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 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.