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Facebook Ads Cost Per Purchase Benchmarks for Finance

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Cost Per Purchase for Finance

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

Finance advertisers ran well below the global benchmark on Cost Per Purchase for most of the year, then spiked dramatically in December. Through November, Finance across all countries hovered in the low-to-mid $20s—consistently cheaper than the market—before leaping to $82 in December, the only month it sat above the global median. The rhythm looks like two acts: a low-cost first half, a step-up beginning in August, and a year-end surge. Volatility was modest until that December breakaway.

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 Finance across all countries compared to the global benchmark.

The story in the data

  • Starting point to ending point: Finance CPP opened 2025 at $14.45 and closed at $82.13—up 469% from January.
  • Highs and lows: The low was January ($14.45). The high was December ($82.13).
  • Average levels: In 2025, Finance CPP averaged $27.64; excluding December, the Jan–Nov average was $22.69.
  • Month-by-month momentum: After a low-cost start (Jan–Jun averaging $18.4), costs lifted in July ($21.11) and reset higher in August ($30.27). That late-summer step-change held through September ($30.50), softened slightly in October ($28.95) and November ($28.23), then broke pattern with a December spike to $82.13.
  • Volatility: Average month-to-month movement was $7.52, largely driven by December. Excluding December, volatility was a steadier $2.88—still more movement than the global benchmark.

For context, the global benchmark across all industries averaged $50.68 in 2025, with a narrower range (roughly $45–$55) and lower month-to-month volatility (~$1.72).

Seasonal and monthly dynamics

Seasonally, Finance CPP was soft in Q1, stable-to-lower in Q2, then reset higher from August onward. Q2 averaged $18.47; Q3 rose to $27.29; Q4 climbed to $46.44, driven by December. The mid-year shift in August marked a new plateau around $29–$31 that persisted through November. December deviated sharply from this plateau, consistent with the broader tendency for year-end competition to lift acquisition costs, even as global medians softened late in the year.

Country vs. Global

Finance across all countries ran below market from January through November, then flipped above market in December:

  • Average comparison: $27.64 for Finance vs. $50.68 globally in 2025 (Finance 45% cheaper on average).
  • Gap through the year: January sat 73% below the global CPP (Finance $14.45 vs. global $53.13). The gap narrowed in August–September to about 41–42% below market.
  • December reversal: Finance jumped to $82.13 while the global benchmark eased to $45.02—placing Finance 82% above global in the final month.
  • Trend lines: Global CPP slid 15% from January to December, while Finance rose 469%. Finance also displayed greater volatility, particularly into year-end.

Closing

These Facebook Ads benchmarks highlight Cost Per Purchase dynamics for the Finance industry across all countries: a low-cost first half, a late-summer reset, and an exceptional year-end surge versus a softening global backdrop. Understanding Cost Per Purchase trends for Finance across all countries helps contextualize country-specific ad costs within broader CPC trends, CPM analysis, and CTR performance conversations while comparing industry ad performance to the global benchmark.

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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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.