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Facebook Ads Cost Per Purchase Benchmarks for Nonprofit

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Cost Per Purchase for Nonprofit

November 2024 - November 2025

Insights

Detailed observation of presented data

Nonprofit Cost Per Purchase: steady value, mid‑year lift, and a classic July reset

Nonprofit Cost Per Purchase (CPP) stayed well below the global all‑industry benchmark throughout the period, yet followed a recognizable performance rhythm: a lift into late spring, a sharp July reset, then a measured rebound before easing into October. Across all countries, nonprofit CPP averaged $27.26 versus the global $49.33, putting the sector roughly 45% below market on typical months. Volatility was moderate and broadly in line with the market, though nonprofits saw a sharper single‑month swing mid‑summer.

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 Nonprofit in all countries compared to the global benchmark.

The story in the data

Nonprofit CPP opened at $24.08 in November 2024 and closed at $25.04 in October 2025, a modest 4% rise end‑to‑end. The year’s high landed in May at $31.39, with June close behind at $30.38. The low was November’s $24.08, and the annual spread measured $7.31—about 27% of the sector’s average.

Momentum clustered around a few notable moves. December jumped $3.84 from November, and May posted the largest single‑month increase at +$4.19. The sharpest drops came in July (−$5.40 from June) and October (−$4.52 from September). Month‑to‑month absolute changes averaged $2.64, essentially matching the global benchmark’s $2.58.

By contrast, the all‑industry global benchmark averaged $49.33. It started at $42.61 in November and finished at $43.33 in October (+1.7%). Global CPP peaked earlier—February at $53.84—then eased into mid‑year, with a brief August rebound.

Seasonal and monthly dynamics

Seasonality showed a familiar cadence:

  • Late Q4 into Q1: Nonprofit CPP firmed from November’s trough into December and held steady through February–March, mirroring elevated year‑end competition in the broader market though at substantially lower levels.
  • Q2 strength: The sector climbed into its annual high in May–June (about 30% above November), marking the strongest stretch of the year.
  • Q3 reset and rebuild: July produced the clearest pullback, followed by an August–September rebound that recaptured much of the mid‑year level.
  • Early Q4 softening: October eased again, consistent with pre‑holiday recalibration before the typical late‑Q4 intensity.

Nonprofit vs. global benchmark

Nonprofit CPP remained below market every month by 36–52%. The gap was widest in January–February (about 51–52% lower than global) and narrowest mid‑year—June (37% lower) and May (39% lower)—when nonprofit costs were relatively firm while the global average drifted down. In dollar terms, the average monthly gap was roughly $22, tightening to ~$18 in June and widening to ~$26–$28 in Q1. While the global series rose into February and then eased, nonprofits climbed later, peaking in late spring and correcting more abruptly in July—similar overall volatility, different timing.

Understanding Facebook Ads benchmarks for Cost Per Purchase in the Nonprofit industry across all countries highlights how sector economics diverge from all‑industry levels: consistently lower country‑specific ad costs, a mid‑year peak, and a predictable July reset, all measurable against the global trend.

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 Nonprofit 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.