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Facebook Ads Cost Per Purchase Benchmarks for Software Development

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Cost Per Purchase for Software Development

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Software Development shows a very different Cost Per Purchase (CPP) profile than the overall market: markedly cheaper for most of the year, faster rising through the summer, and notably more volatile. The year opens with unusually low CPP in November–December, lifts steadily into a September peak, then cools sharply in October. Across all countries, this industry’s purchase costs mostly sit below the global benchmark, with a single late-year month briefly running above market.

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 Software Development across all countries compared to the global benchmark.

The story in the data

  • Starting point to finish: Software Development CPP moved from $12.19 in November 2024 to $32.90 in October 2025—up roughly 170% from its unusually low starting base.
  • Highs and lows: The low was that razor-thin $12.19 in November; the high arrived in September at $59.47. The full-year average landed at $34.13.
  • Key moves: The first big swing came early—CPP more than doubled from November to December (+106%), dipped in January (−8%), then climbed through February–March. Q2 was mixed, with a soft April–May and a June rebound. Q3 accelerated: +23% July to August, then another +22% into September’s peak. October brought the sharpest single-month correction (−45%).
  • Volatility: Absolute month-to-month moves averaged $7.78, about 23% of the industry’s mean CPP—roughly three times the global benchmark’s $2.58 average swing.

Seasonal and monthly dynamics

The pattern traces a long build toward late Q3. After the December spike off a very low November, CPP eased in January and stabilized through early spring. Q2 showed a shallow trough before momentum gathered: prices firmed in June, pushed higher in July–August, and culminated in a September high. The initial October reading marked a significant cooldown. In contrast, the global benchmark featured steadier costs: elevated in late Q4 2024, a mild rise into early Q1, and relatively contained movements across summer before easing into October.

While CPC trends, CPM analysis, and CTR performance often shape the pathway to purchases, this view isolates the Facebook Ads benchmarks for Cost Per Purchase to capture conversion-cost pressure specifically.

Country vs. Global

Relative to the global benchmark, Software Development CPP averaged $34.13 versus $49.33—about 31% lower across the period. The industry stayed below market for most months: −71% in November, −50% in December, −40% to −16% through spring and early summer, narrowing to just −3% in August. The gap flipped in September, when Software Development ran 21% above the global CPP, before falling back to −24% in October. Trend shapes diverged: the global series was comparatively steady (roughly +2% from November to October), while Software Development advanced rapidly into Q3 and then corrected, with materially higher volatility.

Closing

Understanding Facebook Ads benchmarks for Cost Per Purchase in Software Development across all countries reveals a year defined by below-market costs, a Q3 surge, and a sharp October reset. This industry ad performance view provides a clear CPP baseline to compare against broader market dynamics and country-specific ad costs, complementing adjacent signals like CPC trends, CTR performance, and CPM analysis.

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 Software Development 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.