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Facebook Ads Cost Per Lead Benchmarks for Software Development

See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type

Cost Per Lead for Software Development

August 2025 - August 2026

Insights

Detailed observation of presented data

Introduction

The main story: cost-per-lead (CPL) for Software Development across all countries available was far more volatile than the global benchmark, punctuated by extreme troughs in late 2025 and sharp spikes in Oct 2025 and spring 2026. Overall levels averaged materially above the baseline, but the month-to-month rhythm swung between single‑digit CPLs and a five‑hundred dollar outlier. 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 in All countries available compared to the global benchmark.

The story in the data

Across the 12‑month window (Jul 2025–Jun 2026) Software Development CPLs averaged about $95.3, ranging from a low near $1.47 in January 2026 to a high of $517.49 in October 2025. By comparison the global baseline median for the same period averaged roughly $46.0 — so the selected market ran around 107% above the benchmark on average. The series began at $72.17 in July 2025 (about 69% above the baseline July value of $42.79) and closed June 2026 at $47.0 (about 27% above the baseline June $37.07).

Notable monthly moves: a sudden lift to $517.49 in October 2025, followed by a steep decline to $11.55 in November and into single digits through January–February (Dec $2.86, Jan $1.47, Feb $3.50). A pronounced rebound appears in March–May 2026 (Mar $136.79, Apr $141.66, May $130.91) before moderating to $47.0 in June. Seven months were above the baseline and five months fell below, but the outsized spikes and troughs drive the narrative.

Seasonal and monthly dynamics

The rhythm here is jagged rather than smoothly seasonal. Late‑year and early‑year months showed a sharp trough (Nov–Feb) with three consecutive months under $12, then an abrupt rebound in spring. The March–May cluster resembles a strong seasonal lift, with CPLs roughly 2.5–3.5x the baseline in those months. October 2025 is an outlier spike that dwarfs typical monthly ranges. By contrast, the global benchmark displays a steadier seasonal pattern with monthly medians moving in the $37–$53 band and smaller month‑to‑month variation.

Country vs. Global

Relative to the global baseline, Software Development CPLs in All countries available were more volatile and generally higher. Average monthly absolute change for the selected series was about $117 — roughly 32 times the baseline’s average month‑to‑month absolute change (~$3.6). At its narrowest gap (June 2026) the selected CPL was about 27% above the global level; at its widest gap (October 2025) it was more than 10x the baseline. The series alternated between months well below global medians (Dec–Feb) and months substantially above (Oct, Mar–May), producing a choppier signal than the baseline.

Understanding Cost Per Lead benchmarks for Software Development across all countries available — and how they diverge from the global median — offers a data‑grounded view of industry ad performance, Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance context, and broader country‑specific ad costs dynamics.

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 is considered a good cost per lead on Facebook in 2025?

A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.

Why is my CPL higher than industry averages?

Your CPL could be high due to weak creative, irrelevant targeting, or an offer that doesn't resonate. Low engagement or poor conversion rates on your landing page can also drive up costs.

Does campaign objective impact CPL?

Yes. Campaigns optimized for conversions or leads tend to generate cheaper and more qualified leads compared to traffic or engagement objectives. Facebook needs clear signals to find the right users.

How can I generate leads at a lower cost without hurting lead quality?

Focus on improving your offer, targeting the right audience, and using high-converting creative. Test native lead forms, but make sure you're still qualifying users properly.

Should I optimize for leads or conversions if my goal is pipeline growth?

If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.