Facebook Ads Insights Tool

Facebook Ads Cost Per Lead Benchmarks for Design

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

Cost Per Lead for Design

January 2025 - January 2026

Insights

Detailed observation of presented data

Introduction

The Design industry’s Facebook Ads cost-per-lead ran extraordinarily high for most of the year across all countries, then collapsed in Q4 — a striking contrast to the steadier global benchmark. From a lofty peak in April to single-digit CPLs in October and November, the pattern is marked by sharp swings and an abrupt late-year trough. 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 Design across all countries compared to the global benchmark.

The story in the data

Across all countries, Design’s median CPL averaged about 268 over the past 12 months, starting at 213 in December 2024 and landing at 10.6 by November 2025 — a 95% decline from start to finish. The high arrived in April at 528, while the low hit in October at just 7.23. The spread between peak and trough reached 521 points, underscoring unusually wide dispersion.

Momentum was choppy. From December to April, CPLs surged from 213 to 528 (+148%), including a near-doubling into January (+98%) and continued lifts in March (+29%) and April (+15%). May broke the run with a −49% reset, and the summer softened further: July and August averaged around 146. September briefly re-accelerated to 291 (+108% vs. August), before the market dropped to single digits in October (−98% vs. September) and edged up modestly in November (+47% vs. October).

Volatility was acute. The average absolute month-to-month move was roughly 132 points — a level that dwarfs the global benchmark’s average monthly shift of about 3.1. In other words, Design CPLs moved more than forty times as much in absolute terms as the global series.

Seasonal and monthly dynamics

Seasonality skewed high in Q1 and early Q2, with January–April averaging about 442 — more than triple the July–August average (~146). After the May reset, summer stabilized at lower levels before a September bump, and then the series broke pattern with an extraordinary Q4 collapse. By contrast, global CPLs followed a familiar rhythm: a softer Q1 (around 36), steady firmness through summer (around 42), and a mild elevation into early Q4.

Country vs. Global

Relative to the global benchmark, Design’s CPL across all countries sat far above market for most of the year. The average of 268 was roughly 6.6x higher than the global average of about 40.7 (+560%). The gap was widest in the spring: April’s 528 was about 14.3x the global 37.0. Even midyear, Design CPLs remained elevated: July and August came in 3.3x–3.8x above global levels.

The relationship flipped dramatically in Q4. In October and November, Design CPLs fell below the global benchmark for the only time in the year, running approximately 85% lower in October (7.23 vs. 48.4) and 77% lower in November (10.6 vs. 45.8). While the global trend climbed gradually from January to October (roughly +39%), the Design series was markedly more erratic, with sharp surges, resets, and a pronounced late-year trough.

Closing

Taken together, these Facebook Ads benchmarks show extreme CPL volatility for the Design industry across all countries: a high-cost, high-variance first half; a softer summer; a brief September lift; and an unprecedented Q4 drop below global levels. Understanding cost-per-lead trends for Design across all countries helps advertisers evaluate country-specific ad costs, compare industry ad performance, and contextualize CPL movement against the global Facebook Ads 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 Design 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.