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Facebook Ads Cost Per Lead Benchmarks for Consulting

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Cost Per Lead for Consulting

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

Consulting lead generation ran markedly cheaper than the market this year, with Cost Per Lead (CPL) staying well below the global Facebook Ads benchmarks while showing a distinct mid‑summer surge and a late‑year cooldown. The series held a steady cadence through winter and spring, spiked in July, then slid to the annual low by October—more volatile than the broader benchmark and marked by sharper month‑to‑month swings.

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 Consulting across all countries compared to the global benchmark.

The story in the data

Across all countries, Consulting CPL averaged about $28 over the period, ranging from a low of $23.64 in October to a high of $39.09 in July. The series opened at $24.67 in November 2024 and closed at $23.64 in October 2025, a modest 4% decline end‑to‑end. Spring stayed compact: January–April clustered between $25 and $28. The standout movement arrived mid‑year—June to July jumped by $11.42, the largest single‑month lift in the set—followed by an $8.39 pullback in August and a continued easing into October.

Month‑to‑month volatility averaged $3.81, and the full range spanned $15.45, roughly 55% of the series mean—signaling choppier dynamics than a smooth, seasonal drift. July’s $39.09 towered about 40% above the average, while October sat ~16% below it, framing a year defined by a mid‑summer price shock and a Q3–Q4 comedown.

Seasonal and monthly dynamics

Seasonality showed a familiar winter softness: January–March averaged roughly $26. Q2 kept a narrow band near $27, suggesting stable efficiency before pressure mounted. The inflection point was July, when CPLs jumped to the annual high. Rather than holding into late Q3 and Q4, Consulting costs cooled: August stepped down, September softened again, and October reached the low for the year—an atypical shape compared with the broader market’s Q3–Q4 inflation.

Country vs. Global

Against the global benchmark (all industries), Consulting across all countries was consistently cheaper: $28 vs. a $40.94 global average—about 32% below market levels. The global trend dipped to a March low of $33.35, then climbed steadily to a September peak of $48.29 before easing to $45.08 in October. By contrast, Consulting’s peak came earlier (July) and unwound quickly into fall.

The gap varied through the year. At its closest, July’s Consulting CPL was only 8% below the global level; in March it was 16% below. The spread widened notably in Q4: October’s Consulting CPL was 48% under the benchmark. On volatility, Consulting moved more per month on average ($3.81) than the market ($3.22), underscoring sharper swings around the July spike and subsequent retreat.

Closing

Understanding Facebook Ads Cost Per Lead benchmarks for the Consulting industry across all countries highlights a year of below‑market CPLs, a pronounced July surge, and a late‑year cooldown—distinct from the global benchmark’s steady climb into September. These CPL trends complement broader CPM analysis and CTR performance views, helping situate industry ad performance and country‑specific ad costs within a global context.

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 Consulting 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.