See how your CPL compares. Explore lead generation cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
Across all countries, Facebook Ads cost-per-lead (CPL) for the Consulting industry ran lean for most of the year and then surged dramatically at the end. Consulting’s CPL averaged $30.67 from November 2024 to November 2025, tracking well below the global all‑industry benchmark average of $39.83, before a sharp November 2025 spike flipped the script. The year’s rhythm shows steady, affordable lead costs through midyear, a brief midsummer lift, an October trough, and a striking November reversal that diverged from the broader 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 Consulting across all countries compared to the global benchmark.
Consulting CPL opened at $24.78 in November 2024 and closed at $60.30 in November 2025—up 143% from start to finish. The period’s low was $23.93 in October 2025, while the high landed at $60.30 in November. The average sat at $30.67, with notable waypoints including a mild December elevation ($30.58), a steady Q1 near $25–$28, a midsummer peak in July ($39.61), and a reset into October before the year’s big swing.
Month-to-month movement averaged 6.66 points, signaling above‑average choppiness. However, that volatility was concentrated in one outlier: the +36.37 jump from October to November 2025. Excluding that surge, Consulting’s average monthly change was a calmer 3.95 points, slightly steadier than the global benchmark’s 4.23 (and the benchmark itself was 3.12 excluding its own November drop).
Seasonally, Consulting showed a restrained Q1, with January–February hovering around $25 and a gentle lift into March ($27.99). Q2 built incrementally ($26.87 → $28.62), suggesting a controlled climb rather than a spike. Q3 introduced a short-lived inflation in July ($39.61) before easing in August–September ($30.70 → $27.47). Q4 was the most dramatic: October marked the year’s low ($23.93), followed by the year’s high in November ($60.30).
By contrast, the global benchmark crested later: after a steady climb into late summer, the all‑industry CPL peaked in September 2025 at $47.62, then cooled through October ($45.08) and fell sharply in November ($28.58). The divergence is clear—Consulting’s CPL spiked when the broader market fell.
Across 13 months, Consulting CPL stayed below the global benchmark in 12 of them, averaging 23% lower than the market ($30.67 vs. $39.83). The monthly discount ranged from a narrow gap in July (about 6% below market) to a wide October spread (roughly 47% below). September also showed a substantial gap (about 42% below global). The outlier came in November 2025, when Consulting CPL ran more than double the global benchmark (+111%), the only month above market.
Trendwise, the global all‑industry CPL declined from $41.51 in November 2024 to $28.58 in November 2025 (−31%), while Consulting rose sharply over the same span (+143%). Consulting’s range ($23.93–$60.30) was wider than the global spread ($28.58–$47.62), reflecting a generally economical year punctuated by a late-year shock.
In sum, Facebook Ads benchmarks for cost per lead show Consulting across all countries running consistently below global ad costs for most of the year, then breaking pattern with a sharp November escalation. Understanding CPL trends for the Consulting industry globally helps teams benchmark country-specific ad costs against broader Facebook Ads benchmarks and compare Consulting’s industry ad performance to global patterns.
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.
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.
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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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.
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.
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.
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.
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.
If your goal is sales or revenue, optimizing for deeper funnel conversions is better. Optimizing for leads alone can inflate volume but hurt quality.
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