Compare lead generation cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
The main story: New Zealand’s cost-per-lead (CPL) ran persistently below the global benchmark but moved with sharper, less predictable swings. Across July 2025–June 2026 the New Zealand series averaged roughly $37.7 per lead versus a global median of about $46.0 — roughly an 18% discount on the baseline — yet monthly volatility in New Zealand was roughly double the global rhythm. 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 All industries available in New Zealand compared to the global benchmark.
New Zealand CPL started the window at $38.90 in July 2025 and finished at $34.74 in June 2026, a modest decline of about 10.7% from start to finish. Over the year New Zealand hit a high of $55.31 in August 2025 and a low of $24.80 in May 2026 — a raw swing of ~$30.5. The 12-month average for New Zealand was ~$37.7; the global median across the same months was ~$46.0. Monthly volatility (sample standard deviation) in New Zealand was ~ $8.0 (≈21% of the mean), compared with ~ $4.4 (≈9.5% of the mean) for the global benchmark — showing materially sharper swings in the New Zealand market.
Key moves: an abrupt spike in August 2025 to $55.3, a rebound into autumn with October at $45.3, a November dip to $28.6, a Q1 rise into February ($42.0), and a pronounced trough in May 2026 at $24.8. Overall the series reads as choppy: several short-lived peaks and troughs layered on a slightly downward trajectory across the year.
Seasonality shows distinct pulses rather than a smooth seasonal curve. Late winter / early spring (Feb–Mar 2026) registered a lift relative to surrounding months, mirroring the global mid‑Q1 uptick where the baseline peaked in February. Conversely, May 2026 was notably soft in New Zealand, producing the lowest CPL of the period. Q4 displayed mixed behavior: October rose, November dipped sharply, and December recovered toward the average — suggesting episodic competition and demand swings rather than a textbook, calendar-driven pattern.
Relative performance: on average New Zealand ran about 18% below the global CPLs across the period. The gap was not constant: at its narrowest in June 2026 New Zealand was only ~6% below the global median (NZ $34.74 vs baseline $37.07). At its widest in May 2026 New Zealand trailed by roughly 45% (NZ $24.80 vs baseline $45.13). Other notable gaps: November 2025 (~40% below baseline) and February 2026 (roughly 40% below during a strong global peak). In volatility terms New Zealand was more than twice as volatile as the global benchmark, producing bigger month‑to‑month swings even as the mean CPL stayed lower.
Understanding Facebook Ads cost-per-lead benchmarks for all industries in New Zealand provides a clear view of how country-specific ad costs and industry ad performance can diverge from global CPM analysis and CPC trends, offering context for CPL and broader Facebook Ads benchmarks and CTR performance conversations across the New Zealand market.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting New Zealand, advertisers should consider local market factors and user behavior. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
Analyze Facebook ad performance
See which ads, audiences, and creatives drive results.
Spot creative patterns that affect ROAS.
Create reports without spreadsheets.
The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
Late November–early December (Black Friday/Cyber Monday), Christmas season (Boxing Day sales), Mid‑year promotions (Matariki in June), Back-to-school (late January/early February)
CPM and CPC may rise around Waitangi Day and ANZAC Day as public events increase media consumption. Matariki is a new public holiday with growing awareness, and advertising may face more competition. Black Friday/Cyber Monday in late November–December may raise ad costs. Regional anniversary holidays may shift local inventory.
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.
Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.
Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.
Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.
For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.
Compare cost benchmarks for Facebook advertising metrics.
Cost per click benchmarks across industries
Cost per thousand impressions across markets
Click-through rate benchmarks for Facebook Ads
Cost per lead benchmarks across markets
Cost per purchase benchmarks across industries
App install cost benchmarks