See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
November 2024 - November 2025
Detailed observation of presented data
New Zealand’s cost per purchase moved through a year of sharp contrasts: a late-summer surge, a sudden collapse into early spring, and a softer finish that undercut the strong start. Compared to the global benchmark, the market was more erratic—swinging from hefty premiums to steep discounts—yet landing slightly below the worldwide average over the period. 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 in New Zealand compared to the global benchmark.
Across November 2024 to October 2025, New Zealand’s median cost per purchase averaged 46.4, with a period median of 46.3. The market opened at 47.9 in November 2024 and closed at 28.8 in October 2025—down 40% from start to finish. The high arrived in August (75.8), while the low hit in February (23.5), creating a wide 52.3-point range.
Momentum shifted abruptly. After steady gains into January (63.8), February collapsed by 40.3 points, partially rebounding in March (37.7) and stabilizing through April (28.5) and May (44.7). A mid-year lift pushed into June (53.6) before a two-month spike to July (66.6) and August’s peak (75.8). September then reversed sharply to 31.9, with October edging lower to 28.8. Volatility averaged 15.8 points month over month—about 6.6x the global swing—driven by the August-to-September drop (−43.9) and the January-to-February pivot (−40.3).
Globally, the same months averaged 49.5 with a narrower 42.7–53.8 range and a modest lift from November to October (+6.5%), highlighting the relative choppiness in New Zealand.
This rhythm aligns with broader Facebook Ads benchmarks where costs often rise around peak retail moments, then reset; here, those arcs were amplified.
New Zealand ran above global levels in six months and below in six. The premiums were largest in August (+50% vs. global) and July (+42%); discounts were widest in February (−56%), April (−45%), and October (−37%). The narrowest gap appeared in December, when New Zealand sat just 8% above the global benchmark.
On averages, New Zealand (46.4) trailed the global 12‑month mean (49.5) and median (46.3 vs. 50.2), but with far greater month-to-month movement (average absolute change: 15.8 vs. 2.4 globally). In trend terms, the global line rose gently (+6.5%), while New Zealand’s path was choppier and ended lower (−40% from November to October).
Closing: Understanding Facebook Ads cost-per-purchase benchmarks for all industries in New Zealand—alongside global Facebook Ads benchmarks, CPC trends, CPM analysis, and CTR performance—helps quantify country-specific ad costs and compare industry ad performance to worldwide patterns.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting New Zealand, advertisers should consider local market factors and user behavior. 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.
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 might rise around Waitangi Day and ANZAC Day as public events increase media consumption. Matariki is new public holiday with growing awareness—advertising may see elevated competition. Late November–December Black Friday/Cyber Monday could drive ad costs significantly. Regional anniversary holidays may cause local inventory shifts.
It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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Average cost per purchase benchmarks across industries
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