Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks in New Zealand

See how your CTR stacks up. Explore industry, regional, and campaign-type benchmarks with Superads.

CTR (Click Through Rate) in New Zealand

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at click-through-rate trends for industry All industries available and target country New Zealand compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • The selected trend averages 2.02% CTR, sitting above the global baseline at 1.81% (+11.8% relative).
  • Strong late-year upswing: CTR rises from 1.64% in Oct 2024 to 3.12% in Sep 2025 (+89.8%), with the year’s high in September and the low in December.
  • Volatility is elevated: average month-to-month change is 0.36 percentage points, around 7x the global baseline’s 0.05 percentage points.
  • Seasonal pattern: a pronounced dip in December, a rebound through Q1–Q2, a sharp pullback in May, then a sustained surge into late Q3.

Selected trend overview

For All industries available in New Zealand, monthly median click-through-rate ranged from a low of 1.39% (Dec 2024) to a high of 3.12% (Sep 2025), averaging 2.02% across the period.

  • Start vs. finish: 1.64% (Oct 2024) to 3.12% (Sep 2025), an +89.8% gain or +1.47 percentage points.
  • Notable spikes:
  • Apr 2025 up to 2.54% (+0.49 pp from Mar).
  • Jul 2025 jumped to 2.26% (+0.70 pp from Jun).
  • Aug 2025 climbed to 3.00% (+0.74 pp from Jul).
  • Sharpest dip: May 2025 fell to 1.55% from April’s 2.54% (-0.99 pp, about -39% month-over-month).

Overall, the path features a December trough, a Q1–Q2 recovery, a May setback, and a strong rally into late Q3.

Comparison to the global baseline

The global baseline progressed steadily from 1.76% (Oct 2024) to 2.12% (Sep 2025), a +20.1% rise, with an average of 1.81%, a high in September (2.12%), and a low in February (1.67%). Compared with this:

  • Level: New Zealand sits above market on average by +0.21 pp (+11.8%).
  • Months above/below: New Zealand exceeded the global CTR in 6 of 12 months—mostly from February onward and strongly in Jul–Sep. It trailed the baseline in Oct–Jan and again in May–Jun.
  • Volatility: New Zealand shows much higher variability (avg absolute MoM change 0.36 pp) than the global trend (0.05 pp). The largest global MoM move was +0.12 pp (Aug), underscoring how smooth the global curve is versus New Zealand’s sharper swings.

Seasonality and volatility

  • Seasonal lows: December marks the selected series’ bottom (1.39%), while the global series is softest in February (1.67%).
  • Late Q3 lift: Both series strengthen into late Q3/early Q4, with New Zealand accelerating more aggressively (Aug–Sep at 3.00–3.12%) than the baseline (2.02–2.12%).
  • Variability: The selected series’ wider range (1.39%–3.12%) versus the global range (1.67%–2.12%) reflects more pronounced swings month to month.

Benchmarks snapshot

  • Selected average: 2.02% | High: 3.12% (Sep) | Low: 1.39% (Dec) | First-to-last: +89.8%
  • Global average: 1.81% | High: 2.12% (Sep) | Low: 1.67% (Feb) | First-to-last: +20.1%
  • Volatility (avg absolute MoM change): 0.36 pp vs. 0.05 pp globally

Understanding click-through-rate benchmarks on Facebook Ads in industry All industries available and New Zealand helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Click-Through Rate (CTR) is the percentage of impressions that resulted in a click on the Facebook ad. 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. 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. 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.

New Zealand Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 2Day after New Year's Day
Feb 6Waitangi Day
Apr 18Good Friday
Apr 21Easter Monday
Apr 25ANZAC Day
Jun 2King's Birthday
Jun 20Matariki
Oct 27Labour Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

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)

Potential Advertising Impact

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.

What is CTR and why does it matter for Facebook ads?

CTR (Click-Through Rate) is the percentage of people who click your ad after seeing it. It's calculated by dividing total clicks by total impressions, then multiplying by 100. A high CTR indicates your ad resonates with your audience and helps improve your relevance score, which can lower your overall costs.

What's the average CTR for Facebook ads in 2025?

The average Facebook ad CTR across industries sits around 0.90-1.10%. But there's significant variation. Your specific industry, audience targeting, and campaign objectives should determine your benchmark.

Why is my Facebook ad CTR consistently low?

Low CTR usually stems from poor audience targeting, weak creative, or a disconnect between your ad content and audience needs. Your ad might simply not be standingo out enough. Check if your visuals grab attention, your copy addresses clear pain points, and your audience targeting aligns with people genuinely interested in your offer.

Is CTR still a reliable metric for ad performance in 2025?

Yes—but only in context. High CTR is a signal that your creative works, but it doesn't guarantee conversions. Use it alongside other metrics like conversion rate to get the full picture.