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Facebook Ads CTR Benchmarks for Legal in New Zealand

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CTR (Click Through Rate) for Legal 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 Legal and target country New Zealand compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No valid monthly observations were available for the selected Legal and New Zealand segment in the provided period, so the global baseline serves as the primary benchmark.
  • Globally, click-through-rate trended upward over the year: average 1.81%, rising from 1.76% in Oct 2024 to 2.12% in Sep 2025 (+20.1%).
  • Seasonal pattern: softer performance from late Q4 into early Q1, then a steady recovery and a pronounced lift through mid-to-late Q3.
  • Volatility was moderate, with an average month-to-month move of about 0.05 percentage points, and the biggest single-month increase occurring in August.

Scope and dataset

  • Metric: click-through-rate (median, monthly).
  • Industry: Legal.
  • Country: New Zealand.
  • Baseline: global trend across all industries and countries for reference.

Global baseline click-through-rate trend

  • Overall level: The 12‑month global average click-through-rate was 1.81%.
  • Highs and lows:
  • Peak: 2.12% in Sep 2025.
  • Low: 1.67% in Feb 2025.
  • Trend from first to last month: 1.76% (Oct 2024) to 2.12% (Sep 2025), a +20.1% increase.
  • Notable movements:
  • Softening late in the year: Nov and Dec declined to 1.74% and 1.69% (Dec’s −2.8% vs. Nov was the largest monthly drop).
  • Early-year trough: February was the low point at 1.67%.
  • Sustained climb from March onward: consecutive gains through June–September, including the strongest jump in August (+0.12 percentage points, +6.3% vs. July).
  • Volatility: Average absolute month-to-month change was roughly 0.05 percentage points, indicating relatively stable shifts punctuated by a stronger lift in late Q3.

Selected market comparison

  • Data availability: The selected_data for Legal in New Zealand is empty for the period shown, so direct comparisons of averages, highs/lows, or volatility against the global baseline cannot be computed.
  • Positioning: In the absence of in-market observations, the global baseline (average 1.81%, low 1.67% in Feb 2025, high 2.12% in Sep 2025) provides a directional frame for where New Zealand Legal click-through-rate could sit relative to “above market,” “in line,” or “below average” levels once data becomes available.

Seasonality and volatility signals

  • Seasonal patterns visible in the global data:
  • Late Q4 into early Q1 softness (Oct–Feb slide to the low in February).
  • Progressive recovery from March, with stronger engagement through mid-to-late Q3 (June–September).
  • Volatility profile:
  • Moderate baseline volatility (≈0.05 percentage points average monthly shift), with the most notable acceleration in late Q3.

Summary

With no recorded monthly observations for Legal in New Zealand, the global baseline serves as a directional benchmark: average click-through-rate at 1.81%, bottoming in February (1.67%) and peaking in September (2.12%), with a +20.1% lift from October to September and moderate volatility overall. Understanding click-through-rate benchmarks on Facebook Ads in industry Legal 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. In the Legal industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.