Facebook Ads Insights Tool

Facebook Ads CTR Benchmarks for Agriculture in New Zealand

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

CTR (Click Through Rate) for Agriculture in New Zealand

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads click-through-rate benchmarks: Agriculture in New Zealand vs global trend

This analysis looks at click-through-rate trends for industry Agriculture 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.

  • The selected market (Agriculture, New Zealand) recorded a median click-through-rate (CTR) of 5.62% in October 2024—well above market, sitting roughly 219% higher than the global median that month (1.76%).
  • The global baseline averaged 1.81% CTR from October 2024 through September 2025, with a steady climb of +20% from October 2024 (1.76%) to September 2025 (2.12%).
  • Seasonality in the baseline is clear: softer CTRs in December–February, followed by sustained improvement into late Q2 and a peak through Q3.
  • Volatility in the baseline is modest, with an average absolute month-to-month move of about 0.05 percentage points; the largest single-month lift occurred in August 2025.

Selected market overview: Agriculture in New Zealand

  • Timeframe covered: October 2024 (single observation).
  • Median CTR:
  • Average: 5.62%
  • High: 5.62% (October 2024)
  • Low: 5.62% (October 2024)
  • Change from first to last month: Not measurable (only one month available).
  • Volatility: Not measurable with a single data point.

Context: With only October 2024 available, this point indicates an above-market level for Agriculture in New Zealand at that time, but it does not establish a trend on its own.

Global baseline overview

  • Period: October 2024–September 2025 (12 months).
  • Median CTR:
  • Average: 1.81%
  • High: 2.12% (September 2025)
  • Low: 1.67% (February 2025)
  • Month-to-month movement:
  • Average absolute change: ~0.05 percentage points.
  • Notable dip: December 2024 (down 0.05 points from November).
  • Strongest rise: August 2025 (up 0.12 points from July).
  • Seasonal pattern:
  • Q4 2024 average: ~1.73%
  • Q1 2025 average: ~1.70% (trough around January–February)
  • Q2 2025 average: ~1.78% (recovery begins)
  • Q3 2025 average: ~2.01% (peak into late summer)
  • First-to-last month change: +20% (1.76% in October 2024 to 2.12% in September 2025), signaling a broad upward trajectory.

Side-by-side comparison

  • Level check (October 2024, overlapping month):
  • Agriculture, New Zealand: 5.62%
  • Global baseline: 1.76%
  • Relative position: approximately 3.19x higher (about 219% above global).
  • Against the global 12-month average:
  • Selected: 5.62% vs global average 1.81% → roughly 3.1x higher, indicating a markedly above-market CTR level for the observed month.

What marketers can infer from the data provided

  • The selected Agriculture/New Zealand CTR sits well above average relative to the global benchmark in the available month.
  • The global series shows a consistent seasonal structure: softer engagement in late Q4 through Q1 and higher CTRs into Q3.

Understanding click-through-rate benchmarks on Facebook Ads in industry Agriculture 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 Agriculture 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.