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Facebook Ads Cost Per Purchase Benchmarks for SaaS & Cloud Platforms in New Zealand

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for SaaS & Cloud Platforms in New Zealand

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • Based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks, this analysis looks at cost per purchase trends for industry SaaS & Cloud Platforms and target country New Zealand compared to the global trend.
  • New Zealand SaaS & Cloud Platforms sits well above market: the average cost per purchase is about 79.06 versus the global baseline’s 47.82, a premium of roughly 65%.
  • Clear seasonality: costs climb from late Q4 into Q1, peak in March, and ease sharply by late Q3, with a pronounced dip in August–September.
  • Volatility is higher than the global trend: average month-to-month moves of ~12% (about $9.96) versus the baseline’s ~7% (about $3.25).
  • Overall trend declines across the window: down ~38% from October 2024 to September 2025, compared to a ~31% decline globally.

What the selected data shows

  • Average: 79.06 across the 12 months.
  • High/low: Peak at 95.27 in March 2025; low at 47.27 in September 2025, a peak-to-trough swing of about $48.
  • First-to-last change: From 76.15 (Oct 2024) to 47.27 (Sep 2025), down ~37.9%.
  • Volatility: Average month-to-month absolute change is ~12.1% or ~$9.96.
  • Notable spikes/dips:
  • Climb through Q4–Q1: Oct 76.15 → Nov 85.96 (+12.9%); Mar peaks at 95.27.
  • Sharp mid-late year correction: Jul 89.28 → Aug 51.81 (−42.0%), then Sep 47.27 (−8.8%).

How it compares to the global baseline

  • Average level: 79.06 vs 47.82 means New Zealand SaaS & Cloud Platforms costs are consistently above market. Every month exceeds the baseline:
  • The largest gaps are in November (+~99%) and July (+~93%).
  • The closest month is August (+~13%), where local costs nearly converged with global medians.
  • High/low vs baseline:
  • Selected peak (Mar 95.27) is ~81% above the global level that month (52.61).
  • Selected low (Sep 47.27) still sits ~46% above the global low (32.29).
  • Volatility:
  • Selected data: ~12% average absolute monthly change (~$9.96).
  • Baseline: ~7% average absolute monthly change (~$3.25).
  • Conclusion: New Zealand SaaS & Cloud Platforms shows higher variability than the global composite.
  • Direction of travel:
  • Selected declines ~38% from Oct to Sep; baseline declines ~31% over the same span, so the local market softened more sharply.

Seasonality and patterns

  • Both the selected data and the global benchmark indicate higher costs from late Q4 into Q1, followed by easing through mid-year and a notable drop into late Q3. This aligns with typical pressure around holiday and early-year demand and softer late-summer periods.
  • The March high and August–September lows are consistent across the two series, though the local swings are larger.

Summary

Across October 2024–September 2025, cost per purchase for SaaS & Cloud Platforms in New Zealand is above market, more volatile, and shows a sharper late-year correction than the global benchmark. Understanding cost per purchase benchmarks on Facebook Ads in industry SaaS & Cloud Platforms and New Zealand helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the SaaS & Cloud Platforms 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. 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's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

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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