Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Public Administration in Australia

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

Cost Per Purchase for Public Administration in Australia

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost per purchase trends for industry Public Administration and target country Australia compared to the global trend, based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected Australia/Public Administration data points were available for the period, so comparisons to the global baseline cannot be quantified; use the baseline as the market-level reference.
  • Globally, cost per purchase averaged $47.82 over the last 12 months, with a high of $53.89 in February 2025 and a low of $32.29 in September 2025.
  • Seasonality is evident: costs rose into December and remained elevated through Q1, then eased in Q2 and fell sharply in September.
  • Volatility was moderate overall (median month-over-month move ~2.37%) but featured notable swings in November–December (+19.3%) and August–September (−29.3%).

What the global baseline shows

Across October 2024–September 2025, the global baseline for cost per purchase points to a clear seasonal profile and a downward finish:

  • Average: $47.82
  • High: $53.89 (February 2025)
  • Low: $32.29 (September 2025)
  • Range: $21.60 across the year (about 45% of the annual average)
  • Change from first to last month: −30.8% (from $46.67 in October 2024 to $32.29 in September 2025)

Quarterly patterns:

  • Q4 2024 (Oct–Dec): $47.13 average, with a December uplift to $51.53.
  • Q1 2025 (Jan–Mar): $52.94 average, the year’s most expensive quarter.
  • Q2 2025 (Apr–Jun): $49.83 average, easing from Q1.
  • Q3 2025 (Jul–Sep): $41.39 average, dragged down by the sharp September dip.

Month-to-month movements underline steady mid-year dynamics contrasted with a few sharper shifts:

  • Largest rise: November → December (+19.3%)
  • Largest decline: August → September (−29.3%)
  • Average absolute monthly change: ~7.0%; median absolute monthly change: ~2.37%, indicating typical month-to-month moves were small with occasional spikes.

Comparison to the selected segment

For Public Administration in Australia, no selected_data was available over the same period. As a result:

  • Relative positioning (above market, below average, or in line) cannot be determined.
  • Seasonal alignment to the market (e.g., Q4–Q1 increases) cannot be confirmed for the selected segment.

In the absence of selected figures, the global baseline provides a directional benchmark: costs typically climb into December, peak around Q1, soften through Q2, and may drop late in Q3.

Notable spikes and dips

  • December uplift: A typical seasonal rise with cost per purchase jumping 19.3% from November.
  • Q1 plateau at the top: January–March remained elevated ($52–$54 range).
  • Early summer softening: May → June dipped −7.9%.
  • Late Q3 drop: August → September fell −29.3%, creating the annual low.

Understanding cost per purchase benchmarks on Facebook Ads in industry Public Administration and Australia 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 Public Administration industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Australia, advertisers typically see good engagement rates despite moderate costs. 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.

Australia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 27Australia Day (observed)
Apr 18‑21Easter weekend
Apr 25Anzac Day
Jun 9King's Birthday
Oct 6Labour Day
Dec 25Christmas Day
Dec 26Boxing Day

Key Shopping Season

Late December (Christmas and Boxing Day), Early December (Cyber Monday), January (Back-to-school), May (Mother's Day)

Potential Advertising Impact

Ad costs could spike around major holidays, especially Easter, Anzac Day, and Christmas. Increased budgets and earlier scheduling may be necessary. Retailers should consider planning promotions around back-to-school and Mother's Day to maximize campaign effectiveness.

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.