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Facebook Ads Cost Per Purchase Benchmarks for Consulting

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Cost Per Purchase for Consulting

July 2025 - July 2026

Insights

Detailed observation of presented data

Introduction — the main story in plain language

Consulting’s cost-per-purchase ran notably higher and more erratic than the global benchmark for the year-long window ending June 2026, before an abrupt collapse in the final month. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Consulting in All countries available compared to the global benchmark.

The story in the data

Cost per purchase for Consulting began the series at $104.08 in June 2025, climbed to a peak of $115.40 in August 2025, and averaged roughly $85.04 across the 13 months. The low point was $12.10 in June 2026 — an 88% decline from the June 2025 start. By contrast the global baseline median sat near $48.18 on average, ranging from $25.50 to about $55.54 over the same months.

Across the year Consulting mostly tracked well above the global benchmark: in mid-2025 Consulting costs were 100–120% higher than baseline (June–September), with the largest premium in August (~121% higher). The premium narrowed through winter and early spring — down to roughly 38% above baseline in January 2026 — before widening again in spring 2026. The final month flipped the narrative: June 2026 saw Consulting costs about 53% below the baseline ($12.10 vs $25.50).

Volatility was pronounced. Absolute month-over-month moves averaged about 17.5% for Consulting, compared with roughly 8.7% for the global baseline. Notable jumps and drops include a nearly 22% fall into January 2026, a 15%+ rebound into March, and a dramatic ~86% collapse into June 2026 that materially altered the year’s shape.

Seasonal and monthly dynamics

The rhythm of the series shows a summer peak and a bumpy descent into Q4 2025: June–September 2025 sat at the top of the band ($101–$115), then October–November softened into the $74–$94 window. December showed a rebound to about $87, followed by a dip into January ($68) and a modest recovery through spring ($75–$89). The last month (June 2026) broke the pattern with an extreme drop to $12.10.

The baseline displayed more muted seasonality, hovering in the $44–$55 band much of the year, with its own large decline in June 2026 to $25.50. Both series show end-of-series weakness, but Consulting’s moves were larger and less regular, producing sharper spikes and deeper troughs across months.

Country vs. Global (relative phrasing)

Consulting’s cost-per-purchase was consistently above market for most of the period — often 60–120% above the global median during the mid-2025 peak months — indicating a persistent premium for industry ad performance versus the aggregated baseline. The spread narrowed to the mid-single-digits in early 2026 relative terms (as low as ~38% above baseline in January), then widened again in spring. At its narrowest positive gap Consulting costs were ~38% above global; at its widest they were ~121% above global. By June 2026 the relationship inverted, with Consulting ~53% below the global median. Overall, Consulting showed materially more volatility than the baseline.

Understanding Cost Per Purchase movements for Consulting across All countries available offers context for Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance comparisons, and broader observations about country-specific ad costs and industry ad performance.

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 Consulting industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. 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.

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.