Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Consulting

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

Cost Per Purchase for Consulting

November 2024 - November 2025

Insights

Detailed observation of presented data

Introduction

The headline in the data is a cost story with sharp contours: Consulting’s Facebook Ads cost per purchase (CPP) across all countries ran materially above the global benchmark on most months, yet moved through a surprisingly wide arc—spiking in late Q4 2024, bottoming in March, and then rebounding into late summer before easing again. Volatility was the defining characteristic: bigger swings than the overall market and a wider range between highs and lows. 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 across all countries compared to the global benchmark.

The story in the data

Across November 2024 to October 2025, Consulting’s CPP averaged $73.6, with a high of $126.64 in November 2024 and a low of $41.58 in March 2025—a range of $85.06. The year opens at that November peak, slides to $79.19 in December (−38% month over month), softens further to $75.02 in January, then drops hard across February ($46.96) and March ($41.58). From that trough, CPP rebounds sharply to $73.10 in April (+76% vs. March), climbs again into June ($85.42), and reaches a late-summer high at $88.80 in August before easing to $65.62 in September and $64.57 in October.

Momentum-wise, the period shows a near-halving from November to October (−49%), but a more measured −14% when comparing January to October, reflecting a U-shaped midyear recovery after a Q1 trough. Average month-to-month swing measured by absolute change was $18.28, signaling pronounced volatility relative to the global market.

Seasonal and monthly dynamics

Late Q4 2024 was the outlier: November’s $126.64 stands as the clear peak, followed by a December correction. Q1 2025 was the softest stretch (average $54.5), with CPP compressing through February and March—consistent with a period where competition often eases post-holiday. Q2 marked a rebound (average $73.5), and Q3 extended that momentum slightly higher (average $76.2), peaking in August before cooling into early Q4. The rhythm resembles a classic year: a Q4 spike, a Q1 trough, and a midyear lift—only the amplitude is larger than typical Facebook Ads benchmarks.

Country vs. Global

Compared to the global benchmark (all industries, all countries), which averaged $49.33 and stayed in a narrow $42–$54 band, Consulting’s CPP ran higher and far more volatile. The global market’s average monthly swing was just $2.58 versus Consulting’s $18.28. On level, Consulting outpaced global in 10 of 12 months—often by 20–80%—and was briefly below market in February (−13%) and March (−21%). The gap was widest in November 2024, when Consulting’s CPP was nearly 3x the global median (+197%). Trend-wise, the global benchmark eased about 17% from January ($52.12) to October ($43.33), while Consulting fell 14% over the same span—choppier and higher, but generally converging lower into Q4.

Closing

In sum, Facebook Ads benchmarks for cost per purchase in the Consulting industry across all countries show elevated, highly variable conversion costs versus the global median—marked by a Q4 spike, a Q1 low, and a midyear rebound. Understanding CPP trends within industry ad performance helps contextualize country-aggregated ad costs and compare them to broader CPM analysis or CTR performance narratives in the global benchmark.

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.