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February 2025 - February 2026
Detailed observation of presented data
Consulting purchase costs moved through 2025 like a switchback: a steep early-year drop, a forceful midyear climb, and a Q4 peak before a year-end cool-off. Across all countries, Cost per Purchase (CPP) for Consulting averaged about $70.71 for the year, well above the global all‑industry benchmark at $51.65. The category hit its low in March and its high in October, with notably sharper month-to-month swings than the market as a whole. 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 year opened elevated at $75.01 in January, then fell hard: February ($45.26) and March ($41.47) marked the trough. From there, CPP rebounded to $73.67 in April and continued higher into summer—$82.73 in June and $76.05 in July—before pushing into its strongest stretch: $88.80 in August, $68.84 in September, and a peak at $94.45 in October. November stayed elevated at $86.13 before December dropped to $54.14.
Only four of the 11 monthly transitions were increases (Apr, Jun, Aug, Oct), but they were large gains. The sharpest monthly moves were +$32.20 in April and −$31.99 in December. H1 averaged $63.35; H2 stepped up to $78.07, a 23% lift.
Q1 was the softest stretch, with CPP sliding from January’s elevated level into a February–March trough—typical of lighter early‑year competition in many markets. Q2 represented the turn, led by April’s surge and June’s higher costs. Q3 held the higher plateau, with August among the peak months. Q4 reflected classic end‑of‑year pressure: a pronounced rise into October–November followed by a December reset, when CPP retreated close to midyear levels.
Consulting CPP sat above the global benchmark in 10 of 12 months, and the gap was substantial for most of the year. On average, Consulting ran about 37% higher than the market. The spread varied widely:
While the global trend drifted slightly downward across the year (Q1 to Q4 average from $53.61 to $49.25), Consulting across all countries became more expensive into the back half, culminating in an October–November crest.
Understanding Facebook Ads benchmarks for Cost per Purchase in the Consulting industry across all countries shows a market that is structurally above the global average, highly seasonal, and notably more volatile than all‑industry patterns. This CPP analysis helps situate Consulting industry ad performance within broader Facebook Ads benchmarks and country‑specific ad costs, clarifying how the category compares to global CPC trends, CPM analysis signals, and overall CTR performance baselines.
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.
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.
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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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.
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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.
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.
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.
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.
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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