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November 2024 - November 2025
Detailed observation of presented data
Consulting’s cost-per-purchase ran consistently above the global benchmark across all countries, but with far sharper swings month to month. The year opened at a lofty $126.64 in November 2024, reset quickly into December, and then cycled through a soft Q1, a firming Q2–Q3, and an unusually steep drop into November 2025. Across the period, Consulting averaged about $71 per purchase versus the $48 global median — a meaningful premium — yet its path was more turbulent, with standout spikes in August and abrupt contractions in late fall.
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.
Consulting’s cost per purchase began at $126.64 (Nov 2024) and finished at $33.68 (Nov 2025), a 73% net decline. The series averaged $71, with a high at the start ($126.64) and a low at the end ($33.68), a range of $93. Notable movements included a sharp reset from November to December (−$54), a further slide into March ($41.47), and then a spring rebound into April (+$31.63). Momentum extended into early summer, peaking again in August at $90.90 before easing in September ($64.74). October lifted to $72.17, then November fell hard to the series low.
Volatility was pronounced. The average absolute month-to-month move was $20.46 in Consulting, compared with just $3.45 for the global benchmark — roughly six times more variable. The largest single drop came at the end of the period (October to November, −$38.49), while the strongest one-month lift was March to April (+$31.63).
The rhythm tracked recognizable seasonal contours with some deviations. Q1 was softer: January–March averaged $54.20, bottoming in March. Q2 rebounded to a $71.75 average, and Q3 stayed elevated at $76.72, punctuated by the August peak. Early Q4 typically tightens, and October did rise to $72.17; however, November bucked the usual pattern with an unusually low $33.68, marking the period’s trough.
Against the global benchmark, Consulting across all countries maintained a steady premium: $71 vs. the global $48 average (+48%). Month by month, Consulting was typically 20–80% above global levels. The gap was widest in November 2024 (nearly 3x the global median), narrowed materially in December and January (+44–45%), briefly flipped below market in February (−14%) and March (−21%), then widened again through summer (+31–80%). By November 2025 the gap was at its narrowest, with Consulting only 10% above global.
Trend-wise, the global benchmark drifted modestly lower across the period (−28% from November to November) and remained comparatively stable (average monthly change $3.45). Consulting declined more steeply (−73%) and was notably more volatile, with larger swings around seasonal pivots.
Facebook Ads benchmarks for cost per purchase show Consulting across all countries carries higher, more variable acquisition costs than the global composite, with softness in Q1, strength through mid-year, and an atypical November low. While this snapshot centers on CPP, marketers often view it alongside CPC trends, CPM analysis, and CTR performance to understand country-specific ad costs and overall industry ad performance. Understanding cost-per-purchase benchmarks for the Consulting industry across all countries helps quantify how this segment tracks relative to global patterns.
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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