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June 2025 - June 2026
Detailed observation of presented data
Construction cost-per-purchase diverged sharply from the global baseline across the last 12 months. The Construction vertical (All countries available) ran materially higher and far more volatile than the overall market: costs started around $166 in June 2025 and finished near $238 in May 2026, punctuated by a deep low in November and a pronounced spike in February. 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 Construction in All countries available compared to the global benchmark.
Construction COST_PER_PURCHASE averaged roughly $196 over the period, ranging from a low of $145 (November 2025) to a peak of $324 (February 2026). The series began at $165.6 in June 2025 and ended at $237.7 in May 2026 — an overall rise of about +43.6% from start to finish. Key monthly moves include a steady mid-year band ($156–$181 between August and October), a November trough at $144.6, then a Q1 surge with January jumping to $237.8 and February spiking to $324 (+52% from December to January; +36% from January to February). March retraced sharply to $220 (-32% vs. February) before settling in the $190–$238 range in spring.
By contrast, the global baseline cost-per-purchase averaged about $49.8 over the same months, with its own high of $55.5 in March and a low of $42.2 in May.
Seasonal rhythm is visible: Construction costs softened into late Q4 (Nov–Dec) before accelerating in early Q1. The January–February window stands out as the period of greatest upward momentum, with February representing the single largest monthly peak. Late spring showed partial rebound and stabilization but remained elevated versus summer and autumn of the prior year. The baseline exhibited milder seasonality with smaller month-to-month moves and a gentle decline into May.
Across every month, Construction cost-per-purchase ran multiple times above the global benchmark. On average Construction was about 3.9x the baseline ($196 vs. $49.8). At its narrowest gap (August 2025) Construction was ~3.0x the global median; at its widest (February 2026) it was ~6.5x higher. Volatility tells a similar story: Construction’s average absolute month-over-month swing was roughly 19% versus about 6% for the overall market, making the vertical considerably more volatile than the global baseline.
Understanding Facebook Ads cost-per-purchase benchmarks and industry ad performance for Construction in All countries available supports clearer comparisons of country-specific ad costs and broader CPM analysis across markets.
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 Construction 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.
This dataset updates frequently as new ad data flows in. It will only get bigger and better.
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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