Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Construction in India

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

Cost Per Purchase for Construction in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Construction and target country India compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected data points were available for Construction in India in the provided period, so direct, in-market benchmarking versus the baseline cannot be computed.
  • Globally, cost-per-purchase averaged 47.82 over the last 12 months, peaking in February 2025 (53.89) and bottoming in September 2025 (32.29).
  • The baseline shows a -30.8% move from October 2024 to September 2025, with typical month-to-month changes modest (median shift ≈ 1.28), but two notable swings: a December uplift and a sharp September dip.
  • Seasonal pattern: costs generally rise in Q4 and into Q1 (holiday and new-year demand), then ease through spring/summer before an outsized decline in September.

Scope and context

  • Metric: cost-per-purchase (median, monthly)
  • Industry: Construction
  • Country: India
  • Baseline: global aggregate
  • Note: The selected dataset for Construction in India contains no entries for the period, so the global series serves as the directional benchmark for Facebook Ads cost-per-purchase.

Global baseline overview

  • Average: 47.82 across Oct 2024–Sep 2025
  • High: 53.89 in February 2025
  • Low: 32.29 in September 2025
  • Range: 21.60 between peak and trough
  • First-to-last change: from 46.67 (Oct 2024) to 32.29 (Sep 2025), a -30.8% decline
  • Volatility:
  • Median month-to-month absolute move: ≈ 1.28 (about 2.7% of the average)
  • Average month-to-month absolute move: ≈ 3.25
  • Largest single-month dip: August to September (-13.40, -29.3%)
  • Largest single-month lift: November to December (+8.34, +19.3%)

Seasonal patterns and notable movements

  • Q4–Q1 elevation: After a softer November, costs rose sharply in December (51.53) and remained elevated through January (52.31) and February (53.89). This aligns with typical Facebook Ads benchmarks where holiday and new-year periods lift demand and prices.
  • Gradual normalization: From March (52.61) through August (45.69), the baseline trended lower in small, steady steps, reflecting calmer spring/summer advertising conditions.
  • Sharp September reset: A pronounced dip in September (32.29) breaks the gentle downward pattern and sets the period’s low.

Construction in India vs. global baseline

  • Data availability: There are no monthly observations for Construction in India during the timeframe provided. As a result, we cannot quantify averages, highs/lows, volatility, or relative positioning (“above market,” “below average,” or “in line”) for the selected segment.
  • Practical implication for benchmarking: The global baseline offers a directional reference for expected seasonality and typical cost bands. Without local data points, it is not possible to assert whether Construction in India typically prices above or below the market during these months.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Construction and India helps advertisers make more efficient budget and creative choices.

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 Construction industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting India, advertisers should consider local market factors and user behavior. 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.

Optimize Smarter with Superads

Improve your Facebook ad performance

Instant performance insights – See which ads, audiences, and creatives drive results.

Data-driven creative decisions – Spot patterns to improve ROAS.

Effortless reporting – No spreadsheets, just clear insights.

Get Started for free →

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.

India Advertising Landscape

National Holidays

Jan 26Republic Day
Mar 14Holi
Apr 18Good Friday
May 1Labour Day
Aug 15Independence Day
Oct 2Mahatma Gandhi Jayanti
Oct 21Diwali
Dec 25Christmas Day

Key Shopping Season

October (Diwali), Late November (Black Friday/Cyber Monday), December (Christmas), July–August (Raksha Bandhan, Ganesh Chaturthi)

Potential Advertising Impact

CPMs might spike significantly during Diwali, especially in electronics, apparel, jewellery, and gifts. Black Friday/Cyber Monday and December could drive elevated ad competition. State-specific festivals might see regional campaign spikes. Bank closures during holidays may push online shopping to cluster in end-of-week periods.

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.