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Facebook Ads Cost Per Purchase Benchmarks for Transportation and Logistics in India

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

Cost Per Purchase for Transportation and Logistics in India

October 2024 - October 2025

Insights

Detailed observation of presented data

Main takeaways

  • No in-market data is available for Transportation and Logistics in India for this period, so direct comparisons to the global baseline cannot be made.
  • The global baseline for cost-per-purchase averaged 47.82 from Oct 2024 to Sep 2025, peaking in Feb 2025 (53.89) and bottoming in Sep 2025 (32.29).
  • Baseline seasonality shows higher costs in late Q4 and Q1, followed by a gradual easing into summer and a sharp dip in September.
  • Month-to-month baseline volatility averaged about 7.0%, with the largest upswing from November to December (+19.3%) and the steepest decline from August to September (-29.3%).
  • Overall, the baseline fell 30.8% from the first to the last month in the series.

This analysis looks at cost-per-purchase trends for industry Transportation and Logistics 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.

Scope and data framing

  • Metric: cost-per-purchase (median by month).
  • Selected market: Transportation and Logistics in India.
  • Comparison set: global baseline across all industries and countries.

Selected dataset overview — Transportation and Logistics in India

  • The selected dataset contains no observations for the covered months.
  • As a result, averages, highs/lows, volatility, and month-to-month changes for India cannot be computed.
  • Relative positioning versus the market (above market, below average, or in line) cannot be determined for this period.

Global baseline overview

  • Period covered: Oct 2024 to Sep 2025.
  • Average: 47.82.
  • High: 53.89 (Feb 2025).
  • Low: 32.29 (Sep 2025).
  • Range: 21.60 across the year.
  • Change from first to last month: -30.8% (46.67 in Oct 2024 to 32.29 in Sep 2025).
  • Notable moves:
  • Largest monthly increase: +19.3% (Nov → Dec).
  • Largest monthly decrease: -29.3% (Aug → Sep).
  • Average month-to-month movement: ~7.0%.

Seasonality and trend context

  • Costs typically strengthen into late Q4 and Q1: December through February are elevated, with the period’s peak in February.
  • A softening trend follows through spring and summer, culminating in a pronounced September dip. This aligns with common seasonal patterns where costs rise around holiday peaks (Q4) and early-year demand, before easing mid-year.

Comparison to the global baseline

  • Because there is no observed data for Transportation and Logistics in India, the market’s relative position versus the global baseline cannot be established for this window.
  • For context only, the global market averaged 47.82 with a high of 53.89 and a low of 32.29, showing moderate average volatility (~7%) and a clear late-year/early-year seasonal peak.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Transportation and Logistics 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 Transportation and Logistics 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.

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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.

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.

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