Delivery Attempt Cost Calculator

Enter your order time, carrier cutoff, transit days, package weight, and delivery costs to estimate total expected delivery cost, reattempt risk, and cost per successful delivery.

Created by Luis GonzalezLast updated: May 9, 2026

How to Use This Calculator

1
Enter the order placement hour
Input the hour (0-23) when the customer placed the order. This determines if it makes the same-day shipping cutoff.
2
Specify the carrier cutoff hour
Enter the last hour (0-23) that your chosen carrier accepts packages for same-day pickup. This is crucial for estimated delivery dates.
3
Input transit days
Provide the number of business days the package typically spends in transit after pickup. This helps estimate arrival time.
4
Enter package weight
Input the package's weight in pounds. Packages exceeding 10 lb may incur additional surcharges.
5
Provide base delivery cost
Enter the cost charged for the first attempt at delivery. This is your initial shipping expense.
6
Input re-attempt cost
Specify the cost incurred for each subsequent delivery attempt if the first one fails. This directly impacts overall profitability.
7
Enter first-attempt success rate
Input the percentage of packages successfully delivered on the first attempt. Industry averages typically range from 78-85%.
8
Review your expected costs and efficiency
The calculator will display the expected total delivery cost, average attempts, estimated arrival, and various efficiency metrics.

Example Calculation

A small e-commerce business owner calculates the average cost of delivering an order, considering potential re-attempts.

Order Time (24h)

Carrier Cutoff (24h)

Transit Days (days)

Package Weight (lb)

Base Delivery Cost ($)

$8.50

Re-attempt Cost ($)

$4.50

First-Attempt Success Rate (%)

78%

Results

$9.71

Tips

Optimize Address Validation at Checkout

Implement robust address validation software on your e-commerce platform. This can significantly improve first-attempt success rates by catching errors before shipment, reducing re-attempt costs.

Communicate Delivery Expectations Clearly

Provide customers with accurate estimated delivery dates and tracking information. Proactive communication can reduce missed deliveries, especially for residential addresses.

Analyze Carrier Performance for Route Optimization

Regularly review your carrier's first-attempt success rates for different regions or package types. Switching carriers or negotiating better terms for specific routes can yield substantial savings.

The Delivery Attempt Cost Calculator helps businesses understand the true cost of getting a package to a customer, factoring in order cutoff times, transit days, package weight, and the critical impact of re-delivery attempts. For e-commerce and logistics operations, managing the average number of attempts is crucial for profitability, with industry first-attempt success rates typically hovering between 78-85% in 2025. This tool provides insights into expected delivery costs, estimated arrival times, and the hidden expenses of failed initial deliveries.

Probabilistic Costing for Delivery Attempts

This calculator employs a probabilistic approach to estimate the average number of delivery attempts and the resulting total cost. It uses the first-attempt success rate to determine the likelihood of subsequent attempts. For example, if the first-attempt success rate (p1) is 78%, then the probability of a second attempt (p2) is 1 - p1 (22%), and the probability of a third attempt (p3) is p2 squared (4.84%). The expected number of attempts is calculated as 1 + p2 + p2 * p2, which accounts for the first attempt plus the probabilities of needing a second or third. This average number of attempts then directly influences the total expected delivery cost by multiplying any re-attempt costs.

💡 If you're considering offering faster shipping, our Express Shipping Surcharge Calculator can help you quantify the additional costs and potential impact on your margins.

Worked Example: Calculating Total Delivery Cost for an Online Retailer

An online retailer ships a 2 lb package. Orders placed before 4 PM (16:00) ship the same day. This specific order was placed at 2 PM (14:00) and has a 3-day transit time. The base delivery cost is $8.50, each re-attempt costs $4.50, and their historical first-attempt success rate is 78%.

Order Time: "14"
Carrier Cutoff: "16"
Transit Days: "3"
Package Weight: "2"
Base Delivery Cost: "$8.50"
Re-attempt Cost: "$4.50"
First-Attempt Success Rate: "78"

The calculator first determines if the package ships today: 14:00 is before 16:00, so "Yes." Estimated arrival is 3 days. Next, it calculates the average attempts:

Probability of 1st attempt success (p1) = 0.78
Probability of 1st attempt failure (p2) = 1 - 0.78 = 0.22
Average Attempts = 1 + p2 + p2 * p2 = 1 + 0.22 + (0.22 * 0.22) = 1 + 0.22 + 0.0484 = 1.2684

Then, the expected total cost: Expected Total Cost = Base Cost ($8.50) + (Average Attempts - 1) × Re-attempt Cost ($4.50) Expected Total Cost = $8.50 + (1.2684 - 1) × $4.50 = $8.50 + 0.2684 × $4.50 = $8.50 + $1.2078 = $9.7078

Since the package is 2 lb (under 10 lb), there's no weight surcharge. The Expected Delivery Cost is rounded to $9.71.

💡 To strategically manage shipping expenses and incentivize larger orders, our Free Shipping Threshold Calculator can help you determine the optimal order value for complimentary delivery.

Optimizing Last-Mile Delivery Success Rates

Optimizing last-mile delivery success rates is a critical challenge for logistics providers, directly impacting operational costs and customer satisfaction. Factors such as accurate address data, recipient availability, and clear delivery instructions play a pivotal role. Implementing robust address validation software at the point of order and offering flexible delivery options (e.g., scheduled windows, locker pickup) can significantly reduce failed first attempts. Companies also invest in predictive analytics to anticipate potential delivery issues, aiming to keep their first-attempt success rates above 85% to minimize the financial burden of re-attempts, which can add 50-100% to the initial delivery cost.

Scenarios Where Delivery Cost Estimates Can Be Misleading

While the Delivery Attempt Cost Calculator provides a robust estimate, there are specific scenarios where its results might be misleading. First, the model assumes a consistent re-attempt cost; however, some carriers charge escalating fees for second or third attempts, or even return-to-sender fees that are not explicitly captured. Second, the first-attempt success rate is an average. It may not account for regional variations, seasonal spikes (like holidays), or specific product types that have higher delivery challenges (e.g., age-restricted items requiring ID verification). Finally, the model doesn't factor in the intangible costs of customer dissatisfaction from missed deliveries, which can lead to returns, negative reviews, and lost future business, ultimately impacting long-term profitability more than just the direct re-attempt fees.

Frequently Asked Questions

Why do delivery re-attempts occur and how do they impact costs?

Delivery re-attempts primarily occur when the recipient is unavailable, the address is incorrect, or access is restricted. Each re-attempt incurs additional costs for the carrier, which are often passed on to the shipper. These costs include extra fuel, driver time, and vehicle wear, significantly eroding profit margins, especially for lower-value goods, and increasing the overall expense per successful delivery.

What is a good first-attempt delivery success rate?

A good first-attempt delivery success rate typically falls between 85% and 95%, depending on the industry and delivery type. While e-commerce averages often sit around 78-85%, highly optimized logistics operations, particularly for business-to-business deliveries, can achieve much higher rates. Factors like accurate address data, clear delivery instructions, and recipient availability are critical for success.

How does package weight affect delivery costs beyond re-attempts?

Beyond re-attempt costs, package weight directly influences base shipping rates and can trigger surcharges. Most carriers have weight tiers, where exceeding certain thresholds (e.g., 10 lbs or 50 lbs) increases the base cost. Heavier packages also incur fuel surcharges more frequently and may require specialized handling, all contributing to higher overall delivery expenses.