What Is First Attempt Delivery Rate? Calculation, Benchmarks, and Use In Software

The percentage of deliveries completed successfully on the first attempt.

First Attempt Delivery Rate is the percentage of deliveries completed successfully on the first attempt. This metric measures how often a carrier, courier, or delivery operation places a shipment at the intended delivery location without requiring a repeat visit. In software and operational reporting, it’s a primary indicator of last-mile efficiency, customer experience, and cost control because failed first attempts drive re-delivery costs, additional driver time, and customer dissatisfaction.

Measured consistently, the First Attempt Delivery Rate gives logistics teams a clear view of routing accuracy, address quality, appointment adherence, and the effectiveness of communication with recipients. Software platforms — including TMS, WMS modules with carrier integrations, and last-mile delivery apps — both report the metric and provide tools to improve it.

How The Metric Is Calculated

Calculation is straightforward but needs precise data definitions to be meaningful across systems.

• Numerator: Number of deliveries marked as completed on the first delivery attempt within the reporting period.
• Denominator: Total number of delivery attempts (or total deliveries scheduled) in the same period — choose one and be consistent.
• Formula: (Numerator ÷ Denominator) × 100 = First Attempt Delivery Rate (percentage).

Decide whether to exclude intentional multi-attempt deliveries (scheduled multi-drop with timed appointments) or returns; document those exclusions in your definition so benchmarks are comparable.

Why It Matters For Software And Operations

High first-attempt success reduces cost and improves customer experience. Each unsuccessful attempt adds driver labor, fuel, and potential secondary delivery fees. From a software perspective, the metric highlights where automation, validation, and real-time information can reduce failures.

• Cost Control: Reducing re-deliveries lowers FTL/LTL and parcel spend tied to attempted-delivery fees or additional routes.
• Customer Experience: Customers rate single-delivery success highly; it drives repeat business and lowers support contacts.
• Carrier Performance: Managed carriers and subcontractors can be benchmarked on first-attempt success for KPIs and incentives.

Common Causes Of Failed First Attempts

Understanding causes helps prioritize software fixes and process changes.

• Incorrect Address Data: Bad or incomplete addresses cause misdeliveries or inability to locate the recipient.
• Recipient Unavailability: No one present at the time of delivery for signature-required shipments.
• Access Restrictions: Gated communities, businesses with limited receiving windows, or locked lobbies block access.
• Poor ETA Accuracy: Wide delivery windows frustrate recipients and increase missed connections.

How Software Displays And Supports The Metric

TMS and last-mile delivery platforms provide dashboards, drill-downs, and alerts tied to first-attempt rates. Typical software features that surface and help improve the metric include:

• Real-Time Proof of Delivery (POD): Photos, signatures, and GPS timestamps that verify first-attempt success.
• Address Validation: Auto-correct and standardize addresses at order entry to reduce errors before routing.
• ETA and Notification Engines: SMS/email notifications narrow arrival windows and increase recipient availability.
• Driver Apps: Tools for drivers to capture notes about failed attempts and request alternative instructions.

Benchmarks And What Good Looks Like

Benchmarks vary by shipment type, geography, and customer expectations. For parcel carriers in dense urban areas, first-attempt rates commonly exceed 90%. For bulky residential deliveries that require appointments or installation, rates may be lower.

• Parcel (standard B2C): Target 92–98% depending on notification and drop-off rules.
• White-Glove/Installation: Target 75–90% depending on appointment adherence and multi-person requirements.
• LTL Residential: Often 85–95% with proper appointment scheduling and pre-notification.

Practical Example

A regional 3PL with 10,000 weekly residential shipments tracks a first-attempt delivery rate of 84%. Analysis shows 40% of failures result from incorrect suite numbers in multi-tenant buildings, and 30% from missed appointment windows. They implement address validation at checkout and automated SMS with a 30-minute arrival window. After three months, the first-attempt rate rises to 91% and re-delivery costs fall by 22%.

Tips For Reporting And Improvement

• Define Clearly: Standardize what qualifies as a first attempt across carriers and channels.
• Segment Reports: Break down by delivery type, zone, and carrier to find patterns quickly.
• Integrate Systems: Connect order entry, WMS, TMS, and driver apps so valid address and scheduling data flows through the process.
• Use Root-Cause Data: Capture failure reasons at the point of failure for actionable fixes (e.g., address error, access denied, no answer).

In short, the First Attempt Delivery Rate is a concise operational KPI that signals the health of last-mile execution. When accurately measured and combined with targeted software and process changes, it reduces cost and improves customer satisfaction.