WISMOlabs Research & Benchmarks

Post-Purchase Research & Ecommerce Delivery Benchmarks

Original WISMOlabs research drawn from millions of anonymized shipments and related post-purchase interactions. Explore evidence-based findings about delivery performance, ETA reliability, tracking behavior, shipment messaging, customer experience, and ecommerce operations.

Each study explains its dataset, methodology, definitions, limitations, and practical implications, helping retailers, technology partners, and logistics teams to interpret the findings in context.

Featured research & analysis

Latest research

Studies, benchmarks, and practical playbooks for ecommerce teams responsible for delivery, customer experience, support, retention, and logistics

Split shipment research - managing customer expectations

Research & Benchmarks

Split Shipments: Managing Customer Expectations Across the Order Journey

Split shipments can confuse customers when one package arrives before the rest. WISMOlabs research examines how carrier mix and shipment-record timing are associated with staggered deliveries – and why clear, order-level communication matters. Learn what to tell customers before fulfillment, during transit and after a partial delivery, without exposing unnecessary operational detail.

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Research & Benchmarks

When an ETA Is Not a Promise: A Retailer Playbook for Confidence-Aware Delivery Messaging

WISMOlabs analyzed anonymized operational data from more than 2.5 million shipments across 140 retailer entities to examine carrier ETA availability and accuracy. The study explains why an ETA is evidence, not automatically a retailer promise, and provides transparent methodology, benchmarks, limitations, and a practical framework for confidence-aware post-purchase messaging for ecommerce retailers.

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Boosting E-commerce Success_ The ROI of Advanced Order Tracking

Branded Tracking Page

The ROI of Advanced Order Tracking: A Measurement Framework for Ecommerce

A practical framework for measuring advanced order tracking ROI across delivery-signal quality, customer communication, support efficiency, and attributable revenue – grounded in WISMOlabs research and documented customer outcomes.

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From findings to decisions

How retailers can use the research

WISMOlabs research is designed to help ecommerce teams move beyond generic post-purchase best practices. The findings provide comparative evidence, diagnostic questions, and practical frameworks retailers can apply to their own delivery operations.

Evaluate delivery expectations

Understand when an ETA provides enough confidence to communicate – and when customers need additional context.

Improve shipment messaging

Identify situations where a standard carrier event is insufficient and determine what explanation, reassurance, or action should accompany it.

Design better tracking experiences

Use tracking behavior and information paths to decide what customers should see, where they should go next, and which content deserves prominence.

Reduce avoidable WISMO pressure

Find post-purchase moments where proactive communication or better self-service information may prevent unnecessary support inquiries.

Respond to exceptions appropriately

Distinguish delays, failed delivery attempts, tracking-data problems, and other conditions that require different customer workflows.

Improve post-delivery actions

Use delivery context to inform review invitations, customer education, recovery, replenishment, and retention messaging.

Research standards

How WISMOlabs research is produced

WISMOlabs analyzes anonymized operational data from retailer implementations. The exact sources vary by study and may include shipment records, carrier events, estimated delivery dates, tracking-page activity, and notification activity.

Methodology is part of the finding – not a footnote.

Defined scope

Each publication identifies the study period, cohort, exclusions, metric definitions, calculation method, and known limitations relevant to its findings.

Retailer-level perspective

Where a study describes retailer outcomes, retailers are treated as distinct operating environments. This prevents a small number of high-volume businesses from automatically defining the typical retailer experience.

Clear separation of evidence

Portfolio benchmarks and customer-reported business outcomes answer different questions. Shipment and interaction findings are presented separately from reported changes in support inquiries, reviews, retention, or revenue.

Responsible disclosure

Retailer and customer information remains anonymous unless WISMOlabs has permission to identify the company and disclose the relevant outcome.

Research coverage

What we study

WISMOlabs research examines the decisions and customer experiences created between checkout and delivery – and what should happen next.

Delivery performance and carrier variability

ETA availability, reliability, and promise alignment

Tracking-page behavior and information paths

Context-aware shipment messaging and workflows

WISMO support pressure and self-service

Delivery exceptions and recovery

Post-delivery reviews, education, and retention

Post-purchase architecture for retailers, 3PLs, and technology partners

Interpretation

Use the findings in context

“The typical ecommerce shipment does not exist.”

Carrier mix, service level, geography, industry, delivery speed, package contents, customer segment, tracking-page design, and communication rules can all influence the outcome.

Use these studies as comparative evidence and decision frameworks – not as universal promises. Each publication explains what the available data supports, what it cannot establish, and what a retailer can test in its own operation.

From evidence to action

Apply the research to your post-purchase experience

WISMOlabs helps ecommerce teams combine shipment events with order, customer, carrier, and timing context to decide what customers should see, which message should be sent, and what workflow should happen next.