Global Intelligence

Fraud Prevention for Ecommerce Merchants Part 2 | Global Intelligence Blog

Written by Melissa Team | Nov 21, 2016 8:00:00 AM

Fraud Prevention for Ecommerce Merchants Part 2

Auto-Complete
Addresses with Verified Information

To ensure a customer can quickly enter their
billing/shipping information and get through the payment process, with as little
hassle as possible, is critical in ecommerce. The last thing online retailers
need is a frustrated customer submitting long fields of contact information in
a web form or in a shopping cart; especially on mobile devices. The customer
may abandon the shopping cart altogether. Customers want a simplified checkout
systemand if it’s easier for them
eRtailers will also reap the benefits.

Integrating a real-time address
auto-complete solution
into web forms will help speed up order entries with
reduced keystrokes. This type of solution makes it easy for customers to enter
an address as it uses a type-ahead function that will complete queries with
verified address, including city, state, and ZIP Codes™ for U.S. addresses, or
postal code for international addresses. eRetailers will also be able to
ensure that only clean data is entered into their database. It’s a win-win.

A more streamlined verification process will keep customers
happywhich in turn, means increased conversions, an improved customer
experience, and higher revenue for the eRetailer.

 

Capture Clean &
Verify ID

Let’s face it, oftentimes customers are in a rush or
distracted, they don’t have the time or the patience to fill out a web form which in turn means their online submissions are sloppy and inaccurate. They
may omit a letter or punctuation mark from an email address, transpose numbers
in a mailing address, or leave out the area code of their phone number.

Meanwhile, customer service representatives are guilty of
committing the same crime-entering data incorrectly in the frantic rush to
place an order to expedite delivery. Among the most common data entry errorsinaccurate data (44%); typos (22%); and spelling mistakes (19%); according to a
published report.

Learn more in Part 3 or visit our website to
discover ecommerce solutions now! Or, if you missed Part 1 check it out here. 

Tags , ,

Post navigation

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Search

Search for :

Subscribe

Archive

Categories

About This Site

All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence