Overview: Experian helps IKEA deliver more personalised and targeted marketing to loyalty program members
IKEA Australia is world renowned for producing well-designed, functional, and high-quality home furnishings, along with their signature Swedish meatballs.
IKEA Family, their B2C loyalty program, is a key part of their customer experience strategy which aims to build loyalty and engagement by personalising communication with their millions of IKEA Family members in Australia. IKEA was on a mission to improve their client intelligence, to better understand and target their loyalty members through data enrichment.
To properly match a member to the enriched dataset, IKEA needed verified mailing addresses, a critical component of the matching process.
However, manually entered addresses and an inferior data validation solution posed a risk of typing errors, incomplete data, or erroneously formatted addresses.
In turn, not only did this result in a lack of reachability of IKEA’s members, but the company encountered difficulties augmenting their data as they could not achieve a match rate higher than 83%.
IKEA, home furnishings retailer, was the world’s largest seller of furniture in the early 21st century, operating more than 300 stores around the world.
They are a value-driven company with a passion for life at home. IKEA works hard to achieve quality at affordable prices for our customers through optimising their entire value chain, by building long-term supplier relationships, investing in highly automated production and producing large volumes.
Company information: | |
Industry: | Retail |
Established: | 1943 |
Number of employees: | 135,000 |
Experian’s Address Validation was the perfect starting point to ensure correct data at the point of entry. With accurate addresses, IKEA could then enrich their existing member data with Delivery Point Identifier Data (DPID) and Experian’s Mosaic data.
An added value to Experian’s Address Validation is the ability to streamline the sign-up process. This solution significantly reduces keystrokes enabling the client to effortlessly enter their contact information and avoiding the risk of error, credited to predictive search and fuzzy matching.
As a result, the address saved is well-formatted, saving time and costs associated with database cleansing.
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