One-to-one Personalization

By July 14, 2020 No Comments

Glossary

A knowledge hub for digital marketers.

One-to-one Personalization

One-to-one personalization or personalized marketing is a marketing strategy that uses data to deliver highly individualized messages and offers to current or future customers. One to one personalized marketing helps marketers to provide an enhanced and effective customer experience to their users and improves the overall marketing impact and metrics. 

Personalization helps brands and customers in different ways.

  • Brands: Understand customers better, determine the effectiveness of marketing in influencing customers and increase marketing efficiency by automating personalization campaigns
  • Customers: Bridge the gap between their needs and brand offerings, improve product discovery, enhance shopping experiences, and decrease digital frustrations. 

1 on 1 personalized marketing is driven by data and uses technology to gather, classify, analyze, transfer, and scale data. Data used for personalization include demographic data such as gender, age group, location, income, etc. along with historical data, behavioral data, and third-party data like CRM data.  

Why 1:1 Personalization Should Be Part of Your Marketing:

Your customers are unique, and they want you to know what exactly they want, when they want and how they want it. They also want you to know their preferences as well as their interests and disinterests, and they want you to enable them to be able to find what they need from you without any surprises, extra clicks, or obstacles.

Using personalization, you can quickly develop deeper relationships by tailoring individual user experiences to exactly what they want and expect from you. It also helps you in improving your conversions by convincing the potential customers that you know and understand their behavior and needs. In addition to that, personalization allows you to micro-target potential customers based on the likelihood of making a purchase and improves your user engagement levels while extracting higher-quality feedback and generating more data, and growing your user community.