Generation Gap and different brand preference: A challenge for digital marketers
Currently, we are facing the challenge of responding to brands of all 5 generations, includes Baby Boomer, Gen X, Gen Y, Gen Z, and Gen Alpha
Currently, we are facing the challenge of responding to brands of all 5 generations, includes Baby Boomer, Gen X, Gen Y, Gen Z, and Gen Alpha
Buyer Personas are fictional representations of your ideal customers, based on their personality, age, gender, personal preferences, etc.
The collection of customer data is essential for customer relationship management. It helps businesses understand their customers better.
First Party Data ถ้าแปลตรง ๆ เลยก็คือข้อมูลของบุคคลแรก ซึ่งเป็นข้อมูลที่แบรนด์ และ/หรือ ผู้เก็บข้อมูลรวบรวมโดยตรงจากลูกค้าและผู้บริโภคของตน
Big Data, or large data, is a massive amount of data in various forms, which is mostly stored in organizations and used in business.
Collecting customer data for CRM is not easy. Companies need tools to collect data and create a good experience for customers.
Customer data analysis can be used to improve customer retention, customer relationships, and your marketing campaigns.
Analyzing 4 types of customer data; identity, descriptive, behavioral, and qualitative data, can help improve marketing campaigns.
Big Data is a massive amount of diverse data that come from a variety of sources, such as website traffic statistics, social media, etc.
Ways to motivate consumers to scan QR Codes include offering accumulated points, discounts, membership, or trial products.