<\/span>\u00a02. Understand Postcode Granularity<\/span><\/h1>\nDifferent postcode levels give different insights:<\/p>\n
\n\n\n| Level<\/th>\n | Example<\/th>\n | Use Case<\/th>\n<\/tr>\n<\/thead>\n |
\n\n| Area<\/td>\n | SW<\/td>\n | Regional trends<\/td>\n<\/tr>\n |
\n| District<\/td>\n | SW1<\/td>\n | City-level insights<\/td>\n<\/tr>\n |
\n| Sector<\/td>\n | SW1A 1<\/td>\n | Neighborhood analysis<\/td>\n<\/tr>\n |
\n| Unit<\/td>\n | SW1A 1AA<\/td>\n | Street-level precision<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Tip:<\/strong><\/p>\n\n- Use district\/sector<\/strong> for strategy<\/li>\n
- Use unit-level<\/strong> for precision targeting<\/li>\n<\/ul>\n
\n<\/span>\u00a03. Collect and Combine Data Sources<\/span><\/h1>\nTo extract meaningful insights, you need more than just postcodes.<\/p>\n <\/span>1. Geographic Data<\/span><\/h3>\n\n- Latitude & longitude<\/li>\n
- Administrative boundaries<\/li>\n<\/ul>\n
Source:<\/p>\n \n- Ordnance Survey<\/li>\n<\/ul>\n
\n<\/span>2. Demographic Data<\/span><\/h3>\n\n- Age distribution<\/li>\n
- Household size<\/li>\n
- Education levels<\/li>\n<\/ul>\n
Source:<\/p>\n \n- Office for National Statistics<\/li>\n<\/ul>\n
\n<\/span>3. Economic Data<\/span><\/h3>\n\n- Income levels<\/li>\n
- Employment rates<\/li>\n
- Property values<\/li>\n<\/ul>\n
\n<\/span>4. Behavioral Data |