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1. Introduction
2. Geodemographics
3. Different postcode examples (1)
4. Different postcode examples (2)
5. Different postcode examples (3)
6. Different postcode examples (4)
7. Different postcode examples (5)
8. First assumption
9. Similar neighbourhoods across the country (1)
10. Similar neighbourhoods across the country (2)
11. Second assumption
12. The postcode system
13. Illustrating postcodes on the ground
14. Census output areas
15. Data sources used in mosaic UK
16. Mosaic groups in Nottingham
17. Nottingham - zooming in
18. Postcode classification advantages
19. Qualifying consumption characteristics
20. Cigarettes purchase in 11 groups
21. Internet usage in all 61 types
22. Targeting conservative voters in all 61 types
23. Utilizing postcode classification (1)
24. Utilizing postcode classification (2)
25. Key applications of geodemographics
26. Using geodemographics for insight (1)
27. Using geodemographics for insight (2)
28. Political campaigning methods (1)
29. Political campaigning methods (2)
30. Creation and meaning of a profile
31. Comparison of local area with entire UK
32. Area profile
33. Area profiling by common targets
34. Ranked area profile
35. Customer profile
36. Practical issues in customer profiling
37. Market estimation
38. Accessing geodemographic classifications
39. Requirements of marketing GIS system
40. Issues when selecting a system
41. Neighbourhood opposed to occupation
42. Inferences from name and address
43. Classifying feudal consumers
44. Classifying pre-industrial consumers
45. Classifying consumers in industrial Europe
46. Classifying consumers in post industrial Europe
47. Status is increasingly fragmented
48. Neighbourhoods as brands
49. Formal test for neighbourhood as a predictor
50. Which discriminator predicted best?
51. Why neighbourhoods differ?
52. Contributors to differences in consumption
53. Peer group effects
54. Coverage of mosaic classification systems (1)
55. Similarities and differences in classification (1)
56. Similarities and differences in classification (2)
57. Similarities and differences in classification (3)
58. Coverage of mosaic classification systems (2)
59. Thank you

Topics Covered

• Geodemographics
• Different postcode examples
• First assumptions
• Similar neighborhoods across the country
• Second assumptions
• The postcode system
• Mosaic UK
• Postcode classification advantages
• Qualifying consumption characteristics
• Utilizing postcode classification
• Key applications of geodemographics
• Using geodemographics for insight
• Political campaigning methods
• Creation and meaning of a profile
• Area profiling by common targets
• Practical issues in customer profiling
• Market estimation
• Requirements of marketing GIS system
• Issues when selecting a system
• Neighborhood opposed to occupation
• Inferences from name and address
• Neighborhoods as brands
• Formal test for neighborhood as a predictor
• Which discriminator predicted best?
• Why neighborhoods differ?
• Contributors to differences in consumption
• Peer group effects
• Coverage of Mosaic classification systems
• Similarities and differences in classification

Links

Series:

• Targeting and Segmentation in Marketing

Categories:

• Marketing & Sales

Talk Citation

Publication History

• Published on May 21, 2008