DEEP BACKGROUND

The evidence underneath Applied Fandom.

Thirteen pages, one per pillar of the method. Each one answers a single question completely and carries the published work that holds the pillar up, including the strongest objection to it and the point where the evidence stops.

1. Propensity over demographics
   How strong is the evidence that behaviour predicts better than demographics?
   https://superfandom.ai/science/propensity-over-demographics/
2. The lens
   Does spending longer defining the problem actually produce better answers?
   https://superfandom.ai/science/the-lens/
3. The map
   When can you trust what your team already knows about your audience?
   https://superfandom.ai/science/the-map/
4. The room
   Can you trust what customers tell you about their own reasons?
   https://superfandom.ai/science/the-room/
5. Fanatics
   Why do the most committed fans take a brand's decisions personally?
   https://superfandom.ai/science/fanatics/
6. Enthusiasts
   Does influencer marketing actually work, and if so which part of it?
   https://superfandom.ai/science/enthusiasts/
7. Casuals
   What does the evidence say about where brand growth actually comes from?
   https://superfandom.ai/science/casuals/
8. Indifferents
   How many times can you show someone the same thing before it stops working?
   https://superfandom.ai/science/indifferents/
9. The base
   Why do launches with enormous reach sometimes produce no adoption?
   https://superfandom.ai/science/the-base/
10. Belonging
   Can an online community give people a real sense of belonging?
   https://superfandom.ai/science/belonging/
11. The portfolio
   Does tailoring the message to different groups actually work?
   https://superfandom.ai/science/the-portfolio/
12. The engine
   Why don't brainstorms produce good ideas?
   https://superfandom.ai/science/the-engine/
13. What the Cone is not
   How is the Cone different from Rogers' adoption curve?
   https://superfandom.ai/science/what-the-cone-is-not/