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Fan Signal

The fans shaping what actually matters.

This page recognizes the fans who create the strongest signal on Fanciti. Not just the loudest. Not just the biggest spenders. The people whose discovery, saves, purchases, and reviews help creators understand what is resonating.

Boards
4 recognition lenses
Scoring model
Weighted, not single-metric
Public stance
Signal over spend
#1
Maya Thompson
Maya Thompson
@maya.collects · Austin, TX
13 creators followed this month

Moves fluidly between beauty, wellness, and home creators and tends to revisit collections before products spike.

Score
96
Products saved
84
Return visits
19
Helpful reviews
12
#2
Jordan Lee
Jordan Lee
@jordanfinds · Seattle, WA
31 collections revisited

High-frequency browser with unusually strong revisit behavior across travel and gear creators.

Score
92
Creators explored
18
Products clicked
143
Saves
61
#3
Elena Park
Elena Park
@elenapark · Los Angeles, CA
9 sessions in the last 14 days

Balanced activity profile with steady support across style, skincare, and creator-led brand launches.

Score
88
Products saved
49
Purchases
7
Reviews left
6
Metrics

What should count on a fan leaderboard?

A good fan page should reward high-quality participation. That means mixing activity, intent, support, and signal quality instead of choosing a single vanity metric.

Discovery

Creators followed, products clicked, categories explored, and return sessions. This measures whether a fan is actively moving through the ecosystem.

Intent

Products saved, collections followed, revisits to the same storefront, and wishlist behavior. This separates curiosity from actual buying intent.

Conversion

Confirmed purchases, repeat purchases, distinct creators supported, and purchase frequency. This is support, not a public spend race.

Community

Reviews, ratings, helpful votes, and any behavior that improves signal quality for creators and other fans.

Guardrails

Keep it credible. Keep it hard to game.

Use 7-day, 30-day, and 90-day windows instead of lifetime ranking alone.
Cap repetitive low-value actions so spam clicks cannot dominate the board.
Avoid showing exact public spend or raw GMV by default.
Normalize for account age on Rising Fans so newer accounts can surface.
Purpose

What this page is for

This page should help the product recognize high-value fan behavior, give creators clearer audience signal, and create a more meaningful status system than raw follower count.

It works best when it highlights multiple kinds of contribution: who is deeply engaged, who supports creators consistently, who has strong taste, and who is rising fast.

If you later connect this to live data, the UI already suggests the ranking model: one weighted score per board, each with transparent inputs and strong anti-gaming rules.