---
title: How does the Fan Rating Algorithm work?
description: Here's a quick overview of how the Tradable Bits 5-star fan rating algorithm works and how to leverage this data.
---
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# How does the Fan Rating Algorithm work?
## Here's a quick overview of how the Tradable Bits 5-star fan rating algorithm works and how to leverage this data.
Every fan in your Fan CRM has a unique star rating from 1 to 5. This rating provides an easy way to see at a glance who your most active, engaged, and valuable fans are.
Here is a breakdown of how our algorithm calculates these scores, how fan ratings can increase, and how you can use this data.
### What goes into a Fan Rating?
Our algorithm automatically assigns a score by looking at a mix of a fan's online and real-world interactions. The more a fan interacts with your brand, the higher their rating.
For a fan's rating to increase, they need to actively and consistently engage with your brand. Because the algorithm prioritizes recent activity, the best way to maintain and grow a high rating is through **frequent, ongoing engagement** rather than isolated, one-off interactions.
We look at key data points when calculating scores, including things like:
- **Scan Data:** When fans scan their tickets at the gate or scan QR codes at on-site activations, this real-world attendance data directly boosts their rating.
- **Purchases:** Buying tickets, merchandise, or other offerings.
**Note:** If a fan buys during a slower, off-peak season, it gives a larger boost to their score than buying during highly popular, busy periods.
- **Digital Participation:** How many campaigns or contests they have entered, and how often they interact with your digital content.
- **Profile Completion:** How thoroughly their Tradable Bits fan profile has been filled out.
### How scores adapt over time
A fan's rating is updated daily to give you a live look at their recent fandom as you gather more data and run more engagements. The system is designed to be fair and prioritize recent, consistent engagement over old, infrequent interactions.
- **The "Freshness" Factor (Decay Model):** Think of a fan's score as having an expiration date. If a fan stops interacting with your brand, their score will gradually decline. **After one full year of no activity, their rating is cut in half.** However, the moment they scan a ticket, enter a contest, or engage with you again, their score immediately bounces back up.
- **Timing Matters (Seasonality):** Our system compares a fan's action to the average fan activity for that specific month. Engaging during a slow period, or off-peak, is worth more points than engaging during a highly popular, busy period. This helps you identify and reward your true-blue, year-round supporters.
### How to search for fans by their rating
You can easily pull lists of your top-tier fans, or identify low-rating fans that might need a targeted re-engagement campaign.
1\. Head to the **Fan CRM\>Search** and open the **+Add Parameter** menu
2\. Enter **General \> Fan Metrics \> Minimum Fan Rating**
3\. Choose the minimum star rating you want to look for. (For example, selecting "4" will pull up all fans with 4 or 5 stars).
4\. Click **Save**
**5.** Hit the **Search Fans** button
**Fan CRM Search view:**
**Fan Details view:**
**%205.36.18%20p.m..png?width=629&height=309&name=Captura%20de%20pantalla%202026-09-30%20a%20la(s)%205.36.18%20p.m..png)**
**Pro Tip:** Search for your lower-rating fans in the CRM to identify segments that need to be targeted for re-engagement.
**If you have any further questions, please reach out to your Customer Success Manager or contact [support@tradablebits.com](mailto:support@tradablebits.com)**
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