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Automatic RFM: 11 fan profiles for live events

Automatic RFM: 11 fan profiles for live events

Section titled “Automatic RFM: 11 fan profiles for live events”

The RFM model has been one of the most effective segmentation frameworks in retention marketing for decades. Nevent applies it automatically to your fan base and delivers 11 pre-built profiles you can use directly in your campaigns. No formulae, no manual configuration: simply select the profile and your audience is ready.

What is the RFM model and why does it work for live events?

Section titled “What is the RFM model and why does it work for live events?”

RFM measures three things for each fan:

  • Recency: when did they last buy a ticket? A fan who bought three weeks ago is very different from one who bought 18 months ago.
  • Frequency: how many times have they bought? A fan who comes to four events a year is more valuable than one who comes to one.
  • Monetary: how much have they spent in total? A fan who always buys VIP weighs more than one who only buys a basic ticket.

Combining all three dimensions, Nevent calculates a unique profile for each fan. The model is particularly powerful for live events because Recency carries a lot of weight: a fan who comes every year but has not bought for 14 months may be at risk of churning, even if they were an excellent customer in the past.

The 11 automatic profiles and how to use them

Section titled “The 11 automatic profiles and how to use them”
ProfileWho they areWhat messaging works for them
ChampionsHigh recency, high frequency, high spendEarly access, exclusive VIP treatment
Loyal CustomersHigh frequency and spend, recent purchaseLoyalty reward, retention programme
Potential LoyalistsRecent purchase, growing frequencyInvitation to grow: “you are almost a regular”
New CustomersRecent purchase but only onceWelcome message and onboarding content
PromisingRelatively recent purchase, untapped potentialOffer for a second purchase or upgrade
Need AttentionMedium frequency and spend, falling recencyValue reminder: “it has been a while”
About to SleepLow recency, previously activeGentle nudge before they go cold
At RiskFormer Champions or Loyal Customers, now inactiveUrgent personalised reactivation campaign
Can’t Lose ThemVery high historical value, long time since last purchaseSpecial recovery offer, personal outreach
HibernatingLow value and very low recencyLow-cost campaign or temporary exclusion
LostNo activity for a long timeConsider a list cleanse or a last-chance campaign

Champions are your best fans: they bought recently, come frequently and spend above average. Imagine you have a fan base of 60,000 fans across Madrid and Barcelona and you want to launch an exclusive presale for an electronic music concert: Champions are the first audience you should communicate with, giving them access 48 hours before the general public. They do not need discounts: they respond to exclusivity and recognition.

Why pay special attention to “At Risk” and “Can’t Lose Them”?

Section titled “Why pay special attention to “At Risk” and “Can’t Lose Them”?”

These two profiles represent fans who had excellent past behaviour but are beginning to stop buying. Losing them is costly because replacing them requires acquiring new fans. Imagine you have 800 fans classified as “At Risk” in your database: they were Champions two years ago but have not bought for more than 8 months. A personalised reactivation campaign, perhaps referencing the events they attended and including a concrete incentive, can recover between 15% and 30% of that audience.

Can I combine an RFM profile with other criteria?

Section titled “Can I combine an RFM profile with other criteria?”

Yes. RFM profiles are a starting point, not a limit. For example, you can take the “At Risk” profile and add a city filter (Madrid) and a preferred genre (indie) to create a hyper-specific campaign. Or combine “Champions” with “has a ticket to the next event” to exclude them from the sales campaign and instead send an exclusive welcome message.

  • RFM classifies fans by when they last bought (R), how often they buy (F) and how much they have spent (M).
  • Nevent calculates the 11 profiles automatically: from Champions to Lost.
  • The most urgent profiles for retention are “At Risk” and “Can’t Lose Them”.
  • You can use profiles directly or combine them with other criteria for greater precision.

The RFM model was introduced in direct marketing literature in the early 1990s. For its original reference, see the work attributed to Bult and Wansbeek on RFM in database marketing, as documented by Optimove, one of the leading references for its application in retention marketing.