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Compare RFM, RRM and RFC →Book a demo

Time moves customers right. You move them up.

RFC is a segmentation model developed by Scnario. It places every customer by account age (Registration) against how often they buy and how many categories they have discovered (Frequency, Categories). Recalculated every day across 52 weeks of history with an 8-week prediction, it shows whether a customer is developing at the pace their age allows, and which step comes next.

−52 weeks history+8 weeks predictionmirrors RRM ↔
CUSTOMER #30518registered 52 weeks agoWEEK −51Prediction
(Frequency + Categories) / 2
Starters
Shooters
Rockets
Climbers
Masters
Legends
Snipers
Sleepers
← newer accountsRegistrationolder accounts →
RFC SEGMENTStartersFirst order placed
REGISTRATIONregistered this week1/5
FREQUENCY1 orders1/5
CATEGORIES1 categories1/5
RRM MIRRORWoods↓
RFC
RRM
−52w−39w−26w−13wNOW+8w
With a category-expansion scenario from week +1, the model expects a move to Masters by week +2, with RRM value rising to Titans.
Why we built RFC

RFM judges new customers too early.

RFM compares every customer against the whole base. An account registered twenty weeks ago cannot have the order history of a three-year customer, so RFM ranks it as one of many mid scorers, however well it is doing. RFC makes account age its own axis. Each customer is compared with what is realistic for their tenure, so a fast-developing newcomer shows up as a Rocket.

RFM reading#30518 · week −32
R5 · F2 · M2Potential Loyalist

Scored against customers with years of history. Frequency and value look average, so the account gets the same message as thousands of others.

RFC reading#30518 · week −32
Reg 2 · F4 · C3Rockets

Scored against accounts of the same age. Five orders across four categories in twenty weeks puts this customer near the top of their cohort. The job is to keep the momentum, not to start it.

The three dimensions

How long, how often, how wide.

RRegistrationweeks since account registration

The clock of the relationship. It only moves one way, at the same pace for every customer, and places them from newest to oldest.

X axisshared with RRM
FFrequencyorders in 52 weeks

How many orders in the rolling year. Shows whether a buying habit is forming for an account of this age.

Y axis · halfRFM uses it too
CCategoriesdistinct categories in 52 weeks

How many of your categories the customer has bought from. Shows how much of the range they have discovered.

Y axis · halfunique to RFC
01 · −52 WEEKSFrequency and categories are counted over a rolling year, so seasonal buyers are not mistaken for lost ones.
02 · YOUR OWN BASEEach dimension is scored 1 to 5 against your customers, recalculated every day.
03 · ONE CLOCKRegistration only moves one way. That makes the vertical position the part marketing can influence.
04 · +8 WEEKSThe model predicts each customer's next RFC segment and how likely the move is.
The RFC map

Eight segments, read from left to right.

Registration on the horizontal axis, the average of Frequency and Categories on the vertical. The left side is where relationships start, the right side is where they mature. Select a segment to see where its customers come from, where they go next and which scenario moves them up.

RFC Matrixshare of base · this week
Registration
12345
(Frequency + Categories) / 2
54321
Starters4.1%value index 25
Shooters1.9%value index 66
Rockets1.9%value index 120
Climbers5.6%value index 105
Masters17.7%value index 175
Legends20.6%value index 265
Snipers10.5%value index 60
Sleepers37.6%value index 50
moving upmoving downShares from a live base of 384,395 customers. Flows are demonstration data.
ClimbersReg 3 · FC 3–5

Mid-tenure customers still widening their basket. The bridge between young and mature accounts.

SHARE5.6%
VALUE INDEX105
RRM MIRRORGolds
COMES FROM
Rockets26%
Shooters12%
Snipers7%
MOVES TO · NEXT 8 WEEKS
Masters21%
Snipers11%
NEXT BEST SCENARIOCategory expansionIntroduce the next high-fit category and reinforce the purchase cadence.A regular rhythm across the categories already discovered.
The development path

From first order to Legend, one step at a time.

Every account moves right every day, whether you act or not. What changes the outcome is how high the customer is when they get there. Each step on the path has one job: make the next move up more likely than the drift down.

WHAT IT MEANSStartersNew accounts with a first, narrow purchase. The relationship is only weeks old and still open in every direction.
GOAL FOR THE NEXT STEPA second order in a second category within the first weeks.→ next: Shooters
SCENARIOOnboarding and range discoveryShow the range beyond the first category and give one clear reason for a second order.
RRM MIRRORWoodsYoung accounts, low value so far.
VALUE INDEX25
WHERE PATHS STALLSnipers↔Dusts
Customers who came for a specific need, bought in one or two categories and stopped widening as their account aged.
WAY BACKCross-sell from the dominant category
WHERE PATHS STALLSleepers↔Rusts
Mature accounts with low frequency and a narrow range. Usually the largest group in the base.
WAY BACKWake-up, then suppression
RFC ↔ RRM

Two maps, one clock.

RFC and RRM share the same horizontal axis: Registration. RFC measures breadth, how often and how widely a customer buys. RRM measures value, how recently and how much. The same customer moves right on both maps at the same speed, so the two positions can be read side by side, day by day. Hover a segment to see its mirror.

#30518 · WEEK −51
RFCbreadth · (F + C) / 2Starters
Starters
Shooters
Rockets
Climbers
Masters
Legends
Snipers
Sleepers
RRMvalue · (R + M) / 2Woods
Woods
Coppers
Silvers
Golds
Irons
Titans
Dusts
Rusts
SHARED AXIS · REGISTRATION →
MIRROR PAIR · #30518 WEEK −51
StartersNew accounts with a first, narrow purchase.
WoodsYoung accounts, low value so far.
DISCOVERY LEADS, VALUE FOLLOWSRFC reached Rockets in week −32. RRM reached Golds in week −20. Value followed breadth by 12 weeks.A rise in RFC is an early signal for RRM. A stall in RFC is an early warning for it.
Segment mirrors
StartersWoods
ShootersCoppers
RocketsSilvers
ClimbersGolds
MastersIrons
LegendsTitans
SnipersDusts
SleepersRusts
WHEN THE MIRRORS DISAGREE · RFC HIGH, RRM LOWWide basket, small spend.The customer explores the range but keeps orders small. The next step is basket value: bundles and premium lines in categories they already use.
WHEN THE MIRRORS DISAGREE · RRM HIGH, RFC LOWBig spend, narrow range.High value concentrated in one or two categories. The next step is cross-sell from the dominant category, read through CD.
Read the value side in RRM →
Building LTV

Breadth today, value tomorrow.

Customers who discover more categories stay longer and spend more, so every step up in RFC is an early signal of future value in RRM. Scnario uses the 52-week history to see how each customer got where they are, and the 8-week prediction to start the next step before momentum fades.

Average 52-week spend by RFC segmentindex · base average = 100
Legends265
Masters175
Rockets120
Climbers105
Shooters66
Snipers60
Sleepers50
Starters25
Dashed line marks the base average. Values from a live base of 384,395 customers.
The LTV cycle
01DiscoverRFC ↑ new category
02MonetiseRRM ↑ basket value
04Expandnext high-fit category
03Settlerhythm across categories
LTV
Explore the product

One customer base, several ways to read it.

RFM
RFMRecency · Frequency · MonetaryWho buys recently, often and for how much, read day by day.
RRM
RRMRegistration · Recency · MonetaryHow quickly customers grow the value of their orders after acquisition.
RFCYou are here
RFCRegistration · Frequency · CategoriesHow quickly customers discover your offer across categories after acquisition.
CD
CDCategory DistributionClusters customers with similar purchase patterns across categories.
LC
LifecycleRegistration → WinbackWhere each customer is in the relationship, from registration to reactivation.
AU
AudiencesBuilt on every segmentYour own definitions built on every report, ready for communication and tracked day by day.
Your customers are already moving.

Give every relationship the right next scenario.

See how Scnario can turn your customer data into a living understanding of every relationship — and a clear decision about what should happen next.

MOVING RIGHT NOW
Registered → First purchaseonboarding
Repeat → Loyalcategory growth
Loyal → Declinevalue protection
Inactive → Renewed intentreactivation