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Customers who buy alike, behave alike.

Category Distribution reads what each customer buys and how much they spend, then groups customers with the same pattern into named clusters. Every cluster is a purchase profile. It is recalculated every day across 52 weeks of history with an 8-week prediction, so you can see profiles form, change and repeat.

−52 weeks history+8 weeks predictionbuilt on SAT categories ↓
CUSTOMER #3051811 clusters · 384,395 customersWEEK −51Prediction
Monetary · 52 weeks →
HAIR & BODYSKINCAREMAKEUPFRAGRANCEMEN
CD CLUSTERSkincare (Small)Profile since first orders
SAT DISTRIBUTION · MONETARY %
Skincare58%Makeup12%Fragrance6%Haircare8%Body & bath12%Men’s grooming4%
MONETARY$1,168 / 52 wks
−52w−39w−26w−13wNOW+8w
With a routine-bundle scenario from week +1, the model expects #30518 to stay in Skincare & Makeup and keep growing spend towards the Large cluster.
The foundation · SAT

Your catalogue, mapped to categories that know their calendar.

Every product in your catalogue is mapped to Scnario's own category taxonomy, SAT. Each SAT category carries three signals learned from your sales: Seasonality, Anomaly and Trend. The system knows when a category is in season, when a week is out of the ordinary, and which way demand is heading. CD clusters are built on these categories, so a profile always comes with a calendar.

Your productSAT categorySignals this week
Vitamin C serum 30 mlSkincare › SerumsS · stableA · noneT · ↑
Eau de parfum 50 mlFragrance › Women’s EDPS · enteringA · noneT · →
SPF 50 face fluid 50 mlSkincare › Sun CareS · peakA · noneT · ↑
Long-wear foundation 30 mlMakeup › FaceS · stableA · noneT · ↑
Anti-dandruff shampoo 400 mlHaircare › ShampooS · stableA · noneT · →
Gift set: shower gel + lotionBody & bath › Gift SetsS · enteringA · spikeT · ↓
SSeasonalitySkincare › Sun CareOFF

Each category has its own season curve. Scnario knows whether it is off season, entering, at peak, leaving or stable, day by day.

AAnomalyFragrance › Gift Setsflagged

A sudden spike or drop is flagged, so a one-off promotion or a stock gap does not rewrite anyone's purchase profile.

TTrendSkincare › Serumsrising

The long-term direction of each category, so plans lean on growing demand instead of chasing lines that are fading.

From distribution to clusters

Eleven profiles, each with a name you can plan around.

CD looks at how each customer's spend is distributed across SAT categories and how large that spend is. Customers whose distributions sit close together form a cluster. The name says what drives their value and at what scale, so "Skincare & Makeup (Small)" is a brief anyone on the team can act on. Select a cluster to see its profile and its nearest neighbours.

Skincare & Makeup12.1% · 46,512 customers

Beauty regulars who buy both care and colour. A wide basket and high value, built on two routines.

SAT DISTRIBUTION · SHARE OF MONETARY
42%36%
Skincare42%Makeup36%Fragrance10%Haircare4%Body & bath6%Men’s grooming2%
MONETARY INDEX170
Dashed line marks the base average (100).
NEAREST PROFILES
Closest distributions. Customers most often move between neighbours.
NEXT BEST SCENARIORoutine bundles: care and colour together, with new launches in the lines they already use.
−52 weeks · +8 weeks

Profiles change. The way they change repeats.

A cluster is a snapshot of one week. Over 52 weeks, customers move between clusters as seasons turn and routines grow. Five customers who started months apart look unrelated on a calendar. Line them up by their first order and the same path appears. When the model has seen a path before, it can tell where the next customer on it is going.

Five customers, one path
#08213Skincare & Makeup
#14502Skincare & Makeup
#21977Skincare & Makeup
#27340Skincare & Makeup (Small)
#33061 · newestSkincare
−52w−39w−26w−13wNOW+8w
Skincare (Small)→Skincare→Skincare & Makeup (Small)→Skincare & Makeup→On the calendar, #33061 is in Skincare. The four customers ahead of it predict the next step.
01 · SEASONS PULLSAT knows when sun care peaks and when fragrance gifting starts. A Body & bath customer leans towards after-sun in summer and gift sets before Christmas, and the plan follows.
02 · ROUTINES GROWA skincare routine adds makeup, then fragrance. The cluster sequence tells you which step of the routine the customer has reached.
03 · PATTERNS PREDICTPaths that repeat across the base become the 8-week prediction: the next cluster for each customer and how likely the move is.
From cluster to message

Who they are, what to say, and when.

The cluster tells you who the customer is. SAT tells you which categories to talk about and where each one is in its season. Together they make a ready category plan for every cluster, ranked by predicted conversion and refreshed every day.

#SAT categoryStrategySeason phasePredicted conversion
01SkincareSerumsGROWTH WAVESTABLE31.27%
02SkincareSun CareCLEARANCEPEAK26.18%
03MakeupFace PrimersPRE SEASONSTABLE22.05%
04SkincareNight CreamsSEASON OPENENTERING19.44%
05Body & bathHand CareDEFENDLEAVING17.63%
Top 5 SAT categories for Skincare (Small) this week. Conversion values are demonstration data.Open the full plan in MarCom CD →
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.
RFC
RFCRegistration · Frequency · CategoriesHow quickly customers discover your offer across categories after acquisition.
CDYou are here
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