Feature · Segments

Who to contact, and in what order

Segments is customer segmentation software built on RFM — it derives who to contact, in what order, and when from how each segment actually behaves over the window you're reading, against the period before it — not from fixed day counts borrowed from somewhere else.

app.amicited.com/reports/segments
Campaign plan table ranking segments by expected value, with intent, repeat rate and average gap between orders
Segment migration matrix showing which customers moved between RFM buckets
195 acquired, 18 moved, 0 held their bucket — the diagonal of the migration matrix is everyone who stayed exactly where they were.
Ranked by expected value

Each segment sets its own clock

Champions, At risk, Loyal, Hibernating, New and Lost are drawn from this shop's own median gap between orders, not a convention. A customer's bucket uses their whole order history, not just this window, so a champion doesn't get demoted for a quiet thirty days. Whichever rule a customer matches first is the one they get, and the campaign plan by segment ranks every one of them by what reaching it could be worth.

  • Campaign plan — segments ranked by revenue per customer, discounted by the share that ever orders again, each with its own average gap between orders.
  • Segment rules, from the shop's own data — built on this shop's median 9-day gap between orders: Champions (3+ orders, last within 9 days), At risk (9-18 days since last), Loyal (2 orders, last within 9 days), Hibernating (18-36 days since last), New (1 order, within 9 days), Lost (36+ days).
  • 21 ways to cut the same customers — value and margin, lifecycle and timing, acquisition, and behavior groupings, from basket size and category breadth to discount habits and carrier preference.
  • Ranked by who you can actually reach — the priority order is expected value adjusted by the share of the segment with a real, unmasked email on file, so a segment nobody can be emailed doesn't outrank one that's reachable.
  • Cross two axes — pick a second way to slice the same customers; cells are shaded by revenue relative to the highest cell present, and nothing runs until you choose the second axis.
  • Who moved between segments — one date's bucket against today's, rows where they were and columns where they are now, the diagonal is everyone who stayed put.
  • Your own segments — write a rule for the cut none of the axes make, like paid cash on delivery, over 500 EUR, no order in 60 days.
  • The customers themselves — every customer in a segment, newest identity from their last order, exportable as CSV.
The campaign plan, row by row

Four segments, four different plays

Loyal customers with a 100% repeat rate get a cross-sell; At risk customers, still repeating at 2.8%, get a nudge before the gap becomes a habit. New and Hibernating carry no repeat evidence yet, so their expected value sits at zero until they prove it either way — that's a real zero, not a missing number, and one-time buyers don't get an invented gap to fill it in. Read the average gap next to its repeat-buyer count: a gap measured from two buyers is a weaker signal than the same number measured from twenty, even though the table shows the same figure either way.

Campaign plan (EUR)
Loyal3 customers · 100.0% repeat · avg. gap 6.7 days 142.61
At risk72 customers · 2.8% repeat · avg. gap 7.0 days 51.33
New91 customers · no evidence yet 0.00
Hibernating35 customers · no evidence yet 0.00
Expected value = per-customer revenue, discounted by repeat share.
Your own segments
any rule
Define
COD, >500 EUR, 60d+ silent
Example
CSV, any segment
Export
newest, from last order
Identity used
Button: New definition.
Beyond the axes

Write the rule the axes don't make

RFM, cross-tabs and the migration matrix cover most questions, but not all of them — 'paid cash on delivery, spent over 500 EUR, hasn't ordered in 60 days' is a real campaign with no axis of its own. Your Own Segments is a rule you write once; The Customers Themselves lists every member of any segment, newest identity from their last order, exportable as CSV.

Read the flows, not just the totals

Color means movement, not a verdict

In the cross-tab, a darker cell shows where this shop's revenue mass sits, not performance against a benchmark — empty cells just mean nobody made that combination. In the migration matrix it's the same rule: color means movement only. Before calling a shift behavioral, check the boundary-drift warning — this shop's own median gap moved from 90 to 9 days over the window, so part of the flow below is that ruler moving, not customers changing.

  • Cross-tab shading is relative — darker means more of this shop's revenue, not a score against an external benchmark.
  • Migration color means movement only — inspect the direction, the new-acquisition row, and the contribution behind it before reading a trend into it.
  • A boundary can drift under you — if the segment rule itself changed between the two dates being compared, the card says so, and some of the apparent movement is that, not customer behavior.
  • Long tails fold into "Other" — real economics, but not a drillable list of names.
Who moved, last 30 days
New → At riskdrifted past the shop's own 9-day gap 17
New → Lostno order in 36+ days 1
Had not ordered → Newfirst order landed this window 91
Had not ordered → At riskacquired, already slow to repeat 72
Had not ordered → Hibernatingacquired, already gone quiet 29
Had not ordered → Loyaltwo orders inside 9 days 3
The diagonal — everyone who held their bucket — was 0 this window, because the shop's own gap boundary moved from 90 to 9 days across the same period being compared.
9 days this shop's own median gap between orders Every segment rule in the Campaign Plan — Champions, At risk, Loyal, Hibernating, New, Lost — is built on that number, not a fixed convention borrowed from elsewhere. See Replenishment

Know who to contact, in what order

Segments ranked by expected value, cross-tabulated by any two axes, tracked as customers move between buckets, and exportable to CSV.

app.amicited.com/reports/segments
Campaign plan table ranking segments by expected value, with intent, repeat rate and average gap between orders

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