TL;DR Customer profiling records the facts about each outlet: where it sits, what it stocks and what it buys from you. Segmentation sorts outlets into classes, usually A, B and C, that set how often a rep calls. In Kenya and Nigeria you usually build the outlet list yourself first, because many dukas and kiosks have no street address.
Many reps in Lagos or Nairobi class their route by eye. The big provision store on the main road becomes Class A and the tabletop seller at the bus stop becomes Class C. Then the tabletop seller, who restocks at the wholesale market twice a week, outsells the provision store.
Customer profiling is the facts, segmentation is the decision
Customer profiling and segmentation means recording the facts about every outlet you sell to, then grouping those outlets so each group gets the coverage it is worth.
For a brand that sells through distributors, your customer is the outlet: the duka, kiosk, provision store, chemist or wholesaler on the route. Many teams in Kenya and Nigeria call the second step outlet classification. A class tells you how often to call, which schemes it gets and which range it carries.
Build the outlet list yourself when shops have no address
You build it with an outlet census, which many teams call field KYC. Kenya and Nigeria rarely have an outlet database you can buy, so profiling starts a step earlier.
Reps walk each route, geo-tag every shop, photograph it and note its format and owner. That census is the base of your route-to-market plan. Shops open, close and move, so a list nobody refreshes soon stops matching the street.
The census also finds shops that do not buy from you yet, and a retail audit of their type, size and shelf shows which are worth a call.
Why the biggest shop on the road can be the wrong Class A
A big shop is not a big share. The largest provision store on the road looks like Class A. But if it gives only 10% of its shelf to your category, it is a small customer for you.
Busy today is not room to grow. A kiosk may already move a lot of your product, yet its shelf is full and the owner will not take another line. A quieter duka two streets away sells less, but it could sell twice as much with more calls and a wider range.
So score every outlet twice: what it buys from you now and what it could buy. Never blend the two, or a full kiosk looks like a growth outlet.
What to record on each duka, kiosk or provision store
Marketers name four types of customer segmentation: geographic, demographic, behavioral and psychographic. Each has an outlet version, and a useful profile carries some of each.
- Where it sits. Region, town, route and the GPS point from the visit. Note what brings people past the door: a school, a church, a matatu stage or an open market.
- What kind of outlet it is. Kiosk, duka, provision store, chemist, wholesaler or supermarket, with its selling space and whether the owner runs the counter.
- How it buys. Which lines it orders, how often and how much (RFM: recency, frequency, monetary value), how it answered past schemes, and whether it pays cash or takes credit. Add shelf price and the pack sizes on display: after a sharp price rise, shops often trade down to smaller packs.
- What it could sell. Record its category sales across all brands, your share of its shelf and the owner's appetite for new lines.
Order history comes from distributors as secondary sales: what each distributor delivers to each outlet. They land on the right shop only when the distributor invoice and your rep app share one outlet ID. If not, ‘Alex Super Store’ and ‘Alex Sup St’ become two records and neither looks worth a weekly call. Clean the list before you score anything.
Keep the form short enough to finish on a normal call. The fields that matter depend on the trade: cooler space for FMCG, nearby prescriptions for a chemist in pharma, credit terms for a hardware dealer in building materials.
Score and class every outlet in five steps
- Agree what a class will change. List the decisions it drives: call frequency, rep, schemes, range and targets. Drop any class that changes none.
- Score potential and current sales apart. Rate catchment, category sales, space and owner attitude at one point for low, two for medium and three for high. Every outlet lands between 4 and 12. For sales, compare each outlet with similar shops in its own territory: the top third is high, the bottom third low.
- Read the class off the grid below.
- Keep the scoring off the route. A higher class brings more support to a rep's own shops, so reps collect the data but do not set the class. An analyst in sales operations or trade marketing scores, and area managers check every outlet that moves.
- Pilot it, then rescore on a calendar. Run the classes in one territory for a quarter and compare its strike rate and sales with a territory on the old classes. Then rescore every quarter, and sooner when a shop is rebuilt or changes hands.
| Sales today | Potential high (10 to 12) | Potential medium (7 to 9) | Potential low (6 or less) |
|---|---|---|---|
| High | A: grow it and defend it | A: defend it | A: hold your share |
| Medium | B: growth outlet | B: keep it steady | C |
| Low | B: growth outlet | C | C |
If reps cannot reach every Class A outlet as planned, count only the top quarter of sales as high until they can.
Example: a duka near a matatu stage
Picture a mid-size duka on a busy Nairobi road, near a primary school and a matatu stage. It orders a few fast movers once a month, so on size and past orders it is Class C. Its profile says otherwise. Catchment is high. Category sales are high, mostly for other brands. Space is medium. Owner attitude is high: she runs the counter and asked the rep about a new pack.
That is 11 out of 12, so it becomes a Class B growth outlet. It now gets a call every two weeks, not once a month, plus an entry scheme on two core lines and a target set from its potential.
What changes for a Class A, B or C outlet
Calls. Class A gets a fixed weekly call to protect stock, display and share. Class B gets one every one or two weeks, with time to sell in new lines. Class C gets a monthly call, or orders by phone or WhatsApp. Feed the classes into the journey plan, or call cycle, and judge it on strike rate and lines per call.
Schemes. A trade promotion sent to every outlet often gets pocketed. Class A gets display and loyalty schemes, growth outlets get entry and trial schemes, and Class C gets simple volume offers through the distributor. Share the class list with distributors so scheme claims are checked against real shops.
Range and launches. Class A carries the full range, Class B the core lines plus the next best fit, Class C the fast movers. Launch first where the profile suits the product.
Targets. Split the territory target by class: a Class A outlet near its ceiling cannot grow as fast as a growth outlet.
How BeatRoute turns outlet classes into calls
BeatRoute is a sales force automation and distribution platform for retail brands. Reps fill in outlet profiles in the BeatRoute SFA app during the visit. New outlets are geo-tagged at onboarding and likely duplicates are flagged, so one shop keeps one record. Orders from the distributor management system add secondary sales to each outlet's history. The Scheduling AI Agent then suggests which outlets each rep should visit first, using signals such as overdue orders.
AAVA Brands in Nigeria uses BeatRoute SFA and DMS, and on the BeatRoute platform it grew store-level sellouts 25–30%. Read the AAVA Brands case study.
BeatRoute suits brands whose reps sell to many retailers through distributors and want distributor management on the same platform. To see outlet classes shape a journey plan, request a demo.
Frequently asked questions
Is customer segmentation the same as market segmentation?
No. Market segmentation divides every outlet in a territory, including shops that have never bought from you. Customer segmentation groups only the outlets you already serve. One good census lets you do both.
How many outlet classes should a brand use?
Three or four. With more, reps forget the rules and two classes end up treated alike.
How is a customer profile different from a persona?
A profile is the record of one real shop, such as the chemist opposite the bus park. A persona is an invented type that sums up a class, such as “the owner-run kiosk that buys on credit”. An ideal customer profile is the kind of outlet you most want to add.
Does outlet profiling raise data privacy questions?
Most of a profile is business data. Owner names, phone numbers and shop photos can be personal data. Ask the owner first, keep only what you need, and follow each country's data protection law.
