Customer Profiling and Segmentation of Sari-Sari Stores for Philippine Retail Brands

Customer profiling and segmentation on a sari-sari route

For a brand that sells through distributors, the customer is not the nanay buying a sachet of shampoo but the store she buys it from. Part of a store’s profile rarely changes, like its type and GPS pin. Part moves every week, like orders, shelf share and utang. Done right, these customer segments tell a sales lead which stores deserve the best rep’s time, where schemes turn into sell-out and how to split the quota.

Why the biggest sari-sari is often not Class A

Where the class comes from the area manager’s eye and an Excel tracker, the store that looks big and orders often becomes Class A. That gets two things wrong.

Big is not big for you. A rep tags the largest sari-sari on the barangay road as Class A, but it gives just 10% of its shelf to your category. For your brand, it is a small customer.

Selling well is not room to grow. A suki store may move a lot of your product, yet its shelf is full and the owner will not add a line. Two streets away, a smaller store sells less but could sell twice as much with a weekly visit and a wider range.

The fix is to give every outlet two scores and keep them apart: what it buys from you now, and what it could buy. Mix them and a busy store with no headroom passes for a growth store.

What Class A, B and C stores get

Settle what each class gets before you score a single store. A starting point:

Feed the class straight into the beat plan, so no rep crosses the city in traffic for a Class C store a Viber order can cover. Put trade promotion money where a discount adds sell-out. In a suki-and-listahan trade, share the classes with your distributors so they can give longer terms to a growth store that pays on time and watch the stores where utang keeps building.

What to put in each outlet profile

The four textbook types of customer segmentation each have a store version, and a full outlet profile takes some of each:

• Location (geographic):
  Island group, city, barangay, route and catchment. The rep drops a GPS pin and notes a nearby school, public market or jeepney terminal.

• Store type (demographic):
  Sari-sari, mini grocery, drugstore, convenience store or wholesaler (see general trade vs modern trade). Add selling space, ownership and who handles your category.

• Buying behavior (behavioral):
  Purchase history, meaning what it orders, how often, how it took past schemes and how it pays, utang included. This often follows RFM: recency, frequency and monetary value.

• Potential and owner attitude (psychographic):
  Category sales across all brands, your shelf share and whether the owner is open to new lines.

The rep or promodiser fills in what only the store can show. Order history comes from your distributors as secondary sales, the orders a distributor delivers to each outlet. That works only when the distributor invoice and your rep app share one outlet ID.

When two distributors encode one store as “Aling Nena Store” and “A. Nena Sto.”, its orders split across two records and neither looks big. Clean the outlet list before you score anything.

A short form every rep finishes beats a long one nobody does, and what goes on it depends on what you sell. In FMCG it is footfall and cooler space. For a drugstore in pharma, it is the clinics and prescriptions nearby. For a hardware or paint dealer in building materials, it is credit terms and project business.

How to class your outlets in five steps

1. Agree what the classes will drive. If a class does not change the visit, scheme, range or quota in the table above, drop it.
2. Score potential and current sales apart. Rate four things (catchment, category sales, space and owner attitude) at one point for low, two for medium and three for high. Scores run from 4 to 12. Rank current sales against similar stores in the territory: top third high, bottom third low. Tune the weights to your category.
3. Read the class off the grid.

   Potential score	Sells little now	Sells a middling amount now	Sells a lot now
   High (10 to 12)	Class B: growth store	Class B: growth store	Class A: grow and protect
   Medium (7 to 9)	Class C	Class B: steady	Class A: protect
   Low (6 or less)	Class C	Class C	Class A: protect and hold share

   A store that sells a lot today is always Class A, since that volume has to be protected. But a Class A store with low potential gets steady service, not extra selling time. If the team cannot cover every Class A store as planned, give weekly visits only to the top quarter by sales until it can.

4. Name one owner for the class. Reps gather the data but should not set the class, since a higher class brings their own stores more support. A sales operations or trade marketing analyst runs the scoring, and area managers check every store that changes class.
5. Pilot, then rescore on a calendar. Run the classes in one territory for a quarter and compare productive visits and sell-out with an area on the old classes. Then rescore quarterly, and sooner when a store is renovated or changes owner.

Example: a sari-sari beside a tricycle terminal

Picture a large sari-sari with a grocery counter beside a school and a tricycle terminal. It takes a few fast movers from you monthly through the distributor, so on looks and orders it is Class C. Its profile says otherwise. Catchment is high, and so are category sales, though mostly for other brands. Space is medium. Owner attitude is high, since the owner asked the rep about a new pack. That is 11 of 12 points, which makes it a Class B growth store. It now gets a fortnightly visit, an entry scheme on two core lines and a target set from its potential.

Where BeatRoute fits

BeatRoute is a sales force automation and distribution platform for retail brands, covering sari-sari routes, modern trade, chain pharmacies and van sales. Reps build store profiles in the BeatRoute SFA app during the visit. New stores get a geotag when they are onboarded, and likely duplicates are flagged. So Aling Nena’s store keeps one record, however many distributors serve it. Orders from the distributor management system add secondary sales to each store’s history. The Scheduling AI Agent then ranks each day’s outlet visits by falling sales, overdue orders and territory goals.

Classes pay off only when reps reach the stores. On the BeatRoute platform, Nurturemed Pharma raised PMR productivity by 20% (read the Nurturemed case study), and a leading paints brand in the Philippines reached 30% higher sales productivity (see the leading paints brand 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 shaping each rep’s route plan, request a demo.

Frequently asked questions