A–Z reference of core terms used throughout the book.

A

API — A digital doorway that lets one program speak to another to exchange information automatically.

Automation — Tasks carried out by machines instead of people, often faster and without sleep.

B

Behavioural Data — Information that shows what people actually do, not just what they say.

Brand Loyalty — When customers keep buying the same brand even if alternatives are cheaper.

C

Cannibalisation — When a new product steals sales from an older one instead of growing the category; the pie stays the same size.

Conversion — When interest becomes action; e.g., a shopper buys or a buyer signs.

CSV — A simple text file format for tables of data.

D

Dashboard — A digital page where key numbers and trends are shown visually.

Demand — How much people want a product or service.

E

Elasticity (Price Elasticity) — How much demand changes when price changes. If people stop buying when price rises, it’s very elastic. If they keep buying, it’s inelastic.

Economies of Scale — Costs decrease as volume increases.

F

Footfall — How many people walk into a shop.

G

Gauteng — Major South African commercial province referenced in real-estate stories.

H

Habit Products — Goods people buy automatically without thinking much (e.g., washing powder).

Heatmap — A chart where colour shows intensity — e.g., hot markets vs stagnant ones.

I

Inelastic — When demand barely changes as price changes.

Index — An alphabetical list of topics with page locations.

J

Just-In-Time (JIT) — Inventory arrives only when needed; lowers holding cost but increases risk.

K

KPI — Key Performance Indicator; an important number for judging progress.

L

Listing (property) — A home advertised for sale or rent.

Lead Generation — Activities to find potential customers.

M

Margin — The money left after costs. Retail lives and dies by this.

Market Share — Your portion of total industry sales.

N

Night Scraping — Automatically collecting competitor data while stores sleep.

O

Octoparse — A tool that collects data from websites automatically.

Overstock — Too much inventory tying up cash.

P

Pivot Table — A spreadsheet feature for summarising data quickly.

Price Sensitivity — How easily demand shifts when price changes.

Private Property / Property24 / MyRoof — South African property listing portals.

Python — A programming language used for data collection and analysis.

Q

Qualitative Data — Non-numerical information (e.g., opinions).

R

Range Design — Deciding which products to stock and how many.

Real Estate — Property business including buying, selling, renting homes.

Retail — Selling products to customers, often in shops.

S

SKU (Stock Keeping Unit) — Unique item identifier; e.g., brand + size.

Shop-outs — Visiting competitor stores to record prices and displays.

Scraping — Automatically collecting website data.

Stockout — When an item is unavailable for customers.

T

Time-on-Market — How long a property stays listed; signals demand strength.

Trade-off — Choosing one advantage at the expense of another.

U

Underlying Demand — Real need unaffected by hype or promotions.

V

Value Chain — All steps that create value, from raw inputs to customer.

W

Walton, Sam — Founder of Walmart; champion of competitive observation.

Washing Powder — Example of inelastic retail item.

X

Y

Z