← Kairos MBA MasterclassAll programsHomeSearch
Kairos MBA Masterclass·24:12

First-Principles Problem Solving: the December Pricing Model (12 Factors, 3 That Matter) and a Jan-Mar Marketing Plan

Anand Menon Analytics trainer - heads strategy, special projects and international business at Wakefit; ex Flipkart (kids fashion P&L) and Sephora India; IIM Kozhikode

The short version

  1. First principles: break a problem to fundamental truths and rebuild - Musk on rocket parts, chefs on flavour pairs. In business: narrow 'reach every customer in India' to the cohort easiest to convert (0:00-0:05).
  2. Case 4, December sale pricing across 500+ SKUs: twelve candidate factors, but seasonality, SKU-level margin and overall profit give 75-80% accuracy - Pareto applied to the model itself. Do not build the all-inclusive model (0:05-0:16).
  3. Case 5, marketing plan for new lip gloss and nail paint: online chain of geo split (shift budget from saturated Bangalore to Delhi headroom), pin-code and affinity targeting, channel ROAS, audience size, reach x frequency = impressions; offline via a store map to place outdoor ads and pop-ups. Approach over answer (0:17-0:26).

At a glance, three clicks deep

Skim here first: the closed row is the glance, open is the study card with the key points and timestamps, and the ↓ link drops to that concept's full write-up below.

01First principles in business problemsFundamentals first, then rebuild.›

Fundamentals first, then rebuild.

Definition and uses (0:00-0:05)

↓ Full write-up of this concept

02The December pricing model: twelve factors, three that carry itSeasonality + margin + profit floor.›

Seasonality + margin + profit floor.

Twelve factors (0:05-0:12)

Three-factor model (0:12-0:16)

↓ Full write-up of this concept

03A marketing plan from the data: online chain and offline mapGeo -> pin code -> affinity -> channel -> reach x frequency.›

Geo -> pin code -> affinity -> channel -> reach x frequency.

Online (0:17-0:21)

Offline (0:21-0:26)

↓ Full write-up of this concept

The concepts in full

01

First principles in business problems

A chef does not need the recipe book. He knows which flavours go together and rebuilds the dish.

Break the problem to its most fundamental truths ('like an atom') and rebuild. Musk: why are rockets expensive, what do the parts cost, why not reuse them. Business uses: category sales and root cause, customer and channel growth (narrow 'reach every Indian' to buyers of similar categories who have not bought yours), supply-chain forecasting, finance alerts, strategy.

Why it matters

The thinking tool promised in Chapter 1.

This idea elsewherebuilds onWhy-first thinking
02

The December pricing model: twelve factors, three that carry it

Twelve things affect the right discount. Three of them get you to eighty percent. Build the three.

Case: head of planning, 500+ SKUs, 11 subcategories, maximise revenue while hitting the bottom-line plan. Twelve factors: historical sales, seasonality, discount sensitivity (does +1% discount lift sales 1% or 5%), competitor pricing, SKU margins, planned profit, price thresholds (never sell moisturizer below Rs 1,500), marketing spend, other income (brand-placement income redirected into discounts), inventory, brand value (Nike avoids 60-70% off), annual plan. His tested shortcut: seasonality + SKU-level margin + overall profit give 75-80% accuracy - seasonality gives upside, margin stops negative-margin SKUs, profit sets the floor, then maximise revenue. Do not build the all-inclusive model.

Why it matters

Pareto applied to model design, which is where most analysts over-build.

03

A marketing plan from the data: online chain and offline map

Bangalore is 80-85% saturated. The next rupee goes to Delhi, to the pin codes that make the Pareto of searches.

Case: head of marketing, lip and eye makeup strong, launching lip gloss and nail paint, plan Jan-Mar. Online: geography split (Bangalore, Hyderabad, Chennai are 55-60% of revenue; check saturation and move budget to headroom cities), pin-code targeting (the pin codes behind most searches), affinity targeting (related-category search volumes - fashion jewellery, premium fashion), channel investment and ROAS (Google, YouTube, Meta), audience size, budget, reach x frequency = impressions. Offline: map stores and counters on a city map and place outdoor ads or short-term pop-ups in dense shopper clusters. The lesson is the approach, not the numbers.

Why it matters

Shows the data behind each line of a plan that usually gets written by feel.

Tools referenced

ToolCoverageMomentContext
Google Adsexplained
YouTubeexplained
Meta Adsexplained
Nikementioned

Action items

    Resources mentioned

    Resources
    • docLesson page on the platform

    Extraction notes

    This page was built from an auto-generated transcript, which garbles product and people's names. Those were corrected silently in everything above and logged here for transparency. The warnings flag claims that were true on the recording day but change fast.

    Transcript corrections applied

    The transcript saysThe trainer actually means
    risk pickrecipe
    SQL thresholdsSKU price thresholds
    test case / SQ / SQLSKU
    GMBGMV
    average selling pointaverage selling price (ASP)
    1 0 1 / 2 0 1101 / 201

    True on recording day — verify before relying