India · Category growth & conversion

Connecting Category Intent With More Valuable Fashion Purchases

AJIO

Illustrative case study · Synthetic data

An illustrative growth model, not verified client results.

The activities and performance figures below are hypothetical. They do not establish a Palledian engagement or an endorsement by AJIO.

THE CHALLENGE

NAME THE
REAL CHALLENGE.

Grow relevant category demand and first-time purchasing while reducing the gap between an attractive offer, a completed purchase and a commercially worthwhile customer relationship.

Price-led demand can bring visitors quickly, but a shopper still needs to understand the product, the final payable price, available sizes and the delivery proposition. In this hypothetical brief, the challenge was to make acquisition and merchandising work together rather than allowing traffic growth to outrun the quality of the shopping journey.

Scope of the model

A hypothetical fee-based seller-assortment scenario covering selected Indian fashion categories. This is a modelling choice, not a description of AJIO’s actual inventory ownership or accounting arrangements.

MODELLED RESULTS

PUT THE MODEL
ON THE TABLE.

Equivalent six-month baseline and scenario periods. Every value is synthetic.

+13%Scoped platform fee revenue
+10%First-time purchasers
+3pp90-day repeat rate
MeasureSynthetic baselineModelled scenario
Search landing clicks6,00,0006,66,000
Retained orders / store bills67,20075,168
First-time purchasing customers30,00033,000
Existing purchasing customers22,00024,200
90-day repeat-purchase rate24%27%
Average net order / bill value₹1,700₹1,717
Net merchandise sales₹11.42 crore₹12.91 crore
Illustrative platform fee revenue₹2.06 crore₹2.32 crore
Blended acquisition cost₹170₹164
Item-return rate23%22%

New customers means identified first-time purchasers, not registrations. Existing purchasers bought before the period. Repeat rates use matured 90-day first-purchase cohorts. Clicks are not unique customers.

THE CALLS WE WOULD MAKE

MAKE THE CALL.
SHOW THE REASON.

01

Separated category needs from broad promotion demand

Palledian structured the assumed research around everyday western wear, occasion-led clothing and footwear. Queries and browsing behaviour were used to form hypotheses about shopping needs. Offer-led visits were reviewed separately from non-brand category intent so the plan could distinguish bargain browsing from a useful acquisition opportunity.

02

Matched search promises to the landing experience

The search plan connected the advertised category, available selection and final offer conditions. Recommendations aimed to make eligibility and payable price easier to understand before checkout. Category pages were assessed for mobile filters, size availability and the distance between a relevant search result and a suitable product.

03

Improved confidence without hiding return options

Product detail recommendations focused on sizing, fabric, fit and delivery information. The model assumes a lower item-return rate, but a real programme would investigate reason codes and retained-order value. Appropriate returns would remain available; a falling return rate would not be credited to making the process difficult.

04

Planned the second purchase around category relevance

The fictional CRM programme connected the first purchase to a relevant wardrobe need using consented email and SMS. Customers received different recommendations according to their category history and availability. The repeat-purchase measure required a completed follow-on transaction within a fully observed 90-day window.

05

Expanded only when the contribution model supported it

The assumed commercial review tested acquisition spend against net platform fee revenue and attributable service costs. Product groups with attractive demand but weak economics would receive a different recommendation from groups with dependable fulfilment and healthier contribution. The model keeps the fee assumption constant so revenue growth is not manufactured through a higher take rate.

THE COMMERCIAL PICTURE

ACCOUNT FOR
THE WHOLE COST.

An invented 18% net platform-fee yield is used solely to demonstrate marketplace-style economics. It is not AJIO’s actual margin or recognised revenue. A real report must replace this convention with finance-approved revenue and cost definitions.

Programme economicsSynthetic baselineModelled scenario
Scoped revenue₹2.06 crore₹2.32 crore
Service / store costs₹1.25 crore₹1.35 crore
Acquisition expenditure₹51.00 lakh₹54.12 lakh
Allocated programme support₹32.00 lakh₹33.60 lakh
Scoped operating result−₹2.37 lakh₹9.59 lakh

A scoped programme surplus is not company-wide net profit. Unallocated head-office, financing, tax and out-of-scope costs are excluded. Growth differences do not establish causality.

THE OUTCOME

KNOW WHAT
DESERVES SCALE.

The scenario links more useful demand, stronger conversion and a modestly higher basket with a move from a small scoped deficit to a positive modelled operating result. That break-even transition belongs to the hypothetical programme; it says nothing about AJIO’s actual profitability.

Use this model to explore a consulting approach. Actual success-story claims require supported project activities and measured client data.

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OUR CALL.

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