RANGNAVI
₹62.8L a month on 79
keywords. You are winning
without being findable.
The largest seller in this set, and the thinnest keyword footprint. 166 of 200 listings report no sales; the catalog converts but Amazon barely indexes it.
A growth-opportunity map for one of India's fast-moving women's kurtas & kurtis brands. Our estimate: roughly ₹32L/month of incremental Amazon GMV is sitting inside listings the brand already owns.
A Powerlaw category teardown · RANGNAVI
Est. Amazon GMV
₹63L/mo
our estimate · Base case
Live catalog
200
SKUs · 34 ranked
Best rank
top-seller band
category BSR
Untapped upside
₹32L / mo
our estimate · from existing listings
Executive Highlight · 30-second read
- 1You are the biggest seller here. — ₹62.8L a month at a ₹760 AOV, on 8.6K units.
- 2And the least findable. — 79 indexed keywords total, none on head terms.
- 3166 of 200 listings report no sales. — the catalog exists but Amazon is not surfacing it.
- 4The one compounding move: — index the head terms and switch on the dark listings before festive.
- 5The lesson: in a copyable category, rank and reviews are the moat — not the product.
Scroll for the 12-page breakdown · or jump to the 90-day plan.
02Business fundamentals — the real GMV & momentumData
03Catalog architecture — what is switched onData
04Hero & variant audit — where the rank livesData
05Competitive landscape — the category ladderDirectional
06Off-Amazon flywheel — brand demand engineTo map
07Demand & the 7-day rank pulseData
08The 90-day planPlan
09Financial scenariosModel
10Risk registerFlags
11Honest disclosure — confidence & scopeCandid
12The playbook — a 90-day catalog activationPlaybook
Powerlaw · powerlaw.in
Business fundamentals
What the numbers actually say
The headline is healthy. The structure underneath it is where the opportunity and the fragility both sit.
Est. Amazon GMV
₹63L/mo
our estimate · range ₹55-72L
Est. units / mo
~8.6K
category-weighted
Blended AOV
₹760
across ranked SKUs
Avg catalog rank
13,161
across 34 ranked SKUs
7-day brand-wide rank pulse. Bars below the line = rank improving (more sales); above = rank slipping.
| Signal | Read |
|---|---|
| Best SKU rank | top-seller band strong |
| Ranked SKUs | 34 / 200 |
| Revenue from Kurtas & Kurtis | 99.4% |
| Avg rank across ranked SKUs | 13,161 |
| Rank-slip days flagged this week | 1 |
| Category footprint | Women's Kurtas & Kurtis |
Rank and price are read directly and stated flatly. GMV and units are our estimates.
The math of waiting. The brand converts — ₹62.8L a month proves that. What it does not do is get found: 79 indexed keywords in total, none of them on the head terms that carry kurta demand, and 166 of 200 listings reporting no sales at all. Every week that footprint stays this thin, demand that should reach these listings goes to whoever is indexed instead. Our estimate is ₹14L/month of incremental GMV foregone on a catalog that has already proved it converts.
Powerlaw · powerlaw.in
Catalog architecture
What is switched on — and what isn't
A catalog is only an asset once Amazon can see it. This is where the listings actually stand.
Listing count by category. Size of range does not track revenue — that gap is the opportunity.
Revenue concentration. The more concentrated, the more a single suppression or stock-out threatens the whole business.
| Category | SKUs | Rev share | Read |
|---|---|---|---|
| Kurtas & Kurtis | 182 | 99.4% | The entire business; 34 of 182 report sales |
| Salwar Suits | 13 | 0.6% | Adjacent range, effectively dormant |
| Chunnis & Dupattas | 5 | 0% | Accessory attach, unranked |
182 of 200 listings sit in Kurtas & Kurtis, but only 34 report any sales. The range is not the constraint; discoverability is.
Today → 90 days. The job is not to add SKUs. It is to index, consolidate and rank what already exists, then let the winners take budget.
Powerlaw · powerlaw.in
Hero & variant audit
Where the rank actually lives
Every listing that carries live rank, what it earns, and which direction it is moving.
| SKU (ASIN) | Price | Rank | 30D | 90D | Role |
|---|---|---|---|---|---|
| Cotton Printed Straight Kurta + Pants + Dupatta B0FR2M8SKG | ₹760 | top seller | 13 kw | - | 1.0K units/mo · ₹7.3L/mo |
| Pure Cotton Printed Set B0FR2FV1R4 | ₹760 | - | 12 kw | - | Second-best indexed |
| Cotton Trending Set B0FTG16ZGG | ₹760 | - | 10 kw | - | Black kurta set terms |
| Rayon Anarkali Embroidered B0BPY6JKN7 | ₹760 | - | 8 kw | - | Festive/pastel terms only |
| Printed Kurta Set B0FR2JGRXT | ₹760 | - | 7 kw | - | Mid-tier indexing |
| 14 further listings B0FR2M8SKG | - | - | 1-6 kw | - | Thin or single-keyword coverage |
Indexed keywords per listing. A listing indexed for one keyword is invisible on everything else — this is the cheapest gap in the catalog to close.
Total indexed keywords
79
across 20 listings that carry any
Best-indexed listing
13
keywords on a single listing
Head-term reach
Long-tail only
best term ranks ~51,000 in search volume
What the keyword picture says. Every keyword this brand is indexed for is long-tail: the strongest term sits around the 51,000 mark in search volume, and most sit past 150,000. Nothing is indexed on the head terms that actually carry kurta demand. That the brand still does ₹62.8L a month on that footprint is the finding — the product converts, but shoppers are only reaching it through narrow, low-volume phrases.
| Rank lever | Today | Target — 90 days |
|---|---|---|
| Browse-node consolidation | Split across nodes | One authoritative node |
| Variant families | Colours/sizes split | Single parent, all children |
| Ranked SKU count | 34 of 200 | Materially more listings earning |
| Hero rank band | top-seller band | Held through Q4 peak |
| Review velocity | Passive | Post-purchase flow live |
| Accessory attach | Unlinked | Cross-listed on every parent |
Highest-ROI single fix. Index the head terms on the twenty listings that already sell, then extend the same keyword sets to the dark listings. This brand already proves it converts — the only missing input is being found.
Powerlaw · powerlaw.in
Competitive landscape · directional
The category ladder
Named competitor benchmarking was out of scope for this pass, so this is the structural read of the ladder this brand sits on — to be sharpened with live pulls in a pilot.
Price against category authority. Where a brand sits determines who can attack it and from which direction.
The moat you have
A genuine rank position at top-seller band in a high-traffic band. Hard to dislodge if actively defended.
The soft underbelly
Only 34 of 200 listings rank. A focused competitor with a handful of well-fed listings can out-index breadth.
The clone risk
This category is easy to copy. Defensibility is rank plus reviews plus brand recall — not the product itself.
The authority play
Own the category head term and the rung above your hero before a competitor claims the ground you are not defending.
The math of waiting. Kurta is the most cloneable category in Indian apparel, and the only durable defence is being the listing Amazon shows first. Right now the brand ranks on narrow long-tail phrases while the head terms belong to someone else. Every month that continues, a competitor accumulates the review depth on those head terms that later makes them structurally theirs — and re-taking them costs a CPC premium on every click, permanently.
Powerlaw · powerlaw.in
Off-Amazon flywheel · to map
The demand engine feeding Amazon
This pass was scoped to Amazon data, so the off-Amazon flywheel is mapped as a checklist of what to instrument — each one lifts Amazon conversion when switched on.
D2C site
To map
A demo funnel lowers Amazon CAC on a considered purchase.
Instagram
To map
This category lives on parent-facing Reels; handle and cadence to capture.
Meta ads
To map
Video-first demos are the category's cheapest demand source.
Review velocity
To wire
Post-purchase flow on the installed base is the fastest review lever.
Seasonality
Q3→Q4
Birthday and Diwali gifting is the peak — why the 90-day window matters.
Accessory loop
Latent
Spares and add-ons are a retention engine on every unit sold.
Strategic implication. Kurta is a visual, occasion-led purchase where shoppers browse by fabric, colour and occasion. The brands that compound pair head-term indexing with lifestyle content, so branded search and category search both land on a listing that is already ranked.
Powerlaw · powerlaw.in
Demand & the 7-day rank pulse
Reading this week's signal
The weekly pulse is the earliest warning system available. Here is what it flagged.
Rank-slip day
Jul 27
BSR +8% vs 7-day avg
Ranked SKUs
32
with a live daily rank signal
| Movers this week | 30D trend | What it means |
|---|---|---|
| Cotton straight sets | top seller | Rank improving — fund it |
| Printed cotton | strong | Rank improving — fund it |
| Trending black sets | rising | Rank improving — fund it |
| Anarkali festive | seasonal | Rank improving — fund it |
| 166 of 200 listings | no reported sales | Losing ground — triage |
| Salwar Suits | 0.6% share | Losing ground — triage |
| Dupattas | unranked | Losing ground — triage |
| Head terms | not indexed | Losing ground — triage |
The read. The pulse separates what is working from what is merely present. Fund the climbers, triage the decliners, and stop spreading attention evenly across a catalog that is not performing evenly.
Powerlaw · powerlaw.in
The 90-day plan
Switch the catalog on, then defend it
Four phases, 21 days each. Sequenced so the free rank gains land first and paid demand only turns on once listings can convert it.
The math of waiting · Phase 1. Phase 1 is indexing work on listings that already exist and already convert — no new inventory, no ad spend. At the current gap we estimate delay costs on the order of ₹3.5L/week of incremental GMV, and every week closer to the festive peak raises the price of buying that visibility back.
Phase 1 · Days 0-21 · Foundation
Consolidate & index
- Merge fragmented browse nodes into one authoritative node
- Roll colour and size variants into single parent families
- Fix mis-tagged and stranded listings
- Cross-list accessories and spares on every parent
Phase 2 · Days 22-42 · Review velocity
Rescue and reinforce
- Post-purchase review flow on the installed base
- Prioritise the highest-margin listings for review acceleration
- Rebuild the weakest high-value listings (title, images, A+)
- Triage the declining tail before it drags brand rank
Phase 3 · Days 43-63 · Demand capture
Turn on the demand loop
- 2 demo Reels per week; retire the bottom quartile weekly
- Drive branded search to the consolidated hero listings
- Fund the proven climbers with dedicated budget
- Concentration discipline on the hero keyword set before peak
Phase 4 · Days 64-90 · Lock-in
Own the season
- Hold hero rank through the gifting peak
- Convert the strongest dormant listings into a second ranked line
- Lock the premium rung with a review lead
- Instrument the pulse as a weekly exception-management routine
Powerlaw · powerlaw.in
Financial scenarios
What switching the catalog on is worth
The upside is almost entirely activation of listings that already exist — not new products, not new categories.
Estimated Amazon GMV per month at Day 90 by scenario, against today's baseline. Our estimates.
Conservative
₹78L
Head terms indexed on the top 20 sellers. +₹15L/mo.
Base
₹95L
+ the 166 non-selling listings indexed and ranked. +₹32L/mo.
Aggressive
₹118L
+ full keyword build-out + festive demand captured. +₹55L/mo.
| Investment line | Conservative | Base | Aggressive |
|---|---|---|---|
| Listing / variant consolidation | one-time | one-time | one-time |
| Listing rebuilds | core | extended | full |
| Review acceleration | low | med | med |
| Amazon ads / mo | light | moderate | full |
| Meta demand / mo | — | moderate | full |
| Creative (Reels) | 1/wk | 2/wk | 3/wk |
| Implied blended ROAS | ~5.5× | ~5× | ~4.5× |
Base-case read. Getting to ₹95L/mo needs no new product — it needs head-term indexing on the sellers and the 166 dark listings switched on.
Powerlaw · powerlaw.in
Risk register
What could break this
Ranked by what would hurt most, with the phase that mitigates each.
| Risk | Sev | Mitigation |
|---|---|---|
| 166 of 200 listings report no sales — most of the catalog is dark | High | Phase 1: index and rank the non-selling listings |
| Zero head-term coverage — invisible on the biggest kurta searches | High | Phase 1-2: build head-term indexing on the top sellers |
| 99.4% of revenue in a single category with no hedge | High | Phase 4: activate salwar suits and dupatta attach |
| Kurta is the most cloneable category in Indian apparel | Med | Phase 3: lock rank and review depth on the top 20 |
| Festive season (Q3-Q4) is the kurta demand peak | High | Complete Phases 1-3 before the festive ramp |
| AOV of ₹760 leaves thin margin for ad-led growth | Med | Phase 2: mix in higher-AOV sets to lift blended AOV |
| Dupattas and accessories unmonetised | Low | Phase 4: cross-list attach on every kurta set |
The math of waiting · compounded. The top three risks share one root: a catalog that converts but cannot be found, concentrated entirely in one cloneable category, heading into the festive peak. Indexing is free listing work today; in Q4 the same visibility has to be bought through inflated CPCs — our estimate is roughly 3x the cost.
Powerlaw · powerlaw.in
Honest disclosure
What we're confident in — and what we're not
You should be able to tell a measured read from a modelled one at a glance.
| Claim | Our estimate | Confidence |
|---|---|---|
| Catalog size & category split | 200 SKUs | High |
| Ranked SKU count & best rank | 34 · top-seller band | High |
| 30D/90D rank trends per SKU | as listed | High |
| Revenue concentration | 99.4% | Medium |
| Monthly Amazon GMV | ₹63L (₹55-72L) | Medium |
| 90-day scenario GMV | ₹78L-₹118L | Medium |
| Competitor positions | structural | Directional |
| Off-Amazon flywheel | to map | Directional |
What sharpens in a pilot
Live competitor pulls with named brands and review velocity, the D2C and social read, per-SKU review counts, and Seller-Central-level unit economics.
What we deliberately didn't estimate
Review sentiment, return rates and named-competitor numbers — this pass was scoped to Amazon rank and sales data only, by design.
Powerlaw · powerlaw.in
The playbook
What a 90-day catalog activation looks like
One brand, one category, one focus: turn a catalog that exists into a catalog that earns.
| Workstream | Outcome by Day 90 |
|---|---|
| Catalog & node consolidation | One authoritative node; variants in single families |
| Hero defense | Top listings held in their current rank band through Q4 |
| Dormant listing activation | The unranked catalog indexed and earning |
| Climber scale-up | Fast-rising SKUs given budget and inventory |
| Review velocity engine | Post-purchase flow live on the installed base |
| Demand loop | 2 demo Reels/week feeding branded search into Diwali |
The takeaway for any catalog brand. A catalog that converts but cannot be found is the cheapest problem in e-commerce to fix. The growth here is in discoverability, not in more designs.
If you're solving this on Amazon — find us at powerlaw.in.
We take one brand per category and grow it on incremental GMV.
Powerlaw · powerlaw.in
No comments:
Post a Comment