Map where every pack and price point sits — and where the gaps are.
Enter prices you have actually observed — with dates and sources — normalised per equivalent unit. The ladder shows where everyone sits and, more usefully, where nobody sits.
Enter prices you have actually observed, with the date and where. Unverified numbers get flagged, not believed.
| Brand | Price ₹ | Pack (g/ml/units) | Observed | Source / note |
|---|---|---|---|---|
Per-unit normalisation (price ÷ pack size) makes packs comparable; raw values are preserved alongside.
Gaps over 15% between neighbours are flagged as unoccupied space — a hypothesis to test, not a recommendation to launch.
Undated or unverified entries are labelled. A ladder built on guessed prices is decoration, not analysis.
Illustrative figures, not a client outcome.
Store visits, marketplace listings, distributor price lists, and your sales team's win/loss reports — all legitimate. Record the date and source with each entry.
Maybe. Check pack economics, channel fit and brand stretch first — gaps often stay empty because the margin or the demand isn't there.
Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.
The ladder is mapped. Position your next move with evidence.
BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.