SOV
Share of voice vs rivals
Your share of every search-result placement — overall and Top-10 — so depth of catalogue never gets mistaken for first-page visibility. Organic vs sponsored split per brand.
Live sample · Amazon · Flipkart · Blinkit
Know who owns page one — by competitor, keyword and city.
Scanytics is competitor research for brands listed on ecommerce platforms. Compare rivals, track location-based keyword ranking, and leave with a strategy you can run next week.
Reports are built by specialists from a daily public-shelf capture. You get a live, filterable read — not a static PDF dump. No seller-account access required.
4.1MListing rows in one category programme
137Search keywords tracked daily
6Platforms · marketplace + quick commerce
1,232Pincodes in a single dark-store study
5 metrosLocation-based rank, not a national average
The gap
Your seller dashboard ends where the competition begins.
It tells you what you sold. It cannot tell you which of the sixty slots on page one you held this morning, which rival sat above you, or whether they paid for the privilege — and whether that picture changes in Bengaluru vs Mumbai.
- “In stock” is not “on page one.” A brand ranking fortieth is present in the index and absent from the shelf the shopper actually sees.
- National rank hides city rank. The same keyword can put you #3 in Delhi and #18 in Hyderabad. Strategy has to be location-aware.
- Platform tags lie. In one live catalogue, 79 cm trolleys were tagged as locks. We classify from the title, then reconcile.
Product
Everything a brand team needs to decide what to do on the platform.
One capture. Five readings. Competitor comparison and location-based keyword ranking sit on the same row-level record, so the story always reconciles.
LOC
Location-based keyword rank
The same keyword, five metros, daily. See where you hold page one and where a competitor owns the city. Built for marketplace pincodes and quick-commerce catchments.
MIX
Assortment white space
What the shelf actually contains by size, format and price band — classified from listing titles. The cells rivals field and you do not.
PRC
Price & promo depth
Matched-basket discounts against each product’s own business-as-usual price. Which sale events moved the shelf — and which were only a badge.
QCM
Quick commerce reach
On dark-store channels a brand exists only where a nearby store stocks it. We sweep pincodes and report reach city by city.
PLAY
Strategy notes from experts
For now every programme is read by a specialist. You get the interactive report plus a short set of plays: where to buy ads, where to list, where to cut price.
Coverage
Depth stated per platform, because the shelf differs per platform.
Figures below are from a live luggage-category programme. Adding a city or a platform is a configuration change, not a new project.
| Platform | Rows captured | Search terms | Depth per run | Delivery locations | Cadence |
|---|---|---|---|---|---|
| Amazon.in | 3,372,594 | 109 | Page 1 · ranks 1–60 | 5 pincoded metros | Daily |
| Flipkart | 749,487 | 28 | Pages 1–15 · ranks 1–600 | 9 pincoded locations | Daily |
| Blinkit | 696 | Pincode sweep | Full shelf · 31 dark stores | 1,232 pincodes probed | On study |
| BigBasket | 47,760 | Pincode sweep | First 40 of 523 results | 1,194 serviceable | On study |
| Zepto | 0 | Pincode sweep | Category not carried | 1,232 probed | On study |
| Instamart | 9 | Pincode probe | Full shelf | Single pincode | On study |
Sample findings
India luggage & bags, June–August 2026.
An extract from a live programme. Open the interactive report to filter by platform, city and keyword cluster.
Presence ≠ page one
51.6% of top-ten slots
The leader converts 32.7% of placements into 51.6% of top-ten. The third brand does the reverse. Overall share flatters it.
Rented visibility
62% sponsored
Two challengers buy most of their shelf. Cut the ad spend and the position goes with it.
Format gap
21 pts
Multi-piece sets are 35% of the challenger catalogue and 14% of the incumbent group — found by classifying 2,824 titles.
Quick commerce
91% reach
Inside a thin serviceable footprint, the leader reaches 91% of pincodes against 47% for the premium incumbent.
Method
Four auditable steps. Then an expert reads it with you.
You can trace any number back to the rows that produced it. Specialists still generate the first programmes by hand — the interactive report is how you use the work.
Capture the shelf
Daily search results per keyword, per pincoded delivery address, at a stated depth. Rank and page on every row.
Resolve the brand
Brand from the platform feed and the listing title together, with a maintained lookup for sub-brands and house labels.
Classify from the title
Type, size and format parsed from the title, then reconciled against the catalogue tag. Where they disagree, the title wins.
Compute & brief
Share, mix, price and reach off the same rows. An analyst writes the plays; you get the live report plus the readout.
Who reads it
One capture, four Monday mornings.
Ecommerce head
Where share is lost, on which platform and city, and whether the cause is ranking, range or price.
Category & product
Formats and price bands rivals field and you do not — in time for the next range review.
Pricing & trade
What each rival actually cut in each event, and across how much of their range.
Retail media
Organic vs sponsored for every brand. Prove which competitor share is bought.
Questions
Before you book the call.
Is this a self-serve dashboard?
Not yet. Capture and first reads are run by our team. You receive an interactive report you can filter — platform, city, keyword — plus a specialist briefing. That is the product we are selling today.
Do you measure sales or market share?
No. We measure shelf presence: where products appear, at what rank, at what price, in which locations. No order or conversion data sits behind any figure.
How is share of voice calculated?
Every listing shown for a tracked keyword, on a given day, at a given rank, is one placement. A brand’s SoV is its placements divided by all placements in that segment. Top-10 SoV is reported separately.
Which platforms and locations?
Amazon and Flipkart at keyword level; Blinkit, BigBasket, Zepto and Instamart at pincode level. Delivery locations are set by you — a metro panel or a dark-store catchment.
How long until the first report?
Keyword design takes about a week. A trend needs three to four weeks of capture. A one-off snapshot audit can land faster.
Is the capture compliant?
Public search results only — the same pages any shopper sees. No account access, no logged-in sessions, no personal data.
Schedule a call
Bring one category and one competitor you cannot read.
Pick a time and save it in Google Calendar. You and NDV Techsys both get the invite. The call is thirty minutes, with no commitment.
- Bring: your category, three closest rivals, and the platforms that matter.
- Leave with: a keyword design, a sample read, and a straight answer on what we cannot measure.