Digital shelf analytics measures your brand's presence where shoppers actually decide: search rank and share of search for your category keywords, content compliance (images, titles, claims) SKU by SKU, ratings and reviews, buy-box ownership, price position and availability — across Amazon, quick-commerce and grocery platforms, benchmarked against named competitors in one recurring feed. One personal-care brand used weekly audits to lift share of search 2.4× in six months.
In physical retail you audited the shelf with a clipboard. The digital shelf is bigger, moves hourly, and is scored by algorithms — search rank, content quality, ratings, availability and price all feed each other. A brand can lead offline and be invisible on page three of the app where the category is actually growing, with no measurement to prove it to leadership.
This service is that measurement: a recurring, competitor-benchmarked audit across every retailer and marketplace that matters to your category, delivered as a feed your team acts on weekly. It's the packaged, brand-side application of our managed scraping — and the mechanism behind the 2.4× share-of-search case study.
Your rank and share for the keywords buyers actually type — per platform, per city where relevant, tracked weekly.
Images, titles, bullets and claims checked SKU-by-SKU against your brand standard; violations listed, not implied.
Who owns your buy box, when you lose it, and to whom — with the price moves that explain it.
Your price vs the category and named rivals, promo overlap, and where you're silently premium or discount.
Out-of-stocks per retailer — down to pincode on quick commerce — before they cost you rank.
Every metric side-by-side with the 3–5 rivals you name, so the Monday meeting has a scoreboard.
Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.
| sku | platform | search_rank | share_of_search | buybox | content_score | in_stock |
|---|---|---|---|---|---|---|
| Hero Shampoo 340ml | Amazon | 3 | 22% | yes | 92 | yes |
| Hero Shampoo 340ml | Blinkit | 11 | 8% | n/a | 78 | yes |
| Rival Shampoo 340ml | Amazon | 1 | 31% | yes | 96 | yes |
| Hero Shampoo 180ml | Amazon | 7 | 14% | no | 85 | no |
[
{
"sku": "Hero Shampoo 340ml",
"platform": "Amazon",
"search_rank": "3",
"share_of_search": "22%",
"buybox": "yes",
"content_score": "92",
"in_stock": "yes"
},
{
"sku": "Hero Shampoo 340ml",
"platform": "Blinkit",
"search_rank": "11",
"share_of_search": "8%",
"buybox": "n/a",
"content_score": "78",
"in_stock": "yes"
},
{
"sku": "Rival Shampoo 340ml",
"platform": "Amazon",
"search_rank": "1",
"share_of_search": "31%",
"buybox": "yes",
"content_score": "96",
"in_stock": "yes"
},
{
"sku": "Hero Shampoo 180ml",
"platform": "Amazon",
"search_rank": "7",
"share_of_search": "14%",
"buybox": "no",
"content_score": "85",
"in_stock": "no"
}
]
| PLATFORMS | Amazon & marketplaces · quick commerce · grocery & pharmacy apps · D2C where public |
| CADENCE | Weekly standard; daily for launches and campaign windows |
| SCOPE | Your SKU list + named competitors; category-wide keyword sets |
| DELIVERY | Dashboard-ready feed (CSV/API/warehouse) or scored reports |
| TIMELINE | Free sample audit in 48h · full program live in ~2 weeks |
| PRICING | By SKUs × platforms × cadence; scoped after requirement call |
| COMPLIANCE | Public data only · ISO 9001/27001 · NDA-first |
Every engagement is NDA-first and starts with a free sample — judge the data before any commitment.
| In-house DIY | Generic SaaS tool | iWeb Data Scraping | |
|---|---|---|---|
| Setup & maintenance | You build scrapers, fight anti-bot, fix breakages weekly | Rigid templates, breaks on site changes, slow support | Fully managed — we build, monitor and fix, you never touch a proxy |
| Data quality | Best-effort, no QA layer, silent failures | Generic parsers, frequent gaps | 99%+ field accuracy, QA-verified, monitored 24/7 |
| Coverage | Limited to what you can maintain | Only supported sites | Any public site or app, at scale |
| Compliance | Your legal risk to manage alone | Often opaque about methods | ISO-certified, PII-scrubbed, NDA-first, documented |
| Time to value | Weeks to months of engineering | Fast but inflexible | Free sample in 48h, production in days |
Rank drives sales drive rank — weekly share-of-search audits found the gaps behind a 2.4× lift.
Search, content, price, availability vs named rivals — the argument for budget, with numbers attached.
The delisted hero SKU, the rogue seller, the ratings dip in one region — surfaced the week they happen, not the quarter after.
Share of search is the percentage of top result slots your brand holds for a set of category keywords on a platform. It matters because marketplace search is the new shelf placement: rank drives sales, and sales feed rank, so share-of-search gaps compound quietly until they're expensive to reverse.
Amazon and major marketplaces, quick-commerce apps (including pincode-level views via our mobile app extraction), grocery and pharmacy platforms, and public D2C sites. The platform mix is scoped to where your category's volume actually lives.
Retailer dashboards show your performance inside one walled garden, on their definitions, without competitors. Digital shelf analytics is cross-platform, competitor-benchmarked and independent — the view your leadership needs to allocate between retailers, not within one.
Both models run: a dashboard-ready feed into your BI tool (most common for teams with analysts) or scored weekly reports with violations and movers highlighted. Either way the underlying data is yours, in open formats.