DIGITAL SHELF ANALYTICS

Your shelf is digital now.
Measure it like one.

// THE SHORT ANSWER

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.

99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • 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

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.

WHAT'S INCLUDED

Every lever of the algorithm,
in one benchmarked feed.

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Share of search

Your rank and share for the keywords buyers actually type — per platform, per city where relevant, tracked weekly.

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Content compliance audits

Images, titles, bullets and claims checked SKU-by-SKU against your brand standard; violations listed, not implied.

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Buy-box & seller tracking

Who owns your buy box, when you lose it, and to whom — with the price moves that explain it.

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Price position & promo

Your price vs the category and named rivals, promo overlap, and where you're silently premium or discount.

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Availability by platform & city

Out-of-stocks per retailer — down to pincode on quick commerce — before they cost you rank.

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Named-competitor benchmarks

Every metric side-by-side with the 3–5 rivals you name, so the Monday meeting has a scoreboard.

SEE THE DATA FIRST

What you'll actually receive.

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.

Digital-shelf scorecard — one row per SKU per platform, benchmarked.
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
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
DELIVERY SPECS

The details procurement asks for.

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.

THE HONEST COMPARISON

Why a data layer, not a DIY script or a rigid tool

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
WHO USES THIS

Built for the person
who owns the number.

E-COMMERCE MANAGER · CPG

Win search where it compounds

Rank drives sales drive rank — weekly share-of-search audits found the gaps behind a 2.4× lift.

CATEGORY MANAGER

One scoreboard for the Monday meeting

Search, content, price, availability vs named rivals — the argument for budget, with numbers attached.

BRAND / TRADE TEAM

Catch the quiet failures

The delisted hero SKU, the rogue seller, the ratings dip in one region — surfaced the week they happen, not the quarter after.

FAQ

Before the first call.

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.

Get a free sample dataset in 48 hours.