Digital shelf analytics tools tell you where your product pages are thin, mis-ranked or out of stock across retailers. They do not make the images, video and copy that fix it.
Tell us the brand, the markets and the retailers that matter. We come back with what is missing on your digital shelf by market, what the first month of creative would look like and one number.
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Digital shelf analytics is software that monitors how your products appear and perform across retailer sites and apps: search rank, share of search, content completeness, image and video coverage, ratings and reviews, price and availability. It shows where each SKU is losing on each retailer. It does not produce the content needed to fix those gaps, which is where creative production capacity, not another dashboard, decides whether the score improves.
Digital shelf analytics grew up alongside retail media. Once brands were paying to send shoppers to product pages, they needed to know whether those pages were any good, on every retailer, every week.
The tools do that well. What they consistently surface is the same finding: content is incomplete, especially on secondary images, video and long-tail SKUs. Fixing it is a production problem, and that is where most programs stall.
A better digital shelf score comes from better analytics.
The score comes from content. Analytics only tell you which content is missing and where.
Hero SKUs are enough.
Long-tail SKUs are where pages are thinnest and competitors are easiest to beat. The dashboard shows it; the shoot list rarely covers it.
The content team can catch up next quarter.
Retailers change specs, packs change, promotions change weekly. The gap list refills faster than a quarterly cycle.
How often your products appear in the first screen of results for category terms, per retailer.
Whether each page has the hero image, secondary images, video, title and bullets the retailer rewards.
The share of SKUs with mobile-ready hero images, four to six secondary images and a short video.
Count, average and recency per SKU, which both shoppers and retailer algorithms weigh.
Out-of-stock and price mismatches that waste every ad dollar pointed at the page.
Whether assets meet each retailer's image, claim and copy rules, so they are not suppressed.
Most tools export which pages are missing which assets. That export is the brief.
Mandatories, claims and pack rules, so every asset produced is compliant before review.
Product feeds turned into lifestyle images, SKU cards and short videos for every SKU, including the long tail.
One master asset per SKU, versioned to every retailer's image and video requirements.
Frame-by-frame checks for pack accuracy and claims, then watch the completeness score move.
Several vendors sell digital shelf monitoring. They differ in retailer coverage and depth, and they share one limit: they report, they do not produce.
Monitor rank, content, price and stock across dozens of retailers daily, and alert when something drops.
The images, video and copy that close the gap, retailer by retailer, SKU by SKU.
We take the gap export and ship the content: 100+ assets a month, 5 to 7 day cycles, every SKU, every retailer spec. See the digital shelf guide and catalog ads.
Digital shelf analytics is software that monitors how products appear online across retailers: search rank, content completeness, ratings, price and availability. It shows where content is missing or wrong. It does not produce the images, video or copy needed to fix those gaps.
Share of search, content completeness, image and video coverage, ratings and reviews, price and availability, and retailer compliance. Content completeness and image coverage are the ones a brand can move fastest, because they depend on production rather than on the retailer.
Digital shelf optimization is improving how products rank, look and convert on retailer sites and apps: complete product pages, mobile-ready images, video, accurate titles and stock, refreshed as promotions and packs change. Analytics find the gaps; production closes them.
If you sell through more than a few retailers, yes, because manual checks do not scale. Pair it with production capacity, or the tool will keep reporting the same gaps.
We take the gap export from your tool and produce the missing content: hero and secondary images, short video and copy for every SKU, cut to each retailer spec, with frame-by-frame QA. Managed programs start at $5,000 a month.

Nitin runs QuickAds, the creative intelligence and production company behind this page: 70+ people across India, Singapore, Canada and the US, and more than $200M of ad spend managed. Before QuickAds he was early at two companies that went on to become unicorns. This page comes out of the calls he has with FMCG and retail teams every week. Connect on LinkedIn
Tell us the brand and the retailers that matter. We come back with what is missing on your digital shelf and what the first month would look like.
No card. We reply within one working day.