MarkGrid

Operations & Spend·SKU rank + attribution live

E-commerce Intelligence

Connect marketing spend to shelf performance.

A decision system that joins three data worlds nobody else has joined: marketing spend, shelf rank and review sentiment. Tracks every SKU across every platform, attributes rank movement to specific campaigns, and recommends the next move.

Shelf rankper SKU
Organic position · 7-day
SKU-A21
#3
SKU-B14
#8
SKU-C09
#12
SKU-D27
#18
Attributioncausal
+18ranks · SKU-A21
campaign Xinterrupted time series

What E-commerce Intelligence does

Organic rank tracking

Daily position for 50 keywords per SKU across Amazon, Flipkart and major marketplaces.

Review sentiment

Attribute-level sentiment, recurring themes and competitor mentions as structured intelligence.

Marketing-to-shelf attribution

Causal link between campaigns and rank movement, using interrupted time series and CausalImpact.

Recommendation layer

Prioritised, economics-backed actions: reallocation, briefs and product decisions.

Who runs it

E-commerce and retail media leads

What it needs

  • Your SKU catalogue and marketplaces
  • Campaign spend by channel
  • Marketplace review streams

What it produces

  • Daily organic rank per SKU
  • Attribute-level review sentiment
  • Campaign-to-rank attribution
  • A prioritised recommendation queue

Questions people ask

What does E-commerce Intelligence join together?

Three data worlds that normally sit apart: marketing spend, shelf rank and review sentiment. Joining them is what makes it possible to say which campaign moved which SKU, rather than reporting each in isolation.

How is rank movement attributed to a campaign?

Through causal methods rather than correlation: interrupted time series and CausalImpact are used to test whether a campaign explains a rank movement, so a seasonal lift is not credited to media.

What does it track per SKU?

Daily position for 50 keywords per SKU across Amazon, Flipkart and major marketplaces, plus attribute-level sentiment, recurring themes and competitor mentions pulled from reviews as structured intelligence.

See E-commerce Intelligence on your data.

A first conversation maps this module, and the 14 it shares data with, to the gaps in your stack.