Marketing intelligence for grocery brands
Quick commerce broke the link between demand and attribution. Someone sees a reel and orders from a different app eleven minutes later, and nothing you own records any part of it.
What makes grocery and quick commerce brands different
There is no click to attribute
The order happens inside someone else’s app. The sale is real, the demand was yours, and the trail does not exist.
Shelf position is an algorithm you do not control
Ranking inside a quick commerce app responds to velocity, which responds to demand you create elsewhere. The loop is real and almost nobody measures it.
Stockouts punish successful campaigns
A campaign that works pulls inventory to zero in the dark stores that matter, and the next three days of demand go to whoever is still listed.
These questions are being answered without you
Assistants answer category questions with a handful of brand names. Noma tracks whether yours is one of them, across ChatGPT, Perplexity, Gemini, Claude and Grok.
- best healthy snack brands on quick commerce
- which brand of [product] is best in India
- is [brand] available for quick delivery
- best [category] brand for daily use
Three agents, three separate jobs
Know the audience is real before you pay for it
Creator budgets in grocery & quick commerce are set against follower counts, which is the number most likely to be bought.
- TruAI scores follower quality profile by profile, calibrated for Indian accounts
- Forecast expected return before the brief goes out, not after the invoice
- Attribute sales to the product, so you learn which creator sells what
Be named when an assistant answers
Category questions are increasingly answered with a handful of brand names, chosen without anyone visiting a website.
- Daily tracking across ChatGPT, Perplexity, Gemini, Claude and Grok
- Share of voice per prompt, and which competitor is named instead
- A 12-point audit of whether your pages can be quoted cleanly
Find the spend that is not working
Read-only access to Meta and Google Ads, explained in plain language rather than another dashboard.
- Creative fatigue flagged before performance drops
- Wasted spend pinpointed at campaign, ad set and creative level
- A full account audit the moment you connect
Playbooks worth starting with
- Brand & Content StrategyTreatonomics: How India & Global Social Commerce Are Driving the “Little Treat” Economy (2026)
- Influencer MarketingHow to Find Micro Influencers in India Who Actually Drive Sales (Not Just Engagement)
- Attribution & MeasurementHow to Build an Influencer Attribution System From Scratch With Zero Tech Resources
- Brand & Content StrategyZero-Click Commerce: Why the Marketing Funnel Is Dead in 2026
- AI Search VisibilityWhat Is Share of Voice in AI Search and How Do You Actually Measure It?
- Paid MediaHow to Cut Your Meta Ads Cost Per Purchase Without Reducing Your Budget
Common questions
How do you measure creator campaigns when customers buy on quick commerce?
By pattern rather than by click. Establish a baseline of daily orders before the campaign, then measure the spike against it in the hours after each post — genuine creator demand appears within a day and decays over about three. Pair that with creator-specific codes where the platform supports them, and with search volume on the retailer app if you can get it. Less precise than owned-channel attribution, and considerably better than treating the channel as unmeasurable.
Stop guessing which half is working
Nia, Noma and Pulse work independently. Start with the one that hurts most.