Ad Engine — set targets, generate a campaign & keyword plan, tick off what you actually do, and let it learn from every week.
v3 · checklist · learning
Step 1 — Upload your filestap to expand / collapse
Drop everything at once below, or open a section and add files there. Auto-detected — order doesn't matter. Processed locally; nothing leaves your browser.
Drag & drop files here
or click to browse
Pulls reports from your Worker. Manual upload still works.
🎯 Amazon ad reportsneeded to generate0/4
Brand Analytics
Top Search Terms — waiting
Campaign report
Advertising — waiting
Advertised product
Advertising — waiting
Search term report
Advertising — waiting
📚 Catalog & ordersrecommended0/2
Master data
SKU / category .xlsx — waiting
Orders report
SKU/ASIN sales — waiting
📦 Stock by locationoptional0/3
My warehouse stock
tap to upload — waiting
Amazon (FBA) stock
tap to upload — waiting
Flipkart stock
tap to upload — waiting
Myntra stock
SJIT — provision (now via My warehouse)
📈 Sales history by channeloptional · forecasting0/3
Amazon sales history
12mo — waiting
Flipkart sales history
12mo — waiting
Myntra sales history
12mo — waiting
Recording operator changes. In any action tab (especially Campaigns to create) download the CSV, fill set_bid / set_daily_budget / set_asins with what you ACTUALLY set, mark done=yes, then re-upload via that tab’s “⬆ Upload” button. The portal stores your overrides and shows “operator set” beside each recommendation, so it knows what changed.
Step 2 — Set your targets
Target ACoS
10%
5%aggressive ◄ ► volume40%
₹
%
Negatives at ≥ clicks & 0 sales · min spend to act ₹
Categories you operate in
Step 3 — Your plan
Targets & snapshot
Projected impact — updates as you tick actions Done
Market & share
Category market size & your share
Upload your Orders report (ASIN-level monthly sales) in Step 1, then anchor on one category whose market share you know. The engine sizes every category from the Brand Analytics demand mix, computes your share, and shows the rupee whitespace. Sales are read from your orders file; market sizes are modelled, so treat them as directional.
%
Tracking & learning
Week on week
Saving a snapshot commits this week's decisions into the engine's memory. Next week it checks your new data against that memory — repeat waste that never got fixed, winners that slipped, and bid-downs the fix rescued all surface in the Lessons tab.
Commit this week
Saving stores ACoS / GV / conversion vs target and folds every flagged term into the ledger.