Shopify & e-commerce
Know why the sales moved.
Put what shoppers do on your store next to your orders, inventory and ad spend, then ask in plain English. Did a product stop selling because people lost interest, or because it ran out? Which campaign brings buyers, not browsers? Crunch investigates across all of it — and shows exactly how every number was counted.
Free to start · fully self-serve
Live — “Wine revenue fell from September 10 to 24 compared with August 18 to September 1. By how much, and which wine carried it?”
Inside one investigation · a Shopify store
Out of stock, not out of favor
The data, joined
- The store’s pixelevery product view, add-to-cart and checkout
- Order lineswhat sold, and for how much
- Inventory levelsstock on hand, per product, every day
- Products and refundsthe catalog and what came back
The questions
“Wine revenue fell from September 10 to 24 compared with August 18 to September 1. By how much, and which wine carried it?”
“Pet-Nat Rosé sold nothing from September 10 to 24. Was that because fewer people wanted it, or because it was out of stock?”
What Crunch did
- Compared wine revenue across two 15-day windows and split the change by wine — one rosé carried $3,784 of the $4,890 drop.
- For that rosé, put sales, product views and add-to-carts side by side for both windows.
- Checked daily stock on hand, then weighed both explanations — without claiming more than the data shows.
The answer
Shoppers kept looking; they just couldn’t buy. The data points to out of stock, not lost interest.
Your store, your exports, one conversation
No pipeline to build, no analyst to hire. If you can add a pixel and download a report, you can ask Crunch.
Add the pixel
Add the BumbleB custom pixel under Settings → Customer events. Product views, carts and checkouts start flowing from the day you install.
Upload your exports
Orders, inventory, products, refunds, ad spend — download them from Shopify or your ad platforms and upload the files.
Ask across all of it
“Why did wine sales drop? Which campaign brings repeat buyers?” Crunch joins the datasets and answers with the reasoning attached.
Shopify today, built to extend to other e-commerce platforms.
Questions it answers
From product views to profit
“A product stopped selling — did people stop wanting it, or did we run out?”
“Where do shoppers drop between cart and checkout?”
“Which products get viewed but not bought?”
“Which campaign brings buyers, not browsers — and what does an order cost?”
“Orders fell after we changed shipping. Was it the shipping?”
“Which products come back as refunds, and why?”
Watch it work
Investigations on a store
Each clip is one question and the investigation behind it — the store’s clickstream joined with the data a merchant already has.
Out of stock, not out of favor
“Wine revenue fell from September 10 to 24 compared with August 18 to September 1. By how much, and which wine carried it?”
Two turns across five datasets — orders, inventory, products, refunds and the store's pixel: wine revenue fell from $10,664.30 to $5,774.20, almost all of it one rosé. Its views held (4,426 vs 4,423) but stock sat at zero all 15 days — the data supports out of stock, not lost interest.
The checkout that loses phones
“Walk me through our store funnel — product views to cart to checkout to purchase. Where do we lose the most people?”
7,000 view a product, 5,000 add to cart, 3,600 start checkout — and only 1,320 buy. The biggest loss is the last step, 2,280 people. Split by device: 60% of desktop shoppers who start checkout finish it, against 25% on mobile.
The flat quarter, split
“Revenue's flat quarter over quarter. Overall, what changed underneath — the number of orders or their size — and in which region is the order size moving?”
An orders table, no tracking involved: orders rose from 8,000 to 8,800 while the average order shrank — and it's all the West, down $40 an order while every other region rose.
Point Crunch at your store
Add the pixel, upload an export, and ask your first question — no analyst, no dashboard, no wait.
Sign up freeFree to start · fully self-serve