---
title: Case Studies
description: How B2B and wholesale merchants use IdealData to see what drives their orders and act before revenue slips away.
---

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Case studies

# Real stores. Real signals. Results you can measure.

How B2B and wholesale merchants use IdealData to see what drives their orders and act before revenue slips away.

All stories

B2B distribution

Seasonal wholesale

Newest first

Which ad, call or email brought this order in?

Before 5% 

to

With IdealData 99%

of orders traced to the ad, call or email behind them

B2B distribution Packaging equipment

## [How a packaging equipment distributor went from explaining 5% of its orders to 99%](https://idealdata.io/case-studies/how-a-packaging-equipment-distributor-went-from-explaining-5-of-its-orders-to-99)

eCommerce + Skubana forecasting falls short for seasonal merchants. See how one wholesaler added year-over-year context to every reorder decision with IdealData platform.

[Read the case study](https://idealdata.io/case-studies/how-a-packaging-equipment-distributor-went-from-explaining-5-of-its-orders-to-99)

Reorder signal

Core items missing from the draft PO

Velocity at 122% of the same week last year

Seasonal wholesale Jewelry

## [How a seasonal jewelry wholesaler stopped buying against last month and started buying against last year](https://idealdata.io/case-studies/how-a-seasonal-jewelry-wholesaler-stopped-buying-against-last-month-and-started-buying-against-last-year)

eCommerce + Skubana forecasting falls short for seasonal merchants. See how one wholesaler added year-over-year context to every reorder decision with IdealData platform.

[Read the case study](https://idealdata.io/case-studies/how-a-seasonal-jewelry-wholesaler-stopped-buying-against-last-month-and-started-buying-against-last-year)

99%

of orders traced to their source

Ten tools reported ten different revenue numbers, and nobody could say which ad made which sale.

IdealData matched about 45,000 emails and 21,000 inbound calls to the orders they produced.

The team moved its time and budget out of the channels it had been hoping about and into the ones proven to sell.

+122%

velocity vs. the same week last year

The ERP reordered on the last six to eight weeks, so a seasonal business kept under-buying ahead of every peak.

> “Given the seasonality of our business, having the reference to the year before is huge.”

Reorders now follow last year's seasonal curve instead of last month's lull, so stock is in place before the peak, not after it.

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