How Cuddle helped Kathryn find out why sales in her region were low
Kathryn is the Regional Manager of the west region of a fictitious company, Bauer. This company sells its products to retailers in the US through sales representatives. The data contains information about sales and distribution, marketing activities like discounts and promotions, and sales targets.
One fine morning, Kathryn got a notification from Cuddle saying that sales in her region was down. She then asked Cuddle a series of questions to find out what might have caused this decline in sales. She was successfully able to identify the core areas that needed her attention and share them with the concerned person in her team. Here’s a video showing her full journey :-
1. She gets a notification that Sales Achievement in West Region was down
2. She then benchmarked the sales achievement of west across other regions
3. She then asked which sales representative is pulling down the achievement for west?
She found that there was an issue with the Sales Achievement of one of the sales representative — Ryan Knox.
4. Next, she asked for the achievement of Ryan Knox across retailers
She found out that his achievement was lowest for a particular reatiler — Target.
5. Next she wanted to know the subbrand has the lowest distribution in Target for Ryan
She found out that it winkle-dark was the subbrand that had lowest distribution in target for ryan.
6. She then asked if the distribution of winkle dark an issue in all stores of target
She found out that only one store — Target-Los Angeles had the lowest distribution of winkle-dark.
7. She now wanted to find out if the distribution of winkle dark in Target-Los Angeles store was a recent issue or not?
She found out that this was a very recent issue and that is why she got the alert for lower sales achievement in her region.
8. She then shared the insight with a concerned person from her team to look after it.
