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store & product perf news

jean bernard della chiesa avatar
Written by jean bernard della chiesa
Updated over 11 months ago

Here are a few new features to make your life easier when using store and product perf!

1) Save column configurations

Analyzing transformation performance, the basket, markdown usage or preparing an extraction are all reasons to change column configurations in store perf or product perf.

No more doing and redoing! Now you can save each of your configurations and switch from one to the other with a single click, just as you already do for filters.

So in the column screen, when you've created the configuration you want, click on "save".

Then enter a name for your configuration and you're done!

You'll be able to build up a set of configurations that you'll find again just by clicking on its name.

2) Switch to full screen

Does the selection header of your analysis parameters take up too much space and disrupt your reading of the indicators? especially on cell phones?

We understand you, so we've created a full-screen mode. Activate it with the dedicated button, and your screen will be fully utilized, giving you maximum comfort in your analysis.

3) Progression in % or in value

We often want to see the progression (vs. Y-X) in %, but at other times we'd prefer to see it in value... but we don't want to multiply the columns, which is not easy....

So we've created the progression selector.

This allows you to switch between % and value with a single click. Try it and you'll understand right away.

4) The product perf drill down

You're doing an analysis in product perf at department level, and then a department's performance catches your eye and you'd like to see what's hidden at the next hierarchical level?

Just click on the department's line and you'll automatically move down to the next hierarchical level.

and if you want to go back, very simple, with the left arrow you can go back to the next level...

Last but not least, it's only natural that in your analysis you end up moving on to a product visualization analysis, to gain a better understanding of the customer's appetite for and behavior towards your offer (not all answers can be just columns ;-).

To do this, click on the three dots at the end of the line you're interested in and let them guide you.

5) compare the revenue contribution (penetration) of a product group between stores

In store perf, you could already limit store performance to certain products using the product filter.

But this only gave you an absolute value of store revenue per store, which didn't allow you to compare performance according to the size of each of these stores.

Now, when you add a product filter to store perf, the % revenue column automatically appears in association with the revenue column.

You then have the contribution to revenue of each store in the product group selected with the filter, and the evolution in number of points of this contribution vs. the year of comparison.

Like all columns, you can sort on value or progression.

This makes it easy to compare the relative performance of different stores.

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