Using eBay ananlytic app MyStoreAnalyst.com is easy and intuitive. We created this step-by-step user guide as a helpful tool to help you along the way.

Registration

RegistrationRegistration is very simple. We just need you to fill in your email address, which will also serve as your username.

Check the ‘Get fresh tips and special promotions’ option and we will send you tips on how to make your eBay business even more successful as well as occasional discount coupon and free analyses offers.

Registration: www.mystoreanalyst.com/app/sign/up

Sign-in and app access

The link to sign-in is located on our web in the top menu or you can enter the following link into your browser: www.mystoreanalyst.com/app

Enter your email and password and you’re in!

Adding a new seller

If you have not added any sellers yet, you will see a purple icon ‘New’ on your user dashboard. Click on it.

If you are already analyzing a seller, you can add another by clicking on the first tile.

 

1. Selecting a marketplace

We currently provide eBay as the only Marketplace option. Click on the green ‘Select’ button.

Select marketplace - eBay

 

2. eBay sign-in

When adding your very first seller, you will need to sign in to eBay. Sign-in is only necessary with the first seller you add. eBay only provides user data to its registered users. We do not have access to your sign-in details.

  • Click the green ‘Go to eBay’ Login button
  • This will take you to the eBay sign-in page
  • Enter your sign-in eBay info
  • On the next page, click ‘Agree’
  • eBay will redirect you back to our app

 

3. Selecting the seller you want to analyse

Enter or select a seller for analysingYou can add the seller in several ways:

  • Select your account
  • Enter your chosen seller
    • Enter link to one of the seller‘s listings
      (e.g. https://www.ebay.com/itm/an-interesting-item/312190653856?…)
    • Enter seller‘s username
  • Select seller who you have already analysed in the past

Then click ‘Continue’

 

4. Select your plan

Data acquisition planYou can select one option to get data from the past (30 – 90 days) and one for monitoring current sales (from 30 days up to a year).

Free plans are offered for analysing smaller-scale sellers.

For a thorough, accurate analysis, it is necessary to choose both options. Active items monitoring yields accurate data and the seller can be scrutinized over a longer time period. On the other hand, quick sales overview and past selling performance can be seen in the history analysis.

You will see the number of items the seller is currently listing or listed in the past on your left.

 

5. Order summary

Overview of your selected payment plan and overall service price.

If you have a coupon to redeem, you can enter it here (click ‘Add coupon’).

Then click ‘Continue’.

 

6. Payment

Billing data(Sellers who only have listed only a few items are analysed free of charge, so a payment prompt will not be shown.)

In this step, first enter your billing information. For payment verification, all we need is your name. Information is stored on your profile. It only needs to be entered once, or in the event you would like to update your details.

Click ‘Pay’.

 

PaymentA payment window will pop up. You can check out via Paypal or with your payment card

Payments are processed by Braintree, a large-scale payment service provider, as our payment processor, who only lets us know if your payment went through.

Once payment is received, we begin downloading data from eBay and preparing them for your analyses. This usually takes several minutes to an hour (depending on the number of items the seller has listed and the number of orders from our other users).

In a few moments, you can already try and see if your analysis is prepared, or you can wait for our confirmation email about analysis completion.

If for any reason you cannot complete your payment now, you can pay for it later in the Order list.

 

Analyses

You can access seller analyses in several ways:

  • From the app’s dashboard, which features a list of all your added sellers
  • By clicking the Analyses menu in the top row – a list of all sellers will appear, with the option of filtering
  • From the notification email you received about the completion of data analysis, or from the email containing payment confirmation or your order summary

eBay analyses layoutEach analysis screen is divided into a left section, where you will find the seller’s profile photo at the top (if they have uploaded one), the seller’s username with a link to their eBay profile and name of their store (if the seller has an eBay store). A menu with links to individual seller analyses follows.

The top section usually features a date filter for setting time frames and filtering individual dates. On the right there is a window with information about the latest data update (click the ‘ i ‘ icon for more information). The ‘ ? ‘ opens a help window for the given analysis.

 

Setting up a date filter

The date filter can be set so that the analyses include:

  • All available data
    Default filter, the presets can be deleted by the ‘ x ‘ button next to the date
  • Beginning and end date (e.g. 07/01/2018 – 07/11/2018)
    Click the beginning date and then click the end date
  • Dates beginning on a specific day, ending with now
    Only click on the beginning date

 

Analyses visualizations

The top part of each analysis usually holds several boxes with summarized information. Beneath them you will find more detailed information.

Graph detail - speciofic valueGraph orderingAnalyses usually consist of various graphs (column, bar, etc.). If you move your cursor over a specific area of the graph, the specific value for that region will be shown.

Certain graphs (especially those showing categories) can be ordered by sales or alphabetically. Data shown in tables can be filtered and ordered by the selected column.

 

Individual analyses

Basic user help info for each analysis can be always found by clicking on the purple ‘ ? ‘ button in the top right corner of the screen.

Our analyses are highly intuitive and self-explanatory. Tips on how to utilize information from these analyses can be found on our Blog.