eCommerce Dashboard Sales Overview 2018 W30

Desciption

Dashboard: eCommerce – Sales Overview 2018 W30
This dashboard provides insights into the sales performance of an eCommerce business. It allows to compare revenue and marketing costs, to analyze product details, to compare product revenue and pricing, and to break down data silos by combining Adobe Analytics data with other data sources.

Overall Summary
This dashboard provides insights into the sales performance of an eCommerce business. It allows users to compare revenue and marketing costs, analyze product details, compare product revenue and pricing, and break down data silos by combining Adobe Analytics data with other data sources.

Benefits of Using the Dashboard
This dashboard provides valuable insights to digital marketers, analysts, and eCommerce businesses. It allows users to identify product categories or products which sell poorly despite high investments in advertising, and to compare pricing information about competitors to understand why a specific product suddenly sells worse.

Who Can Use the Dashboard
This dashboard is beneficial for digital marketers, analysts, and eCommerce businesses. It allows users to gain insights into their sales performance, identify areas of improvement, and make informed decisions about their products and pricing.

How the Dashboard Can Benefit Users
The dashboard allows users to compare revenue and marketing costs, analyze product details, compare product revenue and pricing, and break down data silos by combining Adobe Analytics data with other data sources. This allows users to identify product categories or products which sell poorly despite high investments in advertising, and to compare pricing information about competitors to understand why a specific product suddenly sells worse.

Data

REVENUE
80%
of target
9,205Kâ‚¬
eCommerce
Dashboard
MARKETING COSTS
CATEGORY REVENUE IN â‚¬
Category LBG 2,729K
Category HUT 2.307K
eCommerce – Sales Overview 2018 W30
Category WER 2,284K
Category GFE 1,885K
REVENUE & COSTS
(1) Total Revenue
A
(2) Revenue &
Marketing Costs
PRODUCT DETAILS
Product NCO
Product CLY
Product HYW
Product FQD
Product CQE
Product PYR
PRODUCTS IN CATEGORY WER
PRODUCT REVENUE IN
467K
300K-
SOK
(3) Product Details
501K
520
463K
454
500-
312
REVENUE FOR PRODUCT NCO
(4) Product Revenue
Jul 5 Jul 10 Jul 15
NUMBER OF ORDERS
914
1,587
1,042
997
PRICING FOR PRODUCT NCO
Jul 20
Jul 25
Jul 30
we
competitors
(5) Product Pricing
BREAK DOWN DATA SILOS BY COMBINING
YOUR ADOBE ANALYTICS DATA WITH THOSE
FROM OTHER DATA SOURCES
Situation
Adobe Analytics data alone, such as website visits or
information about sold products, often isn’t enough to provide a
complete picture. Only by connecting them with data from
other sources, you can understand the factors that are affecting
the data and find explanations for outliers or significant
changes
Examples
By comparing your sales data tracked by Adobe Analytics with
your marketing costs saved in an ERP system or a flat file such
as excel you can identify product categories or products which
sell poorly although you invest a lot of money in their
advertising.
By integrating pricing information about your competitors you
might get insights about why a specific product suddenly sells
worse compared to the previous weeks, e.g. because one of
your competitors reduced their price.
Challenges
The data needed by digital marketers and analysts is
distributed across many data sources: digital analytics, search
Solution
With Date Virtuality, you
can combine Adobe Analytics
data with various data sources
(search, social, CRM, pricing,
etc.) by using one of their 200+
data
virtuality
Data Virtuality also allows to easily access the data through
Tableau to build visualizations and interactive dashboards
Hopmann