Are offline and online retail channels different from each other? Both channels aim to optimize the customer experience, drive traffic & frequency, increase basket sizes and improve sales & margin. Yes, the goals of each channel are the same, but the access to data in the e-commerce world is a major difference. It ultimately improves the channel’s ability to deliver the aforementioned objectives. As part of the Rubikloud team, I’ve had a front row seat to some jaw dropping big data and machine learning projects. (Yes, we are more than a software company!) Luckily, the fixes to retail’s big data and e-commerce challenges are not too difficult, when you have the right tools. Below are four ways we’ve helped global retailers adapt to the data-rich e-commerce world to sell more products.

1. Data and E-Commerce:
By: Avi Mizrahi
How Global Retailers
Are Adapting.

2. Are online and offline retailers
really that different?

3. Both channels share similar goals:
Drive Traffic &
Frequency
Grow Sales, Margin
& Volume
Optimize Customer
Expereience
Increase Basket
Size & Spend

4. Yet, the access to online data
is a major difference.
The abundance of data poses
some common challenges for
large multi-channel retailers.

5. Here are four powerful ways
retailers are using data to optimize
e-commerce sales.

6. 33%
1. Prioritize site search.
Of visitors
use site
search.
Rubikloud's research shows:
66%
Of those who
used site search
purchased
something.
Search

7. What are you looking for?
PRODUCTS SERVICES GUIDES
Let's Get Going!
Our products are guaranteed to last and
our service to you is outstanding.
CONTACT
It's imperative to have a prominent, well
functioning, search capability.

8. 2. Optimize Customer Journey Maps.
88% of US customers research
products online before buying. Make
it easy for them to find and purchase
products on your site.

9. Low Converting
Journeys
Abandoned
Carts
High Converting
Journeys
Frequent journey path analysis will ensure
your site is optimized for sales conversions.
Use tools to visualize and prioritize
the various customer journeys.

10. 3. Know the preferences of desktop vs. mobile
consumers in your retail vertical.
According to recent IBM research, "smart
phones browse and tablets buy." Yet, desktops
are still king (77% of total) when it comes to
online spending. Understand consumer
preferences now and in the future before
investing in technology.

11. 4. Understand your customer data.
Takes Too Long,
Rarely Uncovers
True Insights
80% of insights 'hunting &
gathering' can be automated
Prone To Errors Due
To Poor Data or
Methodology
Fails To Bring Data
Together From
Organizational Silos
Traditional retail analysis and shopper marketing research:

12. Automate your insights discovery process to
improve speed and data driven decisions.
Automated insights frees up significant time (up to
50%) and improves accuracy when analyzing data
from across the retail organization. It informs
teams of relevant insights (NOT reports), so they
can take direct action to improve sales,
margin, and volume!

13. Use Data To Optimize
e-Commerce Sales:
4 Ways Retailers
1 2 3 4
66% 77%
88%
Prioritize e-
Commerce
Site Search
Who Use
Search, Buy
Research Online
Before Buying
Online Sales Come
From Desktops
Time
Savings
Optimize
Customer
Journey
Maps
Understand
Digital
Channel
Preferences
Leverage
Automated
Analytics
50%

14. This SlideShare is based on
a LinkedIn post I wrote. To
read it click here.
If you like the article, please
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feel free to connect
with me.