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

Data and E-Commerce How Global Retailers Are Adapting

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Data and E-Commerce:

By: Avi Mizrahi

How Global RetailersAre Adapting.

Are online and offline retailers really that different?

Both channels share similar goals:

Drive Traffic &Frequency

Grow Sales, Margin& Volume

Optimize CustomerExpereience

Increase BasketSize & Spend

Yet, the access to online datais a major difference.

The abundance of data posessome common challenges forlarge multi-channel retailers. 

Here are four powerful waysretailers are using data to optimize

e-commerce sales.

33%

1. Prioritize site search.

Of visitorsuse sitesearch.

Rubikloud's research shows:

66%Of those whoused site searchpurchasedsomething.

Search

What are you looking for?

PRODUCTS SERVICES GUIDES

Let's Get Going!

Our products are guaranteed to last andour service to you is outstanding.

CONTACT

It's imperative to have a prominent, wellfunctioning, search capability.

2. Optimize Customer Journey Maps.

88% of US customers researchproducts online before buying. Makeit easy for them to find and purchaseproducts on your site.

Low ConvertingJourneys

AbandonedCarts

High ConvertingJourneys

Frequent journey path analysis will ensureyour site is optimized for sales conversions.

Use tools to visualize and prioritizethe various customer journeys.

3. Know the preferences of desktop vs. mobileconsumers in your retail vertical.

According to recent IBM research, "smartphones browse and tablets buy." Yet, desktopsare still king (77% of total) when it comes toonline spending. Understand consumerpreferences now and in the future beforeinvesting in technology.

4. Understand your customer data.

Takes Too Long,Rarely Uncovers

True Insights

80% of insights 'hunting &gathering' can be automated

Prone To Errors DueTo Poor Data or

Methodology

Fails To Bring DataTogether From

Organizational Silos

Traditional retail analysis and shopper marketing research:

Automate your insights discovery process toimprove speed and data driven decisions.

Automated insights frees up significant time (up to50%) and improves accuracy when analyzing datafrom across the retail organization. It informsteams of relevant insights (NOT reports), so theycan take direct action to improve sales,margin, and volume!

Use Data To Optimizee-Commerce Sales:

4 Ways Retailers

1 2 3 4

66% 77%

88%

Prioritize e-CommerceSite Search

Who UseSearch, Buy

Research OnlineBefore Buying

Online Sales ComeFrom Desktops 

TimeSavings

OptimizeCustomerJourneyMaps

UnderstandDigital

ChannelPreferences

Leverage Automated Analytics 

50%

This SlideShare is based ona LinkedIn post I wrote. Toread it click here.  

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