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  • admin 9:53 am on November 4, 2016 Permalink
    Tags: AnalyticsDE, , , , Williams   

    JD Williams Using Big Data and Marketing Analytics-DE 


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  • admin 9:50 am on September 16, 2015 Permalink
    Tags: Ambitions, , Williams   

    JD Williams Big Data-Driven Ambitions 


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  • admin 9:52 am on September 12, 2015 Permalink
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    Watch How JD Williams Is Using Big Data And Marketing Analytics To Improve The Customer Experience 

    JD WilliamsThere’s no doubt you would learn a great deal about your customers’ behaviors and preferences if you could actually watch over them while they shop online. However, the odds they’ll let you into their homes to take notes –let alone perch like a parrot waiting for a cracker while they shop –are pretty slim.

    Fortunately, the marketing pros at JD Williams, a leading internet and direct home shopping company in the United Kingdom, know another path to that kind of deep customer insight: Teradata Unified Data Architecture and Teradata Integrated Marketing Cloud.

    With more than 20 transactional websites, four million customer accounts and 58% of its sales occurring online, JD Williams has lots of actionable data to sift through, from browser and device behavior, to more granular details like behavior on site. The possibilities for improving the customer experience are endless –but only if the right analytics tools can make sense of all that big data.

    With Teradata’s help, JD Williams implemented a truly data-driven marketing strategy. What does that mean, exactly? According to Alick Rocca, Head of MI/BI-IT at JD Williams, it means relying on data for virtually all marketing decisions.

    “Data-driven means that data is the heart of the business, it drives the decisions… to have people actually using the data in a constructive and positive way all the time,” Rocca says.

    Data driven marketing enables you to be proactive rather than reactive, and to develop a marketing strategy based on patterns of actual customer behavior and interactions –not just a best guess or tradition. The end result? Your customers receive messaging and offers that meet their needs, and you see the positive impact on your bottom line. Better analysis leads to individualized insights… and action.

    For example, JD Williams uses six key segments and build the customer contact strategy around these segments:

    1. Interacting online top shoppers
    2. Offline top shoppers
    3. Interacting online mid-shoppers
    4. Offline low shoppers
    5. Online how shoppers
    6. Not brand engaged

    And to further enhance insights, they combine and enrich the web data with additional sources that are loaded onto the Teradata integrated data warehouse. This Unified Data Architecture environment is able to answer questions such as:

    • How do we know if this email marketing campaign is successful?
    • Did the customer search on a product?
    • Is a particular segment looking at a product?
    • What was the outcome of the customer searching on one product?
    • Is there an affinity to that product?
    • Are there gaps in the product range?
    • What does the cluster diagram look like?
    • Is the price right?
    • If we alter the price, does the customer react?
    • Are customers converting on mobiles or their tablets?
    • What patterns can we predict? What patterns can we not predict?
    • Did the customer abandon the shopping bag and should we send a follow up email?
    • Did the customer return it?
    • Is there a trend building?
    • Can we target this customer based on their browsing habits?
    • Was there a peak in traffic to the website after a TV ad?
    • Does this change our advertisement strategy?

    Take a look at this four-minute video for more details about the strategies and solutions JD Williams is putting to work –and how a data-driven approach could transform your business, too.

    The post Watch How JD Williams Is Using Big Data And Marketing Analytics To Improve The Customer Experience appeared first on Teradata Applications.

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  • admin 9:55 am on July 12, 2015 Permalink
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    JD Williams Using Big Data and Marketing Analytics 


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  • admin 9:51 am on July 10, 2015 Permalink
    Tags: , , , Fashion, Flatter, , , That’s, , Williams   

    JD Williams: Using Big Data and Marketing Analytics to Give Customers Fashion That’s Fit to Flatter 

    Imagine if you could see right over your customer’s shoulder while they’re shopping on your website? You would see the paths they take through your merchandise – the sizing, the descriptions, the full shopping cart – think of how much insight you could get into what’s working or what’s not?  That’s the kind of insight UK retailer JD Williams is getting from their data analytic solutions and much more! JD Williams has integrated their data (merchandising, marketing, customer services, credit and IT) into a Unified Data Architecture™ and is now reaping rewards with a £4M incremental benefit delivered last year alone; just from the use of digital data. But, there is so much more with campaign management (Teradata Customer Interaction Manager), customer user experience on the website and fraud detection.

    nPath™

    nPath™

    JD Williams is the UK’s leading internet and direct home shopping company with over 20 successful catalogue brands which serve 4M customers. With more than four thousand employees, JD Williams has successfully navigated the combination of more than 20 bricks and mortar stores, catalogue, and of course internet retailing.  In fact, JD Williams’ online customers have the ability to carry their shopping cart across all their websites to browse and shop. They’re focus is, “Fashion that’s fit to flatter.”

    One of the key drivers for bringing in Teradata Aster™ was the ability to understand the customer journey on multiple web properties, for both online and mobile. Before, they knew when a customer checked out. Now, JD Williams’ knows what led the customer to check out and all the touch points along the way. Did they arrive via pay-per-click, an email campaign or a specific search?

    Chris Briggs Team Lead & Sr. Analyst

    Chris Briggs
    Team Lead & Sr. Analyst

    “Teradata Aster™ helps look at the bigger picture and summarize the data, so we can refine our requirements if needing to bid optimization. One of the things we found with Aster is customers behave differently on different devices. So we found some customers will look at products, perhaps on the way to work, on a mobile device. Later in the day, they actually come back and purchase via desktop. So knowing that information and being able to run that for attribution is really important.” – Chris Briggs, Team Lead & Sr. Analyst, JD Williams

    Teradata Aster™ also looks into buying patterns “in a much deeper way,” says Alick Rocca, Head of MI/BI-IT.  “So when somebody looks at a product, you look at the other products that they’re looking at at the same time, and then you can see an affinity between those products. Then you can do a cluster diagram with the help of the data scientists and Teradata, and actually you can see patterns. It shows the patterns you predict and it shows you patterns you wouldn’t have predicted.” – Alick Rocca, Head of MI/BI-IT

    Now JD Williams uses the click stream data coupled with the analytics from Teradata Aster™ to show the affinity between products. When a customer comes to JD Williams to buy a ‘beach maxi dress’ analytics show that they are likely to continue purchasing items like a swimsuit or undergarments to go with the dress. Knowing the connection gives them the opportunity to build the webpage to promote the purchase of affinity items or have the ability to know which items to restock when they order more dresses.

    Alick Rocca Head of MI/BI-IT

    Alick Rocca
    Head of MI/BI-IT

    Another example, looking even deeper into the analytics showed that customers weren’t buying the usual affinity products (a shirt and a scarfto go with it).  “When you look at more detail, it’s actually because there’s a mailing that went to people, so there’s one item on there that’s very popular, and then started looking at other items on there. You wouldn’t necessarily have guessed that they would look at those items, it also told you that they weren’t looking at the main catalogue at the same time. So now we know if we do an advert like that again, we have to have a reference point to push them back to the main catalogue, so they don’t just buy from that local cluster of items,” Alick explains.

    With Teradata Integrated Marketing Cloud, JD Williams is reaching all 4M customers on the channel they prefer, with the agility to reach those customers that start their shopping experience on mobile and finish with their tablet or desktop. The Teradata Customer Interaction Manager (CIM) uses data from the integrated data warehouse and automatically segments the right offer from a diverse group of 20 websites to go the right customer on their preferred channel.

    Thank you and congratulations to JD Williams for all your success!

     

    The post JD Williams: Using Big Data and Marketing Analytics to Give Customers Fashion That’s Fit to Flatter appeared first on Insights and Outcomes.

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  • admin 9:47 am on March 17, 2015 Permalink
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    JD Williams selects Teradata Aster to build omni-channel picture of customer behaviour 

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  • admin 9:56 am on February 28, 2015 Permalink
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    J D Williams and Co Ltd Selects Teradata Aster to Build Omni Channel Picture of Customer Behaviour 

    Prominent UK retailer will use Aster technology to gain customer insights and track effectiveness of marketing campaigns.
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