Worldpay credit card processing #credit #card #processing, #credit #card #processors, #credit #card #services, #credit #card


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WorldPay Credit Card Processing

When using credit cards, the retail discount rate is 1.99 percent, which is worse than average for credit card processors. The fixed fee per credit card transaction is $0 USD, which is among the best. making this merchant’s services more attractive.

Credit card processors typically charge a monthly account fee for general and administrative services associated with their product. The monthly account fee for WorldPay is $9.95 USD, which is about standard.

Credit Card Fees

retail discount rate (Credit card)

retail transaction fee (Credit card)

$0 United States dollars

Retail Discount Rate (Credit Card)

Retail Transaction Fee (Credit Card)

All Card Processors

Debit Card Fees

retail discount rate (Debit card)

retail transaction fee (Debit card)

$0 United States dollars

Retail Discount Rate (Debit Card)

Retail Transaction Fee (Debit Card)

All Card Processors

Click here to view a sorted list of processors with the lowest transaction fees

Online Account Fees

online discount rate

gateway transaction fee

$0.15 United States dollars

Click here to view a sorted list of processors with the best retail discount rates

Mobile Details

Mobile Read Method

Administrative Fees

Monthly Fees

monthly account fee

$9.95 United States dollars

monthly minimum fee

$0 United States dollars

monthly gateway fee

$15 United States dollars

Activation + Cancellation

$0 United States dollars

early cancellation fee

$0 United States dollars

Credit card processors charge a wide range of fees. Use the home page to sort and filter by account fees, transaction fees or ratings. You can click the button below to view processors with no monthly fees. or set the filter for a specific fee minimum.

See all Credit Card Processors with
No Monthly Fees >>

Credio is a finance site that uses Graphiq’s semantic technology to deliver deep insights via data-driven articles, visualizations and research tools.


Sony SSC-520AM, SSM-721AMR, RV backup camera repair #remote #time #machine #backup


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Sony RV backup camera repair new systems

Repair of Sony RV Backup cameras SSC-520AM Camera SSM-721AMR monitor – flat rate repair. I only repair this model of camera and monitor.

Sony RV backup cameras – normally only the camera fails so it is not necessary to send the whole system. If the screen on the monitor lights up it is generally a good indication that the monitor is okay. There is a connector on the camera cable about one to six feet back from the camera. A $75 diagnostic fee will be charged if no fault is found. You should send the camera through the Post Office. In the US the customs description should be be broken video camera-zero value or additional duty charges will apply. -90 day warranty

I have one like new Sony SSM-721AMR monitor for $450 ($333 USD) + shipping.
I have one used Sony SSM-621AM monitor for $350 ($259 USD) + shipping
I have one used Sony SSM-620AM monitor for $350 ($259 USD) + shipping
I have refurbished SSC-520AM cameras for $450 ($333 USD) + shipping.
I have one new VK-120A 66′ camera cable for use with the SSC-520AM camera monitor for $95 ($70 USD) + shipping.
I have one new SSC-520AM camera system with SSM-721AR monitor and camera cable for $925 ($684) + shipping.
I have one used Sony VCB-MH1 camera for $495 ($356 USD) + shipping
I have one new Sony VCB-MH3 camera for $495 ($356 USD) + shipping

The cameras connectors on the right are all compatible with each other but different dimensions .

VCB-MH1 == 3-1/2 x 2 1/16
VCB-MH3 == 3-9/16 W x 1-9/16 ?>

Predictive Analytics World 2017: New York, San Francisco, Chicago and More – a data science


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Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

  • Predictive Analytics World

    Cross-Industry, Cross-Vendor Sessions

    The only conference of its kind, Predictive Analytics World delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail.

    Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers, employees, students, voters, patients, equipment, and other organizational elements optimizes performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

    • Meet the vendors and learn about their solutions, software and services
    • Discover the best predictive analytics vendors available to serve your needs
    • Learn what they do and see how they compare.
    • Mingle, network and hang out with your best and brightest colleagues
    • Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you.

    If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options! And in the meanwhile get started right away with the Predictive Analytics Guide.

    Analytical Worlds Blog

    by Conference Chair Eric Siegel, Ph.D.

      Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Richard Semmes at Siemens PLM
    • By: Bala Deshpande, Conference Co-Chair, Predictive Analytics World for Manufacturing 2016 In anticipation of his upcoming Predictive Analytics World Manufacturing Chicago, June 19-22, 2017 conference.

  • SSD VPS Hosting, Cloud Virtual Servers and Cloud Hosting #ssd #vps #hosting, #vps, #cloud #server,


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    4.9 Overall Satisfaction Rating

    “I’ve been with Serverpoint for over 16 years. the hosting services are very reliable and responsive. This might be said of many hosting services. What I believe is extraordinary with Serverpoint is the support. Always timely and always effective. And I always get the sense that they really care about helping me get a problem resolved. Never sense that they hope I’ll just go away, as in some other services I’ve dealt with over the years. Enthusiastically recommend.”

    “I was having trouble getting my Android phone connected to my email account. I connected with someone named Jani via the chat box. This person was very helpful and had me up and going within minutes. This was a great customer service experience and makes me glad our company uses ServerPoint for our email hosting.”

    TN, United States

    “I have been a customer of ServerPoint for almost 20 years. The team of support technicians have been the most professional and knowledgeable individuals anyone could ask for. They are committed to Customer Service and Problem Solving (which are few and far between) and have provided Rock Solid Performance in their Shared Hosting and Dedicated Server Plans which I have employed over the years. If you are looking for a reliable Hosting Provider give them a try!”

    MO, United States


    Credit Card Processing – Virtual Terminal Machines #credit #card #machines #for #small #business, #credit #card


    Credit Card Machines for Small Businesses

    Get a Credit Card Machine for Your Small Business

    BluePay offers its customers credit card machines for small business to help you grow and thrive.

    • Attract new customers and increase sales by accepting credit, debit cards and ACH/eCheck payments
    • Improve customer service, reduce checkout wait times and process transactions remotely using a wireless credit card machine for small business
    • Protect your credit card transactions with the latest PCI-compliant solutions, including point-to-point encryption, (P2PE), address verification system (AVS) and an innovative suite of fraud management tools

    Integrate Payments Into Your Small Business Software

    The BluePay Gateway can easily integrate into your small business software. In fact, our technology integrates seamlessly with dozens of software programs — from accounting to payroll to CRM systems — to keep your small business running at peak performance levels.

    Enjoy Quick Processing with BluePay’s Credit Card Machines for Small Business

    Our machines offer the latest technology features like EMV, NFC and Apple Pay, so your small business can operate more efficiently. Customers will experience quick and easy checkouts at the cash register, and you’ll impress them with your “anytime, anywhere” payments via wireless credit card machines for small business. Take advantage of using equipment designed with small businesses in mind.

    Small Business Credit Card Machine Options

    BluePay offers a variety of terminals so you can find just what you need.

    • Stand-AloneCredit Card Terminals
      These are the traditional machines you see everywhere. They’re perfect for in-person, card-present transactions. These machines function in many ways: mag stripe, EMV, NFC and more. For a complete list of BluePay standalone terminals, click here .
    • Wireless and Mobile Credit Card Processing Machines
      Wireless card machines work in a way that’s similar to stand-alone terminals, but they offer the ability to process payments when you don’t have access to a phone line. In addition to wireless equipment, BluePay also offers the mobile Payfirma HQ app for your tablet or smartphone. Using this app with an encrypted mobile card reader, merchants can accept credit and debit cards on iPhones, iPads and Android devices. Process payments from anywhere in your store or even on the road with either of these wireless options — perfect for drivers, delivery workers, service industries or anyone who spends time away from the workplace.
    • Virtual Credit Card Terminals
      A virtual terminal lets you accept card and ACH/eCheck payments from any computer with an Internet connection. Simply enter the payment data manually or upload multiple transactions in a single batch for efficient, accurate processing. This is the ideal solution for the small business merchant who works from home or processes mail order and telephone order transactions.

    UCI Machine Learning Repository: Online Retail Data Set #book #retailers


    #online retail

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    Data Set Information:

    This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

    InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter ‘c’, it indicates a cancellation.
    StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product.
    Description: Product (item) name. Nominal.
    Quantity: The quantities of each product (item) per transaction. Numeric.
    InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated.
    UnitPrice: Unit price. Numeric, Product price per unit in sterling.
    CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer.
    Country: Country name. Nominal, the name of the country where each customer resides.

    The evolution of direct, data and digital marketing, Richard Webber, Journal of Direct, Data and Digital Marketing Practice (2013) 14, 291–309.
    Clustering Experiments on Big Transaction Data for Market Segmentation,
    Ashishkumar Singh, Grace Rumantir, Annie South, Blair Bethwaite, Proceedings of the 2014 International Conference on Big Data Science and Computing.
    A decision-making framework for precision marketing, Zhen You, Yain-Whar Si, Defu Zhang, XiangXiang Zeng, Stephen C.H. Leung c, Tao Li, Expert Systems with Applications, 42 (2015) 3357–3367.

    Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197–208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).


    UCI Machine Learning Repository: Online Retail Data Set #retail #jewelry


    #online retail

    #

    Data Set Information:

    This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers.

    InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter ‘c’, it indicates a cancellation.
    StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product.
    Description: Product (item) name. Nominal.
    Quantity: The quantities of each product (item) per transaction. Numeric.
    InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated.
    UnitPrice: Unit price. Numeric, Product price per unit in sterling.
    CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer.
    Country: Country name. Nominal, the name of the country where each customer resides.

    The evolution of direct, data and digital marketing, Richard Webber, Journal of Direct, Data and Digital Marketing Practice (2013) 14, 291–309.
    Clustering Experiments on Big Transaction Data for Market Segmentation,
    Ashishkumar Singh, Grace Rumantir, Annie South, Blair Bethwaite, Proceedings of the 2014 International Conference on Big Data Science and Computing.
    A decision-making framework for precision marketing, Zhen You, Yain-Whar Si, Defu Zhang, XiangXiang Zeng, Stephen C.H. Leung c, Tao Li, Expert Systems with Applications, 42 (2015) 3357–3367.

    Daqing Chen, Sai Liang Sain, and Kun Guo, Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197–208, 2012 (Published online before print: 27 August 2012. doi: 10.1057/dbm.2012.17).