Largest Convention In Payment History

Money 20/20 was billed as the largest convention in payments history held in Las Las Vegas, during the last week of October 2015.

The show delivered well-organized, incisive content such as Europay, MasterCard and Visa (EMV) migration, mobile payments, security and omnichannel commerce.

20/20 Highlights

• Alternative lending and credit.
• Bill Payments, Financial Services: Newly released market research provides insights into the future of household bill payments, millennials, and financial services.
• Connected Commerce and the Mobile Enterprise: The Internet of Things is changing the way that consumers interact with their environments. Analysts predict up to 30 billion interactive devices will be connected to the Internet by 2020, noting that many of these devices will be payment-enabled.
• Marketing and Customer Experience: Most marketers agree that the era of demographic profiles and pull marketing is over. Retailers, card brands and information technology professionals looked at the customer experience in the digital world. They explored new marketing practices, trends in e-commerce and mobile commerce, and big data findings in other industries that may be useful to financial service companies.
• Mobile Banking: Banks are undergoing an incremental transformation as they learn to compete with nonbank lenders, balance cash management with digital currencies, and shift from local branches to online and mobile forms of banking.
• Mobile Payments: Payments analysts reviewed Apple Pay a year after its launch and a range of other mobile wallet offerings, and they speculated on how third-party wallets will impact bank apps.
• Payment Card Evolution: Payment card issuers, processors and network service providers analyzed the changing look, feel and role of payment cards in the greater ecosystem. Discussions ranged from card linking to the coolness factor of gift cards to how e-cards are expanding market opportunities.
• POS, Processing and Open Platforms: Executive roundtables with leading acquirers explored front-end and back-end technology and omnichannel commerce for small and midsize businesses.
• Regulatory Landscape: Increased federal and state oversight has had a significant impact on the financial services sector.
• Security: Security analysts made in-depth presentations on tokenization, end-to-end encryption, and secure methods of authentication designed to protect consumers, merchants and industry stakeholders from cybercriminals. Many agreed that EMV implementation in the United States will drive fraudsters to the card-not-present space. They discussed how EMV adoption has changed fraud patterns in other regions and offered examples of best practices geared toward identifying and preventing electronic payment fraud.

More than 10,000 attendees and 3,000 exhibitors from 75 countries attended Money20/20. Financial services professionals from mobile, retail, marketing services, data and technology met at what show organizers described as the intersection of mobile, retail, marketing services, data and technology.

The years to come will be a turning point in the payments sector, and with the recent shift to EMV, the entire conference confirmed that all the players are more interested than ever in finding innovative solutions for combating online fraud.

 

 

Posted in Best Practices for Merchants Tagged with: Apple Pay, big data, bill payments, card-not-present, e-commerce, electronic payment, EMV, EuroPay, financial services, Gift Cards, MasterCard, merchants, Mobile Payments, mobile wallet, payments, POS, processors, Service providers, tokenization, visa

Big Data Not Just for Customer Insights

Over the last couple of years, Big Data has become a huge buzzword in the business world. Whether this data comes from social networks, purchase histories, Web browsing patterns or surveys.

The vast amount of consumer information that brands can gather and analyze has allowed them to improve and personalize their customers’ experiences. But for all the attention Big Data has received, many companies tend to forget about one application of it…Employee Engagement.

When done in the right way, tracking, analyzing and sharing employee performance metrics can be very beneficial for both you and your staff. One of the things that is very powerful is being able to analyze real-time information, boil it down into performance data and empower employees with reports from that data. If you can provide employees with data to do their job better in a succinct, actionable way, it’s very motivating.

The more Big Data can be incorporated into an intimate individual experience, the better. This demonstrates to the employee that the experience is not just off the shelf and that it is relevant to the person. This personal relevance is shown to deliver higher engagement.

Applying Big Data analytics to employees’ performance helps identify and acknowledge not only the top performers, but the struggling or unhappy workers as well.

If you want to introduce analytics technology to your employee engagement strategies, below are a few tips to help you.

Find a program that integrates with your current systems. For any new software that you implement within your company, it’s important to make the transition as seamless and simple for your employees as possible.

The software has to work where the employees work already. You can’t make them switch tasks and go to another platform to aggregate the data stream. The software should genuinely assist the end user. Your choice of software should be a grassroots decision, and you should have buy-in from your employees before you ask them to use the new system.

Consider how employees will view themselves and others. Once you introduce performance and engagement analytics into your company, you’ll have to consider how that program fits into employee relationships and workplace culture as a whole.

A company needs to take into consideration the actions of the employee’s co-workers and how to make these data points of interest to the employee. This helps to foster a respected and trusting engagement experience and data needs to be used to build trust. No matter what solution you choose, an analytics program moves you away from the traditional manual reporting process of performance measurement; helping make your staff more efficient, motivated and engaged.

Business software is in the beginning stages of being useful for performance measurement. Businesses have not pushed for innovation as hard as consumers have, but now that’s starting to change. Think about business processes in a different way and gather data in a way that matters.

Select and focus on the most important metrics.Analytics programs can pull and process data for a large number of metrics. Even when applying Big Data to customer service, many businesses struggle to keep up with the volume of information pouring in. Narrowing down your focus to only the most important key performance indicators (KPIs). Don’t introduce too many metrics, it becomes too difficult and confusing. If you can boil it down to some very simple statistics, like a score that incorporates the elements you want, everyone can focus on consolidated KPIs.

 

Posted in Best Practices for Merchants Tagged with: big data, Business software, consumer, customer, customer service, data, key performance indicators, program, service, social networks, software, web, Web browsing patterns

Web presence for maximum customer engagement

In business, Your website is often the first place consumers will go to find you. Your site is your chance to make a good first impression on potential leads and bring back existing customers, it’s important to make sure your website keeps its visitors interested and engaged.

Most brands are aware of the need to create an engaging Web presence, but smaller ones typically don’t think they have the time or resources to create a website at all. A trend among smaller business is to create just a Facebook page with no website. This is a great place to start, but to gain “customer trust”, having a website is important. It shows you’re an established company. A company’s website can be its “number 1” driver of business with the right tools and strategies. Building a great website doesn’t have to be expensive or time-consuming.

Optimize your Web presence for maximum customer engagement

Make your website experience match your customer-service experience.Consumers have come to expect the same type of experience with a brand online as they would in-store, enabling features on your website that allow visitors to complete as many interactions as possible for a seamless customer-service experience. These features can include detailed descriptions of each of your products and services, easy-to-access contact and purchase information, and a way for customers to reach you quickly, such as a live-chat function or links to your social media pages.

Personalize your website in ways that make sense for your business.Enhance customers’ experience on your website by customizing it to their needs. Use personalization tactics that make sense for you. Big Data analytics and voluntary surveys can help you send customized offers based on consumers’ past shopping habits and preferred contact methods which can help with sales conversions.

Use social media as a communication tool.The role of social media for businesses has evolved considerably. A way to share and promote content on your website, social media can and should be used as an extension of your customer service. Your website should be the focal point for your brand’s information. If you can get beyond that, social media should be a way to reach out to clients in a cost-effective way. By using Facebook, Twitter and other sites as a line of communication between your brand and your customers, you can drive them to your website in unique ways, such as by sharing a blog post that will help answer a customer’s question.

 

Posted in Small Business Improvement Tagged with: big data, Big Data analytics, blog, communication tool, consumers, customer service, customers, Data analytics, Facebook, leads, live-chat, products and services, resources, sales conversions, social media, tool, tools, twitter, website

Facts about Chargebacks

Facts about Chargeback

Merchants know chargebacks are bad, but many aren’t aware of simple facts that can help them better understand and guard against fraud accordingly.

Do you know which month is the worst for fraud charge backs?

which transaction amounts are the most likely to be disputed?

or which U.S. states are the biggest offenders?

If not, a Big Data fraud science firm – will help you prepare for a smoother 2014.

Facts you’ll learn: 

The most common fraudulent chargeback amount.

The day of the week when chargebacks are most likely to occur.

The time of year charge backs are most likely to occur.

49% of all fraudulent chargebacks happen after 60 days or more from date of purchase.

$1,000 is the most common attempted unauthorized sales amount (followed by $2,500, $2,000, $1,500 and $5,000).

11% of all fraudulent transactions fall under the Merchant category “Code of 7299”.

Services. The word most often found in registered fictitious names for fraudulent merchant accounts is “Services”.

Wednesday Is the day of the week when the most chargebacks (19%) occur.

One-Third of all fraud chargebacks happen in the fall (September to November).

California Republic is the top state registered by fraudulent businesses, accounting for 14% of chargebacks the U.S. total.

Florida, Texas and New York round out the top four states with 12%, 9% and 7% respectively.

Posted in Best Practices for Merchants, Credit card Processing, Credit Card Security, Electronic Payments, Merchant Services Account, Payment Card Industry PCI Security Tagged with: big data, charge backs, chargeback, disputed, fraudulent businesses, fraudulent transactions, guard against fraud, merchant accounts, unauthorized sales

Age of Context and Security

News from Target, increasing the number of cards compromised to 70 million and the expansion of data loss to mailing and email addresses, phone numbers and names, affirms that we are in a security crisis.

Card data is from a brand and business perspective, the new radioactive material. Add personally identifiable information (PII) to the list of toxic isotopes.

The depressing vulnerabilities these breaches reveal are a result of skilled hackers, the Internet’s lack of inherent security, inadequate protections through misapplied tools or their outright absence. Security is very very hard when it comes to playing defense.

There is a set of new technologies that could, in a combination produce a defense in depth that we have not enjoyed for some time.

Looking at the Age of Context (ACTs)

Age of Context released, a book based on the hundreds of interviews conducted with tech start-up and established company leaders. A wide-ranging survey. They examine what happens when our location and to whom we are connected are combined with the histories of where and when we shop. Result is a very clear picture of our needs, wants and even what we may do next.

Combining the smartphone and the cloud, five Age of Context technologies ACTs, will change how we live, interact, market, sell and navigate through our daily and transactional lives. The five technologies are:

1. Big Data. Ocean of data generated from mobile streams and our online activity, can be examined to develop rich behavioral data sets. This data enables merchants to mold individually targeted marketing messages or to let financial institutions improve risk management at an individual level.

2. Geolocation. Nearly every cell phone is equipped with GPS. Mobile network operators and an array of service providers can now take that data to predict travel patterns, improve advertising efficiency and more.

3. Mobile Devices and Communications. These are aggregation points for cloud-based services, sending to the cloud torrents of very specific data.

4. Sensors. Smartphones, wearables (think Fitbits, smart watches and Google Glass) and other devices are armed with accelerometers, cameras, fingerprint readers and other sensors. Sensors enable highly granular contextual placement. A merchant could know not only which building we are at and the checkout line we are standing in but even which stack of jeans we are perusing.

 

5. Social. Social networks map the relationships between people and the groups they belong to, becoming powerful predictors of behavior, affiliations, likes, dislikes and even health. Their role in risk assessment is already growing.

The many combinations and intersections of these technologies are raising expectations and concerns over what is to come. Everyone has a stake in the outcome: consumers, retailers, major CPG brands, watchdog organizations, regulators, politicians and the likes of Google, Apple, Microsoft, Amazon, eBay / PayPal and the entire payments industry.

We are at the beginning of the process. We should have misgivings about this and as an industry, individuals and as a society, we need to do better with respect to privacy and certainly with respect to relevance.

Provided we can manage privacy permissions we grant and the occasionally creepy sense that someone knows way too much about us, the intersections of these tools should provide more relevant information and services to us than what we have today. Anyone who has sighed at the sight of yet another web ad for a product long since purchased or completely inappropriate to you understands that personalized commerce has a long way to go. That’s part of what the Age of Context technologies promise to provide.

ACTs in Security    

ACTs role in commerce is one albeit essential application. They have the potential to power security services as well, specially authentication and identity-based approaches. We can combine data from two or more of these technologies to generate more accurate and timely risk assessments.

It doesn’t take the use of all five to make improvements. One firm have demonstrated that the correlation of just two data points is useful, it demonstrated that if you can show that a POS transaction took place in the same state as the cardholder’s location then you can improve risk assessment substantially. (based off of triangulated cell phone tower data).

Powerful questions of each technology that ACTs let us ask:

Data – What have I done in the past? Is there a pattern? How does that fit with what I’m doing now?

Geolocation – What building am I in? Is it where the transaction should be? Which direction am I going in or am I running away?

Mobile – Where does device typically operate? How’s the device configured? Is the current profile consistent with the past?

Sensors – Where am I standing? What am I looking at? Is this my typical walking gait? What is my heart rate and temperature?

 

Social – Am I a real person? Who am I connected to? What is their reputation?

Knowing just a fraction of the answers to these questions places the customer’s transaction origination, the profiles of the devices used to initiate that transaction and the merchant location into a precise context. The result should improve payment security.

More payments security firms are making use of data signals from non-payment sources, going beyond the traditional approach of assessing risk based primarily on payment data. One firm have added social data to improve fraud detection for ecommerce payment risk scoring. Another firm, calling its approach Social Biometrics, evaluates the authenticity of social profiles across multiple social networks including Facebook, Google+, LinkedIn, Twitter and email with the goal of identifying bogus profiles. These tools are of course attractive to ecommerce merchants and others employing social sign on to simplify site registration. That ability to ferret out bogus accounts supports payment fraud detection as well.

This triangulation of information is what creates notion of context. Apply it to security. If you can add the cardholder’s current location based on mobile GPS to the access device’s digital fingerprint to the payment card, to the time of the day when she typically shops, then the risk becomes negligible. Such precise contextual information could pave the way for the retirement of the distinction between card present and card-not-present transactions to generate a card-holder-present status to guide risk decision-making.

Sales First, Then Security        

The use of ACT generated and derived signals will be based on the anticipated return for the investment. Merchants and financial institutions are more willing to pay to increase sales than pay for potential cost savings from security services. As a result, the ACTs will impact commerce decision making first-who to display an ad to, who to provide an incentive to.

New Combinations  

Behind the scene, the impact of the ACTs on security will be fascinating and important to watch. From a privacy perspective, the use of the ACTs in security should prove less controversial because their application in security serves the individual, merchant and the community.

Determining the optimal mix of these tools will take time. How different are the risks for QR-code initiated transactions vs. a contactless NFC transaction? What’s the right set of tools to apply in that case? What sensor-generated data will prove useful? Is geolocation sufficient? Will we find social relationships to be strong predictor of payment risk or are these more relevant for lending? And what level of data sharing will the user allow-a question that grows in importance as data generation and consumption is shared more broadly and across organizational boundaries. It will be important for providers of security tools to identify the minimum data for the maximum result.

I expect the ACT’s to generate both a proliferation of tools to choose from and a period of intense competition. The ability to smoothly integrate these disparate tools sets will be a competitive differentiator because the difficulty of deployment for many merchants is as important as cost. Similar APIs would be a start.

Getting More from What We Already Have  

The relying parties in a transaction – consumers, merchants, banks, suppliers – have acquired their own tools to manage those relationships. Multi-factor authentication is one tool kit. Banks, of course issue payment credentials that represent an account and proxy for the card holder herself at the point of sale or online. Financial institutions at account opening perform know your customer work to assure identity and lower risk.

Those siloed efforts are now entering an era where the federated exchange of this user and transactional data is becoming practical. Firms are building tools and the economic models to leverage these novel combinations of established attributes and ACT generated data.

The ACTs are already impacting the evolution of the payments security market. Payment security incumbents, choose just two from the social side, find themselves in an innovation rich period. Done well, society’s security posture could strengthen.

Posted in Best Practices for Merchants, Credit card Processing, Credit Card Security, e-commerce & m-commerce, Electronic Payments, Internet Payment Gateway, Payment Card Industry PCI Security, Point of Sale, Smartphone, Visa MasterCard American Express Tagged with: big data, breaches, card data, cardholders, checkout lines, commerce, data loss, data sets, digital, ecommerce, geolocation, GPS, inherent security, Merchant's, Mobile Devices, mobile network, online activity, personally identifiable information, pii, POS, Security, security crisis, sensors, smartphone, social networks, transaction, transactional, travel patterns, vulnerabilities

Impact on 2013 Holiday Sales’s Big Data

Impact on 2013 Holiday Sales’s Big Data

 Holiday season has ended and the analysis has begun to understand what worked and what did not for ecommerce merchants. Cyber Monday became the biggest online shopping day in history with a 20.6 percent increase in sales over 2012, according to the IBM 2013 Holiday Benchmark Report. Retailers are increasingly tapping into the avalanche of data from their own sites and from third-party sites to drive sales and better serve their customers. This article will address five key ways Big Data impacted the 2013 holiday shopping season.

 Contextual Promotions

The use of Big Data has enabled contextual promotions – mostly real-time push notifications based on consumers’ social media activity, tracking their locations, or capturing their interactions on the web and mobile devices. This holiday season contextual promotions were heavily used. IBM’s Cyber Monday Report states, “On average, retailers sent 77 percent more push notifications during the five day holiday shopping period when compared to daily averages over the past two months.” Retailers invested in social media sites like Facebook, Pinterest, and Instagram (among others) during the November and December holiday season. This led to higher referral sales from these sources.

Several physical retailers, including Best Buy and Kohl’s, also deployed location-based promotions to push notifications while the consumer is in or near the store. Some retailers tracked consumers’ locations without their knowledge, raising privacy concerns. Other retailers required an opt in by consumers to receive these promotions.

Additionally, some retailers used mobile apps to send contextual promotions based on tracking shoppers’ activities on the app and their physical locations with using it. Macy’s and J.C. Penney, for example, partnered with Shopkick (a shopping app provider) during this holiday season to reward brick-and-mortar shoppers with discounts or song downloads for trying on clothes, scanning barcodes, or making purchases.

Gift Selection

Holidays are all about gift giving. Some retailers used their Big Data recommendation algorithms to make it simpler to select gifts. These retailers built predictive models that process data from multiple sources like social media, wish lists, gift registries, and past purchases to predict the right gift for an individual.

Improved Customer Service

The holiday season results in more traffic for ecommerce merchants, which naturally leads to an increase in the volume of customer service issues. To keep customers happy during this time and manage customer service costs, some retailers implemented Big Data solutions to monitor customer activity and proactively respond to negative social media posts or issues. After all, one negative tweet can significantly impact business during this time of the year.

Real-time data feeds inform retailers in advance if customers will experience issues like a slow site, out of stock products, or delayed delivery. Retailers can either proactively correct the issue or notify the customers afterwards. Fab.com, for example, automatically credits a customer the difference if a price of an item drops immediately after purchase. T-Mobile USA has integrated Big Data across multiple IT systems to combine customer transaction and interactions data to better predict customer defections. By monitoring social media interactions with transaction data and billing systems, T-Mobile USA has reportedly reduced customer defections in half in a single quarter. Dell uses Big Data solutions to analyze real-time feeds from weather reports, delivery trucks, and orders to proactively resolve delivery problems before customers are aware of them.

Integrated Analytics

Most large retailers serve customers across multiple channels and devices. This makes it critical for those retailers to have a single view of all customer and product activity using data from all sources. Some retailers are already using such solutions and several more deployed such solutions before the holiday season. This one capability is crucial to track other Big Data uses, such as contextual promotions, gift selection, personalized customer experience, and improved customer service.

 

Personalized Customer Experience

Retailers have used Big Data to personalize their site content for several years. This was a competitive differentiator during this holiday season, however, as indicated by pre-holiday survey by Baynote, a personalized customer experience solution provider. The survey noted that eighty-one percent of retailers planned to upgrade ecommerce platforms to focus on customer experience, and to increase engagement, revenue, and ultimately lifetime value from improved relationships with shoppers. Retailers can categorize each shopper into a segment of one with its own customized landing pages, product catalog, campaigns, and even content. The result is an enhanced customer experience and an improved conversion rate.

Amazon.com continued to maintain its dominance in this space by using its extremely rich data set to personalize the shopping experience for its millions of shoppers. Another benefit from personalizing the customer experience is increased impulse buys, which become more important during the holidays as shoppers are in the right frame of mind to spend money.

Posted in e-commerce & m-commerce, Electronic Payments, Internet Payment Gateway, Merchant Account Services News Articles, Small Business Improvement Tagged with: analysis, analyze real-time feeds, barcode, benchmark, big data, brick and mortar, credits a customer the difference, customer service issues, customer transaction and interactions data, ecommerce merchants, large retailers, location based promotions, making purchases, online shopping, physical retailers, real-time data feeds, retailers, rich data set, shopping season, social media activity, transaction data and billing systems

2014 Ecommerce Challenges

Ecommerce and mobile-based e-commerce have grown significantly this year. Cyber Monday ecommerce sales, as an example, reached $1.735 billion originating from desktop and laptop devices, according to comScore. Even Black Friday, which is better known for brick-and-mortar retail sales, saw online spending reach $1.198 billion in the United States, again according to comScore. Mobile online spending may also have grown, as some reports indicate that mobile-based site traffic was up 55 percent around Thanksgiving.

Many ecommerce merchants are enjoying a robust holiday selling season even as some brick-and-mortar stores are seeing relatively flat Christmas sales. To ensure continued growth and success, Internet retailers may want to challenge their businesses to improve in several areas in 2014.

Retailers, however, should not rest on their current success, but rather should challenge their businesses to improve in several areas, including free shipping offers, mobile optimization, personalization, data driven decision making, and cross channel sales.

Offer Free, Two-Day Shipping

The first challenge for online sellers in 2014 may be to find ways to offer free, two-day shipping to all or most shoppers. While it is likely there will still be minimum purchase and maximum weight requirements and restrictions, online shoppers are going to expect faster free shipping options thanks, in part, to the growth in services like Amazon Prime and ShopRunner.

Consider order fulfillment services, distributed warehouses, drop shipping, or even partnerships with other retailers to help meet this challenge.

Offer Personalization and Customization

Personalization and customization could be a significant competitive advantage in 2014.

Challenge your business to finally begin offering personalization and customization both onsite and in marketing. The easiest place to start may be with email marketing. Work to segment email marketing campaigns so that they address customers by name and with relevant products and offers that are based on an individual’s or group of shoppers’ stated preferences or on-site behavior.

Taking on this challenge means that the retailer’s marketing department will need to collect meaningful information about what interests shoppers and organize separate, custom campaigns around those interests.

Put Mobile Design and Marketing First

In November, IBM reported that mobile devices accounted for 31 percent of U.S. ecommerce-related web traffic around the Thanksgiving holiday this year, and that 17 percent of ecommerce transactions came from smartphones or tablets. On average, tablet users spent more than $126.00 per order, and smartphone users spent about $106 per order.

This data shows that mobile e commerce is not simply a novelty, but rather a must have for 2014.

If an e-commerce business is not optimized for mobile sales, 2014 is the year to take on that challenge, including offering a responsive design and mobile friendly payment options.

Sell Seamlessly Across Channels, Devices

Try to think of every way that a shopper might interact with an online store, and then make all of those touch points work together in 2014.

Retailers online or in physical stores need to offer shoppers a seamless, cross channel shopping experience that makes buying things easier for the customer. To continue to enjoy success in 2014, consider offering shoppers the ability to share orders across devices, applications, and even marketplaces.

In practice, this might mean that items added to a cart in an online store show up in the cart for the retailer’s iPhone app too. Or that a customer’s order history displayed on a retailer’s site shows orders placed on-site and via a marketplace like Amazon or eBay.

Use Big Data for Big Information

In 2014, find sources of good, usable Big Data, and put the resulting big information to use.

As an example consider, Weather Trends International, a Big Data company that uses historical weather information and advanced data processing to accurately predict weather 11 months in advance. This sort of Big Data information could show a snowboard and ski retailer what sort of winter major ski resorts are likely to have next year, and could inform purchasing and inventory choices.

Similarly, knowing that a particular region is going to have a warmer than normal July and August might impact how, where, and when a clothing retailer promotes shorts or bikinis on Facebook or AdWords.

Big Data is a popular trend in business and in marketing. The concept can mean different things to different businesses. For ecommerce, retailers should seek to use Big Data to gather big information, if you will, that may be used to make better buying and selling decisions.

Posted in Credit card Processing, e-commerce & m-commerce, Electronic Payments, Internet Payment Gateway, Mobile Payments, Mobile Point of Sale, Smartphone, Visa MasterCard American Express Tagged with: adwords, Amazon, big data, big information, brick and mortar, cross channel, cyber, drop shipping, e-commerce, ecommerce, Facebook, internet retailers, laptop devices, Mobile Devices, mobile friendly payment options, mobile optimization, mobile-based site, on-site, online, online shoppers, online store, onsite, personalization, retailers marketing, retailers online, shopping experience, smartphone, Smartphones, tablet, tablets

Big Data Requires Focus | Key E-commerce Metrics

Online consumers generate an avalanche of data.Companies such as Amazon and Target have used Big Data for years. It’s the secret behind their highly personalized product recommendations and email promotions.

The good news is that smaller companies can use the power of Big Data in their businesses, too. But just because you can gather tons of data, doesn’t mean you should. For most small-to-midsize businesses, trying to harness Big Data can sometimes do more harm than good. It can slow down your website and cost time and money.

To make effective data-driven decisions in your business, control the types of information you collect. Focus only on the metrics that truly affect conversion rates and ignore the ones that don’t have much of an impact.

Tracking raw ad impressions regardless of whether they yield clicks or conversions is an example of monitoring low-impact data. The same thing goes for blindly monitoring Facebook Likes or Klout scores. Stop wasting resources on metrics like these. Devote your efforts on the data points that count.

Here are the most important ones for e-commerce merchants.

Number of Site Visitors and Where They’re Coming From

Online marketing is rarely cheap and quick. You have to determine the best strategies to spend resources on. There are several free and easy-to-use tools that can provide this information.

Google Analytics is an excellent tool that gives you insights on your traffic and traffic sources. To go deeper, such as which specific newsletter or which Facebook update sent visitors to your site, you can create Custom Campaigns and add special URL tags for each campaign. This lets you drill down on the specific source for your referral traffic.

Also, set up your online campaigns to make it easy to monitor. For example, having a different landing page for each guest post will allow you to quickly see which ones are sending traffic. Or, for social media, you can publish updates using a simple tool like Buffer so you monitor clicks each from each post.

Sales and Beyond

Tracking your sales is key. Aside from looking at your basic sales numbers, compute your average order value and compare it with your marketing and advertising budget. Viewing how much you’re spending on each customer versus how much they’re spending on you will help create the right budget for customer acquisition and retention.

Beyond gross sales, monitor item returns to obtain the net sales volume. Determine also the reasons behind refunds and exchanges to improve your merchandise.

Also, track sales from promotional offers, to know what promos or discounts to provide in the future. If, for example, you used a loss leader to attract customers into your store, closely monitor overall sales based on that offer to see if it generated profits.

Knowing this sales data will enable you to send out tailored promotions to users. And if you can combine those insights with other data such as the time they usually buy from you or what device they use you’ll be able to optimize your campaigns for maximum conversions.

What Visitors Are Doing on your Site

Tracking the pages that users viewed, the actions they took, and their exit points can give you tremendous insights about your site and your visitors. Analyzing these things will tell you which aspects of your site need improvement.

For example, say you discovered that while shoppers are clicking the “add to cart” button, most leave before they provide their credit card details. This could mean that there’s something wrong with your checkout page. Perhaps it’s confusing or you need a stronger guarantee. Regardless, you won’t be able to identify the problem if you don’t track what’s going on.

How you track user behavior will depend on what you want to measure. If you want to track your exit traffic, for example, to add outbound link-tracker code to your website. For WordPress sites, this can easily be done using the Ultimate Google Analytics plugin.

On the other hand, if you want to track how users react to specific site elements such as buttons, text size, forms, and other key elements use heat maps that give you a visual representation of user behavior. Crazy Egg offers a solution for this. It enables you to see how people are behaving on each page.

Posted in e-commerce & m-commerce, Electronic Payments, Internet Payment Gateway Tagged with: acquisition, Amazon, analytics, big data, campaigns, conversion, credit-card, data, data-driven, e-commerce, email, exchanges, Facebook, google, insights, online, personalized, refunds, resources, sales, target, wordpress

NTC Big Data We Know WHO, WHAT, WHEN and WHERE a purchase took place.

NTC’s BIG DATA

Improving Collection and Analytics tools to Create Value from Relevant Data.

Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. And big data may be as important to business…and society… as the Internet has become. Why? More data may lead to more accurate analyses. More accurate analyses may lead to more confident decision making, and better decisions can mean greater operational efficiencies, cost reductions and reduced risk.

With NTC Virtual Merchant product, it captures email addresses at the Point-of-Sale (POS) into a database to assist merchants and consumer stay connected, and for future Marketing.

In understanding Big Data For Merchants, NTC’s President Mark Fravel, provided a general overview of how online merchants can use Big Data. Large amounts of seemingly random data from many sources…can be used to create competitive advantages.

Necessity of Analytical Tools

Collecting Big Data is the easy part. Storing, organizing, and analyzing it is much more complex. One seam of data that several experts identify as a particularly rich, emerging source of information can be as diverse as CRM software, AdWords, and your own website. Mobile communications, including text messages and social media posts such as Facebook and Twitter. Making sense of it can be overwhelming without analytical tools. These tools facilitate the examination of large amounts of different types of data to reveal hidden patterns and correlations that are not otherwise easily discernible.

A good example is NTC, they could analyze data on visitor browsing patterns, login counts, phone calls, and responses to promotions…they can monitor to eliminate what isn’t working and focus on what does. Some of the off-the-shelf analytic solutions are so finely tuned, they can tell a vendor whether it needs to offer a 25 percent discount or if a 15 percent discount will suffice for a particular customer.

Association rule learning is another analytics method that is a good fit with Big Data. This could be, for example, a shopping cart analysis, in which a merchant can determine which products are frequently bought together and use this information for marketing purposes.

Uses of Big Data Analytics:

Big Data can be most useful in analyzing a customer’s shopping and purchasing experience, which can help a merchant in the following four ways.

Become more efficient by alerting you to merchandising efforts that are ineffective, and products that are not selling.

Encourage more purchases by presenting existing customers with complementary items to what they’ve purchased previously.

Enhance inventory management by eliminating slow-moving items and increasing the supply of fast-moving merchandise.

Example: A top marketing executive at a sizable U.S. retailer recently found herself perplexed by the sales reports she was getting. A major competitor was steadily gaining market share across a range of profitable segments. Despite a counterpunch that combined online promotions with merchandising improvements, her company kept losing ground….The competitor had made massive investments in its ability to collect, integrate, and analyze data from each store and every sales unit and had used this ability to run myriad real-world experiments. At the same time, it had linked this information to suppliers’ databases, making it possible to adjust prices in real time, to reorder hot-selling items automatically, and to shift items from store to store easily. By constantly testing, bundling, synthesizing, and making information instantly available across the organization…the rival company had become a different, far nimbler type of business.

Increase conversion rates by better identification of successful sales transactions.

Is Big Data Analysis Affordable?

NTC Data Storage is also a good alternative for small ecommerce merchants because it is relatively inexpensive and is scalable it can expand as data requirements grow.

Relying on data-driven decision-making is crucial in industries in which profit margins are slim. Amazon, which earns increasingly thin profit margins, is one of the most effective users of data analytics. As more Big Data solutions for small online businesses come to market and more online merchants incorporate Big Data into their business tool set, employing Big Data will become a necessity for all Merchants.

Using data wisely has the potential to boost margins and increase conversions for online merchants, and investors are banking on it.

This is Big Data for NTC we know WHO, WHAT,WHEN, AND WHERE a purchase took place. 

Posted in Best Practices for Merchants, Credit card Processing, e-commerce & m-commerce, Electronic Payments, Internet Payment Gateway, Mobile Payments, Mobile Point of Sale, Point of Sale, Visa MasterCard American Express Tagged with: analyses, analytic, big data, communications, competitive, consumer, cost, database, decision, ecommerce, email, internet, marketing, Merchant's, mobile, monitor, ntc, online, orgainizing, patterns, point of sale, POS, profit margins, promotions, risk, scalable, solutions, storing, text messages, virtual merchant, website