These 4 Billion-Dollar Companies Are Leaving the Competition In the Dust…

The customer is always right, right? Well, it all depends on what kind of experience customers have with your brand. Their experience will not only dictate how often they’ll complain, but how successful your company will be. Think of some of the biggest new brands – ones like Google, Facebook, Netflix, Amazon. All started within 15-20 years, but all have seen incredible success. Want to know why? Because they spent a lot of time and money making the customer experience the best it can be.

Exclusive Bonus: Download the free cheat sheet of tactics big brands use to create a personal experience, and software to do it on a budget.

Recently, taking the customer experience to the next level is possible through personalizing the content. It’s been an important cornerstone of successful marketing for some time now.

Think back to how this got done before the web. Companies were talking to customers, giving them surveys to try and find out as much as they could about them.

These days companies have a wealth of knowledge at their fingertips, and are embracing data to make it work for them. This article will explore how four companies (Amazon, Netflix, Google, and Best Buy) adapted over the past five years to see amazing growth, largely because of personalization.

 

Google

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

This company needs no introduction, and I bet you can already start to connect the dots on how they’ve managed to leverage personalization to great success. First, we need to take a step back and understand how Google makes its money. 89% of it comes from ad revenues, so for all intents and purposes, we’re only going to focus on that. So the question is, how do they leverage personalization to see the 66-billion-dollar revenue they pulled in last year.

 

Personalized Search

Google works best as a profile-based service, which means that to get the most out of it, you’ll need to sign into an account. From Gmail to YouTube, Google accounts work with a lot of services that people use regularly. Sure, you can still use it without signing in, but that is where the real personalization begins. This first point is pretty obvious. Depending on what you search for, and what your browsing history is, Google will serve you different sites.

Despite this fact, most people still don’t mind using it. By knowing what you’re searching for, they can offer products they think you’ll want to see. Yes, they are skewing the data. If you want a completely unbiased web search, consider using something like duckduckgo.com. Google is banking on a complex algorithm that takes sites you’ve visited and continues to show similar ones. If they know the type of sites you enjoy, why not show you more of the same?

 

Personalized Ads

This takes the first point to the next level and is made obviously clear after searching for a specific topic that you wouldn’t usually search. As an interesting experiment to illustrate this, I changed up my searches for a week. I love cars and do a lot of car-related searches. Understandably, most of my ads (when ad blocker was turned off) were for car-related products. I tried searching for something completely unrelated to cars: bird watching. Google noticed and then started showing me tranquil ads for bird watching equipment. Anyone can run this experiment, and it’s interesting to see how your search affects everything around you.

Though this may come off as creepy to some, it makes sense. If I am genuinely interested in all this bird watching stuff, maybe a company is offering a sale on those killer binoculars that I was looking for; so, I’ll click an ad, Google will get paid, and I’ll have some nice binoculars. Thanks, Google!

 

Personalized Videos

This last example is the natural progression from search and ad personalization. Since Google owns YouTube, it’s already happening. Depending on what you usually watch, it will curate your content to show you related videos.

Exclusive Bonus: Download the free cheat sheet of tactics big brands use to create a personal experience, and software to do it on a budget.

Though most, or all, of us, hate video ads, they know it’s a numbers game. Sure, you may close an ad every time, but 1 in 100 people might click it, and 1 in 1,000 might go on to buy the product. With these ads being served to millions of people every day, there is a lot of money to be made.

Google has mastered personalization to try and give you what you’re looking for before you even look, and the numbers speak for themselves. If this approach weren’t working, they wouldn’t be doing it.

Next, let’s look at everyone’s favorite streaming site: Netflix.

 

Netflix

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

“Netflix and chill,” may be a popular saying, but they are not chill about their dedication to providing you with shows you want to watch. Unlike Google, Netflix doesn’t make their money through ads, but through subscriptions, so their main focus is retention and keeping existing customers happy. They do this by filtering through their sea of available content to give you only what you want to watch.

Let’s look at how they’ve managed to leverage personalization to create a unique experience for all of their 81.5 million subscribers.

 

Recommendations

The “Recommended Shows” sections of Netflix aren’t new. In fact, they were working on improving their recommendation algorithm when they were still mailing out DVDs. Way back in 2006, they announced a $1 million prize to any team who could help improve their recommendation algorithm by just 10%. It’s clear they’re serious about constantly improving recommendations, and things have only gotten better for them since they made the jump to streaming in 2007.

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

Compared to a DVD watch list, instantly streaming content gave them a lot more data about people’s viewing habits. While they only had a list to work with in the past, now they can see what shows you watch, how much of each show you watch, what time you watch, and a lot more. This knowledge about your viewing habits helps them keep you engaged by ensuring you always have something new to watch.

 

Multiple Devices

Once Netflix made the jump to streaming, it opened up a whole new platform to reach new potential users. The thing is, not everyone’s the same, and different people prefer to watch movies or TV on different media. Netflix quickly understood this dilemma and saw the potential to have their service on different platforms. Rather than just being available through their site on a PC, they opened it up to Roku, Xbox, Apple TV and many others.

Netflix has one thing down: they are available to personalize content wherever and however their customers want it. From laptops, to phones, and even gaming consoles, Netflix is available wherever you want to use it.

 

Breaking The 4th Wall

The last piece of personalization that helps Netflix deliver a seamless customer experience is by now bringing recommendations right to your inbox. They knew people spent a lot of time just browsing for something to new watch, so now they help out by emailing suggestions directly to you. By using all of the data from your account, if a new show or movie that they think you’ll like comes out, they’ll let you know. You can even add it to your list from your phone!

Delivering useful content and recommendations is the type of omni channel personalization that has separated Netflix from the competition. They’re able to deliver a seamless experience from start to finish.

 

Amazon

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

You may have heard of this company. They used to sell books online, but are now the largest marketplace in the world, and are a perfect e-commerce example for how personalization helped them dominate the marketplace. As an e-commerce site, they make their money by selling products, and make even more money by recommending other items.

The motivation for recommendation is getting you to purchase more items. As the web grew, and more data points became available about their users, they were able to track more and more information, and make appropriate recommendations.

 

Frequently Bought Together

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

If you’ve ever used Amazon, you’ve seen this section, and it’s an ingenious piece of personalization. These recommendations are not serendipitous or a fluke. They are cold and calculated. Fortune describes it pretty well:

The company reported a 29% sales increase to $12.83 billion during its second fiscal quarter, up from $9.9 billion during the same time last year. A lot of that growth arguably has to do with the way Amazon has integrated recommendations into nearly every part of the purchasing process from product discovery to checkout.

Not only does this work, but they have multiple areas, each offering different suggestions: frequently bought together, customers who bought this item also bought, sponsored products relating to this item, and what other items do customers buy after viewing this item.

Those are four other suggestions to upsell and get you to buy more products. It’s no wonder why Amazon is the leader in the marketplace. This alone shows their understanding and value of customer data.

 

Follow Up Emails

If you’re running an e-commerce business, then you know that it’s a fact that a certain percentage of people will abandon their carts before purchasing. It doesn’t mean that they hate your brand or don’t want the product; life is complicated, and lots of things are vying for our attention.

With nearly 44% of cart abandonment emails being opened, a good percentage of those result in sales. This kind of personalization and customer experience isn’t hard to achieve, and any e-commerce business should be doing it. All it takes is a simple email with the items they left in the cart to try and rekindle the relationship and emotion felt in the first place.

 

Amazon Dash

This last product of Amazon’s takes personalization from the digital into the real world. If you’ve been following along, then you understand that people like to interact with brands on their terms, and that repeat business is key for a successful brand.

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

Amazon took their one-click checkout feature and made it into a real button. They realized that certain people would buy the same staples like Tide, Gatorade, or razors, so they made it even easier for you to buy them with one touch. Going from multiple steps to one press of a button is the next step in personalization and takes the customer experience to the next level. I’m excited to see what else they have up their sleeves.

Exclusive Bonus: Download the free cheat sheet of tactics big brands use to create a personal experience, and software to do it on a budget.

What Do Google, Netflix, Amazon, And Best Buy Have In Common NectarOM Omnichannel Personalization

Not mentioned in the title, but equally as interesting is Best Buy, and they’re the last example of how a brick-and-mortar company can also adapt to the online data revolution and go toe-to-toe with the best of them. Worldwide, they have a 22% hold in the electronics market and are trying to close the gap with Amazon. To do so, they’re implementing similar tactics as Amazon and capitalizing on the shift to personalization.

 

Catching Up With The Rest

If you’ve bought something at Best Buy recently, you’ll notice that they too are sending recommendation emails. If you bought an Xbox and they have your email address, you might get emails suggesting new game titles you might like.

Of course, Best Buy stores benefit from the ability to offer instant gratification, but they also separate themselves from other online retailers by offering store-exclusive content. That means if you preorder a game at Best Buy, you’ll get exclusive access to limited-edition content, not available to anyone else. With prices being pretty consistent for video games, offering the bonus of additional content is an interesting approach to helping close the gap with online retailers.

 

Price Match

Around 70% of Best Buy’s inventory is available cheaper elsewhere online (Amazon, eBay), so how do they still manage to compete? To combat this, they’ve implemented a pretty liberal price-match policy for brick-and-mortar as well as online retailers. This policy is a pretty bold statement and makes a strong case for those who prefer to buy all of their electronics at once to do it all at Best Buy. If online retailers can’t compete with price, then they’ll have to get creative to compete with Best Buy moving forward.

Personal Contact

Though brick-and-mortar can seem like an excessive overhead in our digital society, Best Buy uses it to leverage their “blue shirt” experts and staff, who give a real personal touch. This is something an online store just can’t do on the same level. Sure, they could have a pop-up live chat window, but it just can’t replace actual face-to-face, human contact. Their staff is well versed in what they’re selling (sometimes that’s because they are actually employees of the brands they are recommending, instead of being Best Buy employees), and can usually understand your concerns and make real-time recommendations.

Though large businesses are generally not known for their speed in implementing change, all of these companies have done a great job of using data to their advantage to keep things personal for their customers and deliver an amazing overall experience. And as far as it looks, the customers have returned the favor by staying loyal to them and purchasing time after time.

 

 

 

Almost every company uses automation to send emails in today’s day and age. Every morning, I wake up to dozens of emails from retailers comprised of newsletters and special offers.

For the most part, I love sifting through these emails. However, as a marketing automation enthusiast, there are some aspects of email automation that can drive me crazy if done incorrectly. Below, I have determined four of my biggest automation pet peeves.

Boring subject linesSubject Line Email Automation

They say you can’t judge a book by its cover… However, this doesn’t always resonate with email recipients. Even marketers with the best email content can be at a disadvantage when not using catchy subject lines in their messages.

Amidst dozens of emails, a recipient’s eyes can easily glaze over a boring subject line. Subject lines should promote new products, relevant offers, special discounts, or use the recipient’s name to stand out among other emails.

In the example to the right, notice Nordstrom had sent me a “relevant” email about sandals after I had shopped for sandals on their website the day before. NM Last Call advertised a noteworthy sale to draw me in. J. Crew emphasized a “new” offer and special discount of free shipping to attract me. Note that Amazon Local did not utilize any of these tactics to grab my attention, and their message remained unopened and ignored.

Sent at the wrong time

Just because a software sends out automated emails, companies must still be conscientious of when they are distributing marketing messages.

Nordstrom Friday Evening EmailMost companies send out emails first thing in the morning – and for good reason.

While there is no set rule that marketers must stick to mornings when sending out emails, there are certain times marketers should avoid sending messages. For example, consider this email I received from Nordstrom. Nordstrom sent me this email at 6:30 Friday afternoon. This is one of the worst times to send me a marketing email, as I have likely finished work for the weekend and am probably enjoying a happy hour or dinner with friends. The only reason I opened this email was because I was looking at messages sent during poor times  for this blog post.

Friday evening is not the only bad time to send emails. Weeknights during “dinner time” will likely hold a low open rate. However, emails sent between 11 a.m. and 2 p.m. on weekdays will yield higher open rates, according to experts.

 

Incorrect personalization

Nothing aggravates me more than wasting my time opening an email with irrelevant offers. This holds true in the past couple months I’ve been a member of Banana Republic’s reward program.

Banana Republic's Men's Email
One of Banana’s many “male-centered” emails I always receive.

Every time I receive an email from Banana Republic, I receive emails about men’s clothing. I find this strange because every time I have shopped at Banana I have only ever bought clothes from the women’s section. However, every email I receive always includes information about their latest additions in their men’s line with little or no regard to women’s clothing. For some unknown reason, I think Banana Republic assumes I am a male.

Banana’s automation tendencies were amusing at first, but now I get annoyed whenever I see their irrelevant emails. Now, I rarely open any of their messages unless the subject line references some special discount.

While personalization can be a huge marketing asset, incorrect personalization can cause major problems. About 75% of consumers get frustrated when receiving irrelevant content. Avoid upsetting your target audience by personalizing with correct data.

Changing personal information is a hassle

While incorrect personalization is dangerous, mistakes can happen. In the case that consumers receive irrelevant content, the process to change personal information should be easy and convenient.

Consumers that must navigate through an entire website just to change a small personal detail (like their gender at Banana Republic), may be turned off at the thought of spending extra time on a website. Updating personal information should be simple. If changing profile details is too difficult, don’t be surprised if your email unsubscribe rate is uncomfortably high.

Wrapping it up…

While automation can be a big time saver, make sure your company is doing it effectively! The above mistakes can be harmful to your company’s growth, but making small fixes to your automation strategy is simple. Learn how to keep your automation easy and effective.

When it comes to marketing across mobile, companies range in success. From poorly optimized web pages on mobile, to sites that take too long to load, some companies undoubtably struggle when shifting from brick-and-mortars or website to mobile devices.

However, some companies are leading the forefront of omnichannel efforts through their Smartphone applications. Through convenient apps that personalize shopping experiences, today’s strongest marketers are providing an enjoyable mobile shopping experience for customers.

We have evaluated today’s best Smartphone apps from some of today’s top marketers. Read on to learn who we’ve deemed Good, Better and Best in omnichannel marketing.

GoodTaco Bell Location Personalization

Taco Bell: the right idea with questionable execution

Taco Bell is legendary – not just because of its cheap tacos, but because of its world renowned marketing, PR, and advertising strategies.

The most recent addition to Taco Bell’s marketing campaign is its highly publicized smartphone app. The app combines personalization and omnichannel marketing to make ordering a breeze for its patrons.

The app lets users find a Taco Bell closest to them with GPS. Users can order through the app – customizing any part of their meal, of course – and pick up their food in the store or drive-thru. Along with each menu item, a photo of the food is displayed. This gives users that added, necessary dimension to preview what they order before they actually receiving the item.Taco Bell Personalize Order

One of the strongest benefits of the app is that users can place and pick up a customized order on their own time at a location of their choosing. This makes the process convenient.

However, Taco Bell struggles with the “seamless” element of a truly omnichannel approach. When I used the app to order from my neighborhood Taco Bell, it took more than 10 minutes to receive the food I had ordered. At this rate, standing in line and placing my order “traditionally” would have been a faster option. An ideal Taco Bell app experience would eliminate unnecessary wait times.; otherwise, the Smartphone app loses its convenience and becomes pointless.

Better

Neiman Marcus: strong convergence of digital platforms

Neiman Marcus is not only a leader in luxury fashion, but in omnichannel marketing as well. Their new app Snap. Find. Shop. helps users find shoes and handbags with digital imagery. Users can take a photo of an item and use the app to find styles that are similar and available at Neiman Marcus. Photos can be taken of printed or “real-life” images. The app has been compared to a personal stylist, and shoppers love its convenience and efficiency.

Neiman Marcus is the first luxury retailer to use visual search technology. This new technology has helped the retailer drive traffic to physical store locations. The app is also particularly useful in ecommerce and mobile app purchases. When a shopper uses Snap. Find. Shop. on their mobile device, he or she can make their purchase in just a few more taps to their phone screen. These steps shave a significant amount of time off of the traditionally long shopping process. The efficiency that comes paired with Snap. Find. Shop. is memorable and groundbreaking.

BestWalgreens Refills Easy

Walgreens: the unexpected winner of Smartphone apps

Walgreens is not the first company that comes to mind when thinking “omnichannel.” However, a look at their Smartphone app shows that Walgreens is a pro at utilizing multiple platforms seamlessly.

Several different functions in their app fuel a seamless mobile to brick-and-mortar experience. The app lets users refill prescriptions through their mobile, which is done by a quick scan of the prescription’s barcode. Shoppers can then run down to their nearest Walgreens to pick up their meds. App users can also set refill alerts to remind them to refill prescriptions if need be.Walgreens Item Locator

The Walgreens app also has a store locator, showing the user where they can find the nearest Walgreens. Once the customer is inside the store, he or she can use an item locator feature to find the exact location of a product. In the case that a customer does not want to walk about the store, he or she can opt for the web pickup or home delivery options.

With its variety of personalization elements and incorporation of multiple channels, Walgreens has one of the best apps for an omnichannel shopping experience. As consumers steadily depend more on mobile for making purchases, Walgreens is setting itself up for success.

Want to learn more?

Inspired by these innovative omnichannel pros? Learn how to go omnichannel over social media for even more great marketing ideas.

Even though automation software is a proven essential for strong marketing, some companies are still wary about its practices. Oftentimes, marketers are hesitant to apply automation to sales because they have difficulty trusting technology – especially when automation plays a large role in marketing.

We’ve heard that some marketers are uneasy trusting the accuracy of data collected, messages sent, and customer privacy. Because automation is more “machine” than “man,” implementing it into marketing may require a little more faith.

And we get it.

Letting go of your marketing reigns to let software play a large role in your marketing strategy can be unnerving. However, companies should cast their fears aside because – all things considered – automation is a tool that can be trusted. To help marketers feel more at ease with this technology, we are addressing three common trust issues that marketers have with automation.

Trusting data in automation

For the most part, data gathered and implemented in your automation software is reliable. This data comes in two forms.

Even a silly typo (like .con instead of .com) can result in a data mistake!
Even a silly typo (like .con instead of .com) can result in a data mistake!

Companies can directly ask customers to share personal information with them. For example, retailers often ask for a consumer’s name and email address for sending newsletters or special offers. Since this information comes directly from the customer, companies should feel comfortable trusting and using it to tailor messages. Typically, any mistakes in customer-relayed information come as results of a spelling mistake or typo when sharing information.

Companies can also gather information from clickstream data and analytics. First party data reflects information gathered by one’s own company. To gain more trust in a company’s first party data, companies should grasp a complete understanding of how the process works.

Third party data reflects information gathered by another source. This is typically where companies falter in the trust department. To put your mind at ease, perform thorough research about the quality of third party – rather than blindly accepting data. Determining the strength and reliability of the third party can prevent dirty data from being thrown into the automation’s data pool.

Trusting automation to deliver messages properly

Some marketers may not trust automation to send relevant messages to its consumers. However, by creating a checklist with basic criterion, marketers can ensure that the right messages are sent to the appropriate customers.

This checklist operates on the basis of the simple logic format, because X happens, Y will likely follow. The logic behind a checklist ensures that messages with a personalized element are sent to specific users.

Shoppers that frequent online sales, or adjust settings from low to high...
Shoppers that frequently online sales, or adjust settings from low to high…
May be more likely to utilize special offers, sales and discounts. Be sure to adjust marketing strategies accordingly.
…may be more likely to utilize special offers, sales and discounts. Be sure to adjust marketing strategies accordingly.

For example, a customer who regularly sorts products by “prices: low to high” may be categorized as a bargain shopper. In a preprogrammed checklist, this criteria might look like, Because this customer shops sales, he or she will positively respond to information about discounts. Based off this assumption, the automation software may send the consumer emails with special offers and sales.

Companies should trust that these messages are sent to the right people because they, themselves, are designing which customers receive which messages. Because companies are responsible for developing their checklists, marketers should trust that the checklist reflects accurate assumptions. If the assumptions are not relevant or correct, marketers should look to the checklist developers. The automation’s job here is easy – simply send out the messages that fit basic criteria at a designated time.

Trusting automation to keep information safe

Another common trust issue marketers have concerns the privacy of their customers. With recent hacks in the datasphere, some companies are hesitant to trust the cloud to store customer data.

With that in mind, companies should take the necessary steps to ensure customer data remains safe. Familiarizing oneself with customer data can alert marketers when usual inconsistencies come up. Companies should also perform thorough background checks before they hire – as employees have the most access to customer data. An untrustworthy employee may be the cause of a data breach. Companies can implement security testing, or penetration testing, to evaluate the strength of their data protection measures.

And let’s not forget…

Marketing should not completely rely on technology. A team of data analysts and marketers should regularly confirm that data analysis is accurate, messages are relevant, and that information stored is safe. Although automation is trustworthy, double checking its accuracy can prevent the unlikely rough patch in a marketing campaign.

Feeling a little better about implementing automation to your marketing? Learn why we’re saying automation is a long-term investment, or get the scoop on our very own NectarSuite automation.

Technology can be scary topic for some. Technology brings change and complicated concepts, which can be challenging even for the tech-savvy. Implementing foreign concepts may seem overwhelming, and can scare off marketers.

However, one sect of technology sets itself apart from the rest because of its usefulness and potential assets. Marketing automation can be a marketer’s best friend when implemented into a marketing strategy.

And, despite its technological ties, automation can be easy for marketers using the right software and the right data to create content.

Software

The first step in keeping automation easy is choosing the right automation software. Each platform has different tools. With that in mind, it’s important to make sure the software you choose corresponds with your company’s marketing goals.

Establishing what an automation software can do for your company is important. Some software provides a few automation commands, while others offer dozens of different options. Marketing automation is best known for sending automated emails. However, this is just the tip of the automation software iceberg. Marketers can also use automation software to conduct A/B testing, lead generation, customer segmentation, and content organization. Depending on what you’re using your automation for, choose a software that coincides best with your automation goals.

Your automation software must also be easy to operate. Software that is too difficult to understand can lead to an automation nightmare. Instead of saving a company time, a confusing platform may actually cost extra time, money and other resources. Before fully committing to a particular software, marketers should make sure they understand how to operate the platform… or have access to someone else that can!

We encourage marketers to consider marketing automation systems like nectarOM’s.

Data

After determining which automation platform is best, marketers can begin to develop content. The key to drafting automation content easily is in the data. making-automation-easy

A common misconception is that automation generates content that is cold, robotic and impersonal. However, customer data helps marketers develop personalized, targeted messages for consumers. Generally, customers prefer this personalized content. When marketers correctly use data, coming up with content for automation messages can be relevant and efficient.

So here’s the problem:

If marketers are using bad data, developing content may take an unnecessarily long time. And – what’s more – the content may not even be effective. To prevent any data mishaps, marketers should eliminate bad data from their data pool.

Bad data consists of data that is too old, irrelevant, or simply wrong. To avoid falling into the dirty data trap, marketers must weed out this bad data from their data pool.

To prevent collection of more bad data, marketers should consider the following precautions.

  • Marketers should collect data from a variety of outlets, incorporating data from 1st and 3rd parties.
  • Additionally, marketers should not hesitate to ask shoppers for personal information. The more relevant information a company has about a customer, the better a personalized experience will be.
  • Lastly, marketers should evaluate specific metrics to determine whether the automation is working successfully. Figuring out what works and what doesn’t work can be a huge help for marketers.

Equipped with good software and good data, marketers can easily draft a positive automation experience for customers. Intrigued about implementing automation into your marketing strategy? Learn more about how to manage multiple channels with automation.

Easiest one-to-one marketing suiteIs Nectar really the “easiest one-to-one marketing suite”?  Yes! We have developed an integrated SaaS suite that makes the marketer’s job easy as pie.

And how have we done it?  Our comprehensive software suite allows marketers to take disparate big data about thousands (or millions++) of customers and create individual 360-degree profiles in real time, then determine the BEST marketing message for each of those customers and get it to them, regardless of the device or channel they use.  No technical expertise required!

Do you have lots of data in different places that you know has value, but you just can’t seem to get all the dots connected? nectarConnect will do that for you. We are your quick and easy Data Management Platform.

Do you have communications that you’re trying to personalize for your customers but just can’t make it relevant enough for them?  Have you tried customer segmentation but aren’t getting the results you expected? nectarEssence will apply our proprietary algorithms to your data and generate one-to-one marketing messages for each of your customers IN MINUTES!

Do you struggle to get relevant messages to your customers across all the touchpoints you have?  nectarEngage will distribute your one-to-one marketing messages to each of your customers, no matter how many you have, in real time, across email, mobile, website, and social.  Really!

Listen to our Founder & CEO, Amrit Kirpalani, talk about Nectar: //www.youtube.com/watch?v=hMCPhluRuTg.

 

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Connect the Customer Dots

I recently read an article called “In Media, Big Data Is Booming but Big Results Are Lacking” written for All Things D, that included several very interesting tidbits of information:

  • 90% of the world’s data has been accumulated in the past two years.
  • We’re generating 2.5 quintillion bytes of data per day.
  • Many companies are logging and contextualizing all this information but little is happening to the information once it’s stored in the database.
  • And, “Even though almost every CEO says their companies are becoming data-driven, the fact is that most high-level decisions are still being made from bullet points, not data points.”

We all know that we have a LOT of data to contend with: transactions, onsite clicks, email interactions, loyalty cards, social networks, mobile apps, m-commerce, customer service calls, 3rd parties, and the list goes on.  Having access to all this data is great, but it’s just a bunch of noise unless you do something with it.  The key to getting value from your big data is connecting all those dots among the different customer data sets.  Imagine if you could put ALL of your disparate sets of data into ONE huge database, and you have a tool that allows you to associate the data from each set with specific customers.  Wow!

Think of what you can learn about your customers. Think about the value you can deliver for your customers.  Think about how much more engaged your customers will be when you speak with each of them as if you know him or her. Think of how your customers will buy more from you because they are more engaged.

Now think nectarConnect.  Because that’s what nectarConnect can do for your business.  This SaaS product combines all your disparate sets of big data and connects the dots to give you a 360 degree view of each of your customers. At scale.  nectarConnect then works with other elements of the Nectar Solution Suite

nectarConnect brings order to your data chaos.  Now you can use all that valuable customer data you’ve been collecting and make it work for you.  That’s how you use big data to drive revenue.

 

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