A Huge Mistake That Will Kill Your Profits Immediately
At first everything was great. Tens of thousands of customers accept offers and cash in on coupons. The customer analytics data pouring in is an absolute gold mine.
Any company would love to have these solid, specific, fresh details: what offers people are actually responding to, when, what they’re buying, how they’re buying, what they’re ignoring and what they buy again.
But then the bottom dropped out…
The marketing director suddenly decided to ignore all this precious response data and go in a new direction. Months later? Sales are stagnant and everybody wonders what happened.
2017 was a bloodbath for companies making stupid mistakes like this. And sadly, the trend will continue. Why? It doesn’t have to happen, but people simply refuse to learn to market. “You’re selling from your heels,” the well paid expert explained to the nearly dead company. How does he explain the advice?
“It means you don’t 100% believe in what you’re doing.”
Despite all the hard work they put into marketing, tracking customer behavior, analyzing the data and sending out more offers… they threw it all in the trash.
Let’s say you have an employee. He’s a likeable and friendly salesman. But there’s a customer with deep pockets standing outside your door. And a whole week goes by. The customer still passes your door, pausing, waiting for an invitation to come in and buy. But your employee does nothing.
How long would you keep this employee?
Do you make this same blunder with your response data? It cost you real time, effort and money to execute marketing campaigns, track customer behavior and then store the data. Yet if you do nothing with it, this will cost you far more money than you ever spent to get the data.
In one study, 93% of businesses say data is important (or very important) to their success. Yet some companies lie to themselves: “Oh yes, we use our data.” But the truth is, they don’t send out any marketing until the next quarter. Data from the last quarter or last year?
It’s actually rotten by now. Unusable.
Nobody can deny it. Our business environment is changing so rapidly it takes real focus to keep up. It’s vital to know exactly who your target audience is… this month, this week, today. And it’s becoming essential for survival to use behavior data to narrow your focus down to who is going to buy right now.
Let’s say your analytics find 100,000 people who look just like your current customers. Yet predictive modeling shows that only 15,000 of these people will buy immediately. You’re smart. You don’t dismiss the other 85,000. You simply market to them differently than the 15,000.
You keep on digging. You find 5,000 among the 15,000 who become the prime focus of your marketing initiative. And you send out offers to them at least every month.
Companies who will dominate this year have a strategy and a plan that includes action like this. Are you starting to appreciate why it’s absolutely critical that you use really reliable data?
And then act on it?
The biggest mistake companies make is failure to take action. Enough action. Often enough. To grow their business and achieve the results, success and freedom they want.
Don’t make this mistake. Guard your data. Use your data. Refresh your data. Profit from your data.
Let’s make this year the best one yet.
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Why Behavior Data Is The New Unfair Advantage You Need
Two, 5 or maybe 10 years from now, the story of you and all the other companies in your industry will be exactly like Amazon vs. Walmart, Target, Sears, KMart, etc. There will be a couple who turned out sort of okay. There’ll be a lot of losers and one amazing success story. You can be the success story, and here’s how.
Everybody’s talking about mobile device data, big data and behavior data. But the real question is: How should you be using this data right now? (And yes, you should be.)
Think for a moment about how people act and what this tells you. For example, the armed forces know they’ve had a lot of success recruiting young people who:
- Have a veteran (or someone currently serving) in the household.
- Visited an armed forces website.
- Are taking some responsibility (looking for a job, getting a car or planning for college).
This is a great example of propensities. In this case, a person with a high propensity to join the military. People who behave a certain way are more likely to take an expected action. The more criteria they fit, the higher the propensity they have (the more likely they are) to act.
Notice the first item (veteran in the house) is a simple demographic. Marketers have known about and used demographics for years. And what about the website visitors? Cookies and targeting pixels can often be matched to specific people with their consent. (They entered their email, filled out a form or requested information.)
But what about the last item? Back in the day, there were only desktop and laptop computers. Now, almost everyone uses their mobile device.
Keyword tools can tell you what searches people type into Google. But can you see how the apps people install on their phones tell you so much about them? They tell you people’s lifestyles, habits, even the purchases they are about to make.
How can you use this information? Well, you could make a list of certain apps and target anyone who uses them. One little problem with that: tons of brand new apps are popping up on people’s phones every day. Your criteria is obsolete before you can use it.
How can you solve this? Categories. Every app falls into a finite number of categories. In the example above, some apps fall into the job-seeking category. Other apps are for college planning.
If you sell cars, imagine how useful it would be to know that someone in your area is searching for a car right now. Either on your lot or a competitor’s. Even if they’re searching for Fords and you sell Chevy – wouldn’t you like to know about them? And as you can see, behavior data not only tells you who – but can tell you when to make people offers.
It gets better. To get the best deals, consumers are happily revealing their location through their devices. And even the purchases they make. Can you see the opportunities here?
Yet there’s another reason you should be using behavior data now. Earl Nightingale, one of the first business philosophers said something really powerful:
“If you really want success…you can get a head start by looking at what everybody else is doing and do the opposite.”
It’s strange advice for those not familiar, but it’s a great strategy for those who are serious about improving their business. Let’s deal in reality here. Most people want 100% certainty before they dive into a marketing method. (And most people make excuses instead of progress, too.)
Mobile device data, behavior data and propensities are still new. And yes, there will always be a bit of unknown in any marketing strategy. Yet the risk behind behavior data is far lower, far safer than just using demographic data or all those marketing tactics people used in past decades. When you use methods like behavior data to narrow your focus and target a specific audience, you don’t just get a little better – your marketing gets exponentially better.
Not everyone will act on this. Some will just talk. Others will wait and see. And that’s why some companies will sort of do ok. Most of them will fail. And only a few will win big.
What will you do?
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How to Succeed With The One Habit of Highly Effective Marketers
This one habit is everything: finding the right people.
Because let’s face it, this is more important than all the sales methods, copywriting techniques and negotiating tactics in the world. The wrong person doesn’t have the money. Or they don’t care. Or may not be as easy to convince.
If your marketing doesn’t get you in front of the right people, you’ll never sell. Plain and simple. Yet even this is not enough. In these competitive times, if you try to sell to everyone who will buy…you will fail.
Starbucks understands this. They know that 40 out of 100 people are willing to pay 50 cents for a cuppa joe. Yet they find and focus only on the 8 people willing to pay $2 to $5 for the luxury blends. (And this is why all those corner coffee shops went out of business.) If you’re not targeting the crucial 20% of your audience (or 10%), you need to learn how. And how do you do it?
Predictive analytic models.
Yes, there are a variety of these models to increase your revenues and delight your customers. But don’t let all the science or choices scare you. Here are some (hopefully) simple, real-world examples to help you know what to do.
Think of these models as tools in a toolbox. (You wouldn’t use a saw if you needed a hammer.)
First, just like in the Starbucks example above, you need to segment (or cluster) your audience. Who are the 50-cent people? Who are the $5 people?
This is not just demographics like age and zip code. Want to delve deeper and get a more profitable answer?
Some of your customers may be big spenders on their first order. Others may purchase less at a time but be more loyal, long-term buyers. Still others may buy more because of discounts. Do they contact you via your website, in person or use the phone?
Not only could you look at average order size or total revenue for each…what about days between orders? Total number of orders? Total items per order? Size of first order? Number of products in their first order? Percentage of spending on discounted items?
Let’s say you have a group of frequent buyers with small orders. A simple offer like this could really increase your profits: “Earn double reward points when you spend $20 or more.”
You could also segment your customers by product. Do they like coffee or tea? French or Italian roast? If you represent multiple brands, which brands do your best customers prefer? Which brands do they have the least interest in?
Have you thought through who your best customers are (or might be)? Talk to an experienced data provider about this kind of segment/cluster modeling to help you analyze your own buyer data. And once you know who your very best customers are, you still need to find more people like them. How?
Propensities Predict Profits
The best data companies can also match your best customers with their records – and find a whole lot more of the best kind of people, ready to buy from you. From this new, larger list, propensity modeling can rank each listed person a number of ways:
You can predict someone’s…
- Future lifetime value as your customer – even before they buy from you. This data also tells you their demographics, email and what channels they use to buy. Can you see just how valuable this is when choosing how to market to them?
- Share of wallet. For example, if a customer spends $100 with you, is this 10% or 90% of their total spending on this type of product/service for a given time period? If you know your future revenue potential with them, you can design campaigns to capture this money.
- Propensity to engage. If they don’t click on emails, you don’t want to send emails to them. Or you might see that they will answer the phone or open direct mail.
- Propensity to unsubscribe. This allows you to know how often to send them emails. If they are good buyers but likely to unsubscribe, send them emails, but less often.
- Propensity to convert. You already spend enough getting offers in front of people. Reduce your spending by only putting offers in front of people likely to respond.
- Propensity to buy. When you know who is ready to buy and who isn’t, you also know how aggressive to make your offers. And ready prospects don’t need high discounts. Stop eating up your margin with them. (But you might want to make more aggressive offers to get incremental profits from people who are still high value.)
- Propensity to churn. One auto insurance company used this model, calling it their Auto Insurance Switcher model. Think of how profitable it is to know who is likely to buy your insurance now but switch next year to get the current cheap rate. Instead, you can reduce ad spending while increasing profits – all by targeting people more likely to stay with your company.
What You Must Know About Propensities
Propensities, when used right, can be scary accurate. They can predict what people will do, long before even they realize what they are going to do. Yet this kind of math has lots of variables. Here are a couple common ways to fail:
- Use one provider to analyze your data, but buy your list from another vendor.
- Use one set of methods to select your best customers, but another set of criteria for your prospect list.
A good data partner can help you gather your data, compile reports, identify your audience and best prospects. Every winning company this coming year will take their data and their data partner very seriously.
After all, finding the right people is the one habit of highly effective marketers.
What will you do? How do you find the right people?
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Save 80% Time & Money: How to Market to the Crucial 20%
Wouldn’t we all like to save 80% of our time, money and marketing effort, while getting 10 times or even 100 times the results?
However, that’s just what Cara accomplished. Let’s see how she did it, and how easily you can do the same.
Starting out, Cara did what most failing marketers do… she found a “deal” renting a cheap list of 5000 prospects for 20 cents per name. It cost her an extra dollar per person to get the offer in front of her list. Total cost: $5500. Since 40 people bought her product at $100 profit each, she got $4000 back for her effort.
Poor Cara. She lost $1500 on this campaign. (Okay, I rounded the numbers, but this is really close to what happened.) Sadly, she thought her target audience should be “everyone interested in my product.” But the school of hard knocks really motivated her to take a closer look at buyer personas and exactly who her ideal audience is.
“What things do I need to look at to find my ideal customers?” Excellent question, Cara.
Fortunately, she found a great data provider who guided her through modelling tools and buyer propensities. Cara selected a list of only 500 prospects. Sure, these extra data analytics cost $2 per name instead of 20 cents each. Was it worth it?
Well, considering she spent the same dollar per person to get her offer in front of the new list, her total cost was $1500. This time, she sold to 30 people, making sales totaling $3000. Yay for Cara! This time, instead of losing, she doubled her money.
Really though, she saved 73% of her marketing cost. And she converted 7.5 times as many prospects into sales. But, you may say, how could you get 100 times the results? Another great question.
We’ve all heard of Mr. Pareto. The original 80/20 guy. Truth is, his principle can be applied to itself. Not only will 20% of your best prospects give you 80% of your profits… The top 4% of your prospects will give you 64% of your profits. (20% of 20% and 80% of 80%.)
So, if you can identify the top 20% of your best prospects, you can really be 16 times more profitable. And if you identify the top 4% of your prospects…wait for it…you can be 250 times more profitable . If you are not following this formula, “you are leaving millions on the table,” says Brian Kurtz, Executive Vice President of Boardroom Inc. and leading direct marketing expert.
Don’t think it’s that valuable to niche down this much? Look at Amazon. They specialize in one tiny niche after another. And even a decade ago, that’s how they sold 50% of their books. Even small businesses can compete with large companies by targeting a smaller niche like this.
How can you make this easy for your business?
Let’s say you’re the Dallas Cowboys. Most fans will get into the stadium for $19. Some of them will get $1000 season tickets for the mediocre seats. Only a few will get the $10,000 seats near the 50-yard line. And a tiny fraction of them will dish out far more money than this to enjoy the ultra-exclusive sky boxes. How much will a raving football fanatic (with money) spend on football? A virtually unlimited amount. You want to find THIS kind of people. And you CAN (and should) find them.
Even if you’re only the company selling the peanuts.
Ask yourself about demographics: Who are your best customers? How old are they? Where do they live? What about their gender, income level, education, family/marital status, occupation and ethnic background? Now, ask yourself about their motives. What makes them buy? What is their personality, attitudes, values, interests/hobbies, lifestyle and behavior?
How can you know this stuff?
It’s not as hard as you might think to learn the right way to use a propensity modelling tool. Or some brand new (and yet relatively inexpensive) methods to give you real behavior data on your ideal customers.
Or better yet, call us. We’re happy to walk you through our tools right now.
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Why Is It So Hard to Get a Good Marketing ROI?
Michael stood in front of the screen – palms sweaty and dreading the result – only to stare in shock at the number in the email. Just two measly sales… after all the cash he’d poured into this one marketing effort.
“How could I be so wrong? Will anyone trust me again?” If you’ve ever felt the anxiety bleeding through your team after a campaign like this, you’re not alone.
And fortunately, this nationwide homebuilder learned the big reason why they (and so many others) flounder so miserably with their marketing.
Knowing your audience is the key.
It seems this simple idea is pounded into us from every angle.
Companies “think” they understand.
They listen to the experts and read the articles. Yet when they send out offers to people, it’s obvious they really don’t know their audience. We hear about lookalike audiences, buyer personas and modeled propensities. It’s a great idea: reach your best prospects – the ones most like your best existing customers. And if it’s done right…
Michael decided on a short consultation and to try our data. He was a little cautious though, probably even a bit skeptical. “Let’s aim for 4 sales.”
When he got 12 sales and made $13.64 on every dollar he spent, Michael became a believer.
Knowing your audience is just this powerful.
And without a doubt, it’s the first step to make your marketing efforts effective in 2018.
How does it work? You start by sending a spreadsheet or list of your current customers. Maybe all you have is just their names and addresses. Likely there’s quite a bit of information on your customers. (In the sample below, we found data on 85% of our client’s customers.)
Sure, quite a few data companies could tell you the marital status, number of kids and simple demographics on your customers. But what about their political preference? Their hobbies? The way they connect to the internet? Their health, income, vehicles, even how they use their credit cards? (Obviously, due to privacy we can’t learn some of these things directly.)
If you analyze dozens of factors like these – with your best customers – you’ll start to see amazing trends. You can even see why they buy, and when. More than this, what if you could search through 250 million people, using these same factors?
You could find a CROWD of people with the SAME motives and timing.
Imagine what this can do for your sales and profits.
In the sample report below, notice these prospects are labeled “Best performers.” And there are 1.3 million of them.
Focus your best marketing efforts on these people.
And of course, this number could be narrowed down even further – even more targeted. For example, by using pre-defined propensity models, you can learn even more about people and how likely they are to behave like your existing customers.
Want to reach more people? No problem. There are 9.4 million “Undecided prospects.” People where some of the factors match, but they are less likely to buy than the “Best” ones. You could target them with a different kind of offer.
This is what an augmented lookalike report can do for you.
How do you feel about this? How do you get to know your audience? Want to get to know your audience like this?
Pick up the phone and call us.
We’re going to help some select companies exceed their marketing goals in 2018. Are you in?
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Direct Mail is Still an Essential Part of any Marketing Strategy
It would be easy to disregard the power of printed materials in a world on the verge of complete digitization. In terms of acting like consumers, there has been an obvious shift to the speed, efficiency and ultimate accessibility to our favorite products, brands and services via the Internet.
In fact, any modern marketing strategy is almost obligated to allocate a significant amount of resources to digital efforts: designing a sleek, user-friendly website, devising email campaigns and pushing social media to increase overall presence.
The immense proliferation of technology in the last few years would suggest that any need for a printed, direct mail strategy has been negated. However, in the pursuit of high-performance marketing, this is still a hugely valuable asset that when combined with powerful big-data insights, can bolster your overall strategy and ultimately boost sales.
Print’s dead, though, right?
Not only is direct mail still a viable marketing tactic, it could actually provide your company with an opportunity to stand out amidst all of the competition we now find online. While it shouldn’t be your company’s sole tool, it can act in a complementary role in terms of accessing your customers at the right time with a relevant message. While digitization has forced the newspaper and magazine industries to downsize and adapt, companies are still finding benefits from mailing their customers directly.
Why? For several reasons. First of all, it can be your company’s personal touch.
Mobile data is giving marketers better insights into what consumers are searching for, what they’re trying to purchase and when. This is critical in terms of designing targeted approaches to ensure consumers are actually benefiting from your marketing. However, it’s easy to lose any kind of personalization when everything is automated. With more complete and accurate mailing lists–informed by big-data–direct mail is still the standard for reaching out to customers with a personal touch.
We still want very real things in our hands, which is something totally lost in email inboxes.
The flexibility of direct mail allows you to create something that can reach into consumer psyches more deeply than well-crafted emails. Something that is attention grabbing, boosted by rich visuals (as opposed to lengthy text on a screen), with a simple progression that directs the customer to follow your desired call to action, can propel consumers to either act or at least take notice.
Keys for an effective direct mailing strategy, in terms of the actual materials being sent (according to the Data & Marketing Association):
We have short attention spans. Marketing that cuts through the clutter with attention-getting graphics and copy more apt to gain and hold that attention.
In fact, the brain processes visuals exponentially faster than the time it takes the brain to decode text. Well used imagery can quickly get your piece noticed, and your message across.
Keep it simple.
Direct mail that creates a simple decision path with limited copy and explanation always tests better.
Furthermore, in an industry that finds immense value in data, direct mail can be directly measurable.
The United States Postal Service is an integral part of our country’s overall mailing industry. In fact, because it can deliver mail to every address (Every Door Direct Mail), companies like UPS and FedEx often piggyback off of its services. This is important because the USPS is able to constantly measure how much mail is coming and going, what kind of mail is being sent, and even whether or not people are reading their mail.
The United States Postal Service almost does the work for marketing researchers.
A large part of this is accomplished by the Household Diary Study (HDS), a survey that’s been conducted by the USPS since 1987. The metrics from this survey can provide insight to companies trying to make the most of their direct mail efforts. These metrics include total mail sent and received by households based on different demographics ranging from the age and size of households, education and income levels, and access to the Internet. According to this survey, in 2016 advertising mail represented 62 percent of all mail sent and received by households (about 79 billion pieces of mail). The culmination of this data, paired with the insights of mobile and big-data , make it possible for your company to appropriately and accurately determine how best to approach consumers.
Advertising Mail Received by Income and Education (Pieces per Household per Week)
Advertising Mail Received by Income and Age (Pieces per Household per Week)
“73 percent of households either read or scan advertising mail received”
Ok, but what about the cost?
In terms of how cost-effective direct mail can be, it depends on how you decide to approach it. It can be expensive, especially if you’re sending out large catalogs chalk full of visuals and designs that require professional work such as copywriters, photographers, designers and printers. Opting for First Class mail (which means reaching your customers faster) can also bump the price up, but because of how flexible direct mail can be in general, it’s a cost-effective strategy that can be tailor made to fit any budget.
Contact us to learn more about how Direct Mail marketing can boost your prospecting.
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The Shocking Truth About Your Marketing Channel
Many people still believe you only need one marketing channel – and they couldn’t be more wrong. For example, malls are lined with countless businesses. And most of these shops rely solely on one thing: a crowded mall area to bring people inside to buy.
Analyst Jan Kniffen says one-third of all the big malls in America will close their doors over the next few years. Nearly two-thirds of the remaining malls will struggle.
Industry veteran John Hazen asked his peers at a recent conference: “Is anyone not seeing large traffic declines?”
Why Single Channel Marketing Is Killing You
Consider this scenario: Brandon McDonald, of Nashville, Tennessee, walks into a local store. Brandon is excited about the Nikon digital camera he’s planning to buy and have in his hands today. Yet when he gets into the store, he decides to scan and check the price with an app on his phone. An online company is selling the same camera for less than what the store is now offering. Brandon decides to buy online and wait for his camera to arrive.
Why Selling Online Doesn’t Fix This Problem Either
Remember, Brandon first wanted to buy from the local store. Like so many customers, he loves to hold the camera in his hands–instant gratification. If only the store knew what Brandon wanted. It would have been win-win for Brandon and the store.
This problem doesn’t just plague retail stores and physical products.
The Secret To One Bank’s Success
One regional bank depended almost entirely on people walking into the bank and asking for a loan.
Yes, they have a website. But only about 1% of web visitors were submitting a loan request. The bank decided to look at data for their mobile and online visitors–surprise! They could recover the business of a significant number of people who abandoned the bank’s online loan form. Sales of current-account and personal loan products shot up 25%.
This is just one way that mobile insights are changing the face of marketing. And moving the whole world toward multi- and omnichannel marketing.
Your Customers Expect Multi & Omnichannel Marketing
As you can see, marketing to people through multiple channels or methods increases your ability to sell and profit. Omnichannel marketing means tying these methods or channels (apps, digital tools or shopping venues) together in an easy-to-use, consistent way for even more profit. More and more, customers are expecting this kind of buying experience. They want to hop on their phone or device and see exactly what inventory you have available. Or they want to shop online and pick products up at your local store.
The Numbers Don’t Lie
Rice University studied 46,000 shoppers for a 14-month period.
Only 7% shopped online exclusively. And 20% visited stores without using any other apps or venues. A whopping 73% used multiple channels in their shopping journey. These multi/omnichannel shoppers absolutely love touchpoints – in all sorts of combinations and locations. Touchpoints like offers to compare prices and download coupons.
In fact, they are avid users of all sorts of mobile tools such as interactive catalogs and price checkers. They bought online and picked up at the store. They bought at the store and got their products shipped.
Multi-channel and Omnichannel Shoppers Are More Valuable
And those who used multiple channels spent 4% more in the store and 10% more online than the single-channel folks. In fact, those who used 4 or more channels spent 9% more in-store than the one-channel shoppers. And those who used apps to research online first? They spent 13% more in-store. Six months after these shoppers had their first omnichannel experience, they were shopping 23% more. And they were far more likely to recommend their chosen brand to friends and family.
The “Killer App”
No wonder many are calling omnichannel marketing the “killer app” – because it’s saving the future of so many businesses. Despite the bleak future of single-channel businesses, you now know the secret that empowers you to reach your customers at the right time, with the right message. It’s why the most successful marketing campaigns today are omnichannel campaigns. It’s how you give your customers what they really want.
How will you use omnichannel marketing?
Contact us to learn more about how multi-channel & omnichannel marketing can improve your prospect marketing.
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The Power of Mobile Data in a Data-Centric World
Modern marketing is fully embracing the explosive emergence of mobile-based consumer data. Because of its ability to capture a more accurate snapshot of when consumers are seeking out a particular company–or its products and services–mobile data has created a step-change in how marketers are crafting and delivering their message. Consumers are seeing this change manifest itself into today’s highest performing omnichannel strategies; which is connecting them with the right message, through the right channel, and most critically… at the right time.
It’s estimated that by 2020 more than 80 percent of adults worldwide will have mobile devices. This is going to continue to drive up social media usage, increased families with multiple devices, and even more data for marketers to utilize to better connect with consumers. Smartphones and tablets have given consumers real strength in terms of providing them with multiple platforms to access businesses, for finding information on products and services, and to even purchase those items.
What Do the Numbers Say?
How much data the world currently uses is creeping up, rising from 7 exabytes per month in 2016 to 11 exabytes per month in 2017, with a predicted increase to 17 exabytes per month in 2018 (one exabyte is one quintillion bytes). However, that number could increase exponentially to 49 exabytes per month in 2021.
According to a survey developed by App Annie, worldwide app downloads in 2016 exceeded 90 billion (an increase of more than 13 billion). During this time, the number of hours that consumers spent using these apps boomed by more than 150 billion hours to almost 900 billion hours. While this will add an incredible amount of data for marketers to sift through, it will also lead to more accurate, relevant marketing lists that will allow businesses to reach out and connect with consumers at the right time, in the right way.
“Increasing the quality of sales leads, improving the quality of sales lead data, improving prospecting list accuracy, territory planning, win rates and decision maker engagement strategies are all areas where big data is making a contribution to sales today.” said Forbes’ Contributor Louis Columbus.
What Does This Mean For Marketers?
What this information will allow marketers to do is to gain better insight into when, where, and how consumers are spending money. It also empowers businesses with the means to evaluate the performance of their product and services in the market; such as determining pricing and placement.
The number of devices consumers have access to is increasing; the number of apps being downloaded and the time spent on them is increasing; and marketing dollars used in the mobile space are increasing; all because of how quickly consumers are incorporating new technology into their lives. Generation Z is being raised with devices in their hands while millennials perpetually push technology and app trends (such as boosting Instagram, Facebook, Twitter to new heights). It has become obvious that with such an integration of technology into our daily lives, marketers are going to be inundated with information about its consumers from across multiple channels in order to connect with them with relevant and timely offers.
The Emergence of Life Event Marketing
It has become apparent that the insights from mobile data can provide businesses with opportunities for identifying when consumers are experiencing a significant life event. If a particular consumer has entered into a fairly monumental life phase (which usually involves large, complex purchases) chances are they’re using several apps or platforms to access the products and services associated with these events. This is valuable information for marketers, which is reflected in a study conducted by Royal Mail Data Services. In 2014, only 15 percent of marketers surveyed saw life events as a new sales opportunity, 32 percent surveyed said those events provided a reason to engage with customers. In just a year, those numbers jumped to 50 percent and 70 percent, respectively, indicating how marketers were viewing these particular moments to connect with consumers.
Contact us to learn more about how mobile insights can improve your marketing.
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Data Protection & Data Protection Day
|Many are not aware that January 28th is celebrated internationally as Data Protection Day. It really shouldn’t come as a surprise as current day data breaches are costing companies an average of $4 million, according to a CNBC article referencing a 2016 IBM Security report. That equates to roughly $158 per lost or stolen record. Ouch!|
National List Services takes data security very seriously. We only acquire data that is legally and ethically available, and diligently steward that data to the end-user. We also take great care in protecting house data uploaded to our count system at www.nationallistcounts.com for suppression.
National List Count suppressions are protected by multiple layers of security that not only ensure the data is secure externally, but internally as well. National List Services and its employees are unable to access the data in it’s original form. Beyond using Secure Socket Layer (SSL) technology to encrypt information sent from your browser to the count system, data uploads are additionally encrypted with match-keys that are generated in real-time, and only those match-keys are stored. Data in its original form, is discarded. Additionally, there is absolutely zero Personally Identifiably Information (PII) kept.
National List Counts January API Release Info
In past months, we added to National List Counts–www.nationalalistcounts.com–a few exciting, new capabilities that will allow users better define count universes, enhance the user experience, specify and secure order outputs.
The Release includes:
· Asynchronous Count Requests
· Upload Codes
· Custom Layout
· DriveTime Radius
· Order File Encryption
· Merge Count Feature Improvements
Asynchronous Count Requests
Using National List Counts, you can now submit asynchronous count requests that allow you to add complex use cases into your application without impacting user workflow and user experience. Previously, in the case of complex use cases, users had to wait for the count result to return without being able to perform other tasks.
This feature allows to define a count structure in a text document and push it to National List Counts. The main advantage of this feature uploading millions of codes in the archived simple structure for unlimited use in future counts. That opens up the ability to operate on the level of ZIPs, ZIPCRRT, ZIP9 codes or even record IDs to deal with an exactly defined universe.
National List Counts now allows you to fine tune a Custom Layout for any placed order that leads to data delivery to a client. Previously, the ability to manipulate with the layout in National List Count’s orders was limited and required special setup for each predefined layout.
DriveTime further extends the Radius feature and allows you to get the closest records to a location based on travel time.
Order File Encryption
This feature allows you to encrypt your order file with your own key to ensure another layer of data security.
Merge Count Feature Improvements
The National List Count’s Merge Count feature was further enhanced to provide more flexibility. It includes an option to request faster counts without providing a breakdown by parts. It also supports optional breakdowns by any allowed selection similar to regular counts and provides the ability to operate with Query Builder counts as parts of a Merge count.
These features are released as a free enhancement and will be available to all users!
Contact us for more information or for help getting started.