Turning Anonymous Website Visitors Into Profitable Leads
Aug 30, 2021 3:41:47 PM / by Keith Snow posted in anonymous website visitors, digital marketing, hyper-personalization
Is Pie Bad? Only When It Comes to Data Visualization Charts.
Aug 23, 2021 9:44:02 AM / by Michelle Kosmicki posted in data visualization
First, an important point. Pie, the dessert, is great.
Data Cleansing Best Practices to Start Now
Jul 12, 2021 2:08:15 PM / by Keith Snow posted in dirty data, data hygiene
Dirty data is a big problem for nearly any company collecting information for strategic business purposes. (Which should be every company that wants to understand its customers, track and respond to trends, and create personalized marketing efforts.)
Why Dirty Data is Killing Your Data Marketing Results
Jun 15, 2021 3:34:26 PM / by Keith Snow posted in dirty data, data hygiene
By now, it’s likely your company data plays an important role in powering performance and
results. Good data shines a light on what drives core areas of business, such as how and where
you acquire customers, what your “ideal” customer looks like, which products and services
propel growth and with who, how customers engage with your brand … and the list goes on.
How Weather-Triggered Marketing Creates More Meaningful, Effective Interactions with Customers
May 14, 2021 10:20:09 AM / by Keith Snow posted in weather-triggered-marketing, weather-data
If you don’t like the weather, wait five minutes. Weather can change our daily plans in an instant. Think about it … how often do you check the weather app on your device?
Much of what we do can be influenced by the weather:
Use Geomarketing to Reach Your Competitor’s Customers
Apr 19, 2021 10:27:38 AM / by Keith Snow posted in geomarketing, geoconquesting
Attention spans are short, and every day your brand is battling for limited mindshare. Is there a proven way to target the people you *know* will be interested in your product?
The answer may not be quite what you think…
Who are the people practically guaranteed to be receptive to your message? Those who are already using a similar product or service. Or, more specifically – your competitors’ customers.
Just as analyzing your own data yields important customer insights, on the other side of the coin is the often-overlooked competitive analysis. Let’s take a look at the marketing strategy that drives this approach, geomarketing.
Geomarketing Harnesses the Power of Location
Geomarketing uses geographic, or location-based, data to help companies hyper-personalize marketing strategies and campaigns to current and potential customers. Companies that understand where their customers go in the physical world – as well as the online world – can create valuable customer profiles and insights.
Now, take that one step further …
Companies that have the same insights about their competition’s customers can use them to provide compelling offers at just the right moment and better customer experiences. Done right, you just might earn their business for yourself.
Geo-marketing strategies add several different tools to the marketer’s toolbox.
- Geotargeting. As the saying goes, hindsight is 20/20. Geotargeting helps to analyze who has visited a specific area or location in the recent past.
- Geofencing. Think of geo-fencing as a creating a “virtual fence” around a designated area. You can capture real-time information about the people within the fence and also elect to send them ads when they are within the specified area.
- Geoconquesting. This tactic can be a game changer for those who want to specifically attract customers away from the competition and toward their brand. Geoconquesting uses location data to precisely target people who are visiting, or have visited, a competing business.
Three Ways Mobile Advertising IDs Can Help Marketing Leaders
Mar 11, 2021 1:04:31 PM / by Keith Snow posted in MotusMobile, MAIDs
Most of us can admit it – we’re addicted to our phones. According to this article, more than 91 percent of smartphone users have their phone within reach 24 hours a day. Wow!
This is great news for marketers who want to connect with their audience wherever they are today. That is, provided you have the insights around where your customers are and what they’re doing online.
So, how do you find out?
Let the MAIDs guide the way.
Inside those phones we hold so closely is something called a mobile advertising identifier or MAID. It’s a string of digits that include numbers, letters, and symbols that are assigned to that mobile device. MAIDs are in the device’s operating system and when the device owner downloads and installs apps, marketers can retrieve this unique information and use it to more deeply understand their customers and prospects. It enables highly targeted and effective mobile advertising.
Customers don’t have to be using YOUR app to produce helpful MAID data. ANY application on their phone that uses location services (like a weather app) creates collectible intelligence. The only way MAIDs can be deleted is to reset the device, so they have a longer shelf life than cookies.
IP Targeting Might Be Exactly What Your Marketing is Missing
Feb 17, 2021 12:28:38 PM / by Keith Snow
Like many other CMOs and marketing pros, you might be left with a nagging feeling that you should be doing more with your data. How do we know? Take this survey for one, where fewer than 10% of marketers said they had the data they needed.
Information about your customers and prospects is growing by the day …. but what should you be doing with it? And, which efforts will yield the best ROI?
Like most things, there is no silver bullet to make you an amazing marketer. It takes time, effort, bravery, curiosity and creativity. Organizations starting on their marketing journey would be wise to hire someone to take on this responsibility, even if a partner agency, because it takes thought, knowledge and consistency to be successful in marketing.
Want to use data for marketing campaigns, but not quite sure which is the best data to use? Data can be obtained and applied to a marketing campaign in many different ways, so it is important to understand the different types of data, how they could be used, and any risks associated with each type.