4 Internet Marketing Terms You Are Probably Using Wrong
The internet and the marketing industry have something in common: They are full of terms and acronyms that can feel like an entirely different language. It can be super easy to misunderstand and/or misuse those terms. Here’s 4 “marketing/internet jargon” terms you are probably using wrong!
- Viral ≠ more views than you normally get
- Meme ≠ a picture with words on it. Please stop doing this
- Clickbait ≠ a catchy title
- Landing page ≠ a web page you’ve landed on
What do these words actually mean and how can you use them to communicate more effectively what you actually mean?
What does it mean when you go viral? What makes something viral can be hard to quantify. There’s no magic number that means something is quote-on-quote viral. (Although MANY people try to make one.) Instead of defining viral by the numbers, it’s easier to quantify it by 2 things: reach and speed. The Wikipedia article on viral internet content makes the analogy that viral content is very similar to a virus. Viral internet content self-replicates and quickly spreads far from its original source. And often when content goes viral, it takes on its own life separate from what it was originally intended to be.
Let’s say one of your posts gets double or trip the amount of reach it normally gets. Is that viral? That’s very exciting, but no. Sorry! Although it’s possible to have something go viral with a specific community, viral implies exposure far outside it’s intended audience’s reach. With the number of platforms, and the cross-contaminating reach of those platforms, the general rule of thumb is over 2 million views in less than a few days to call something “viral.” This doesn’t mean that the content has to be a week old, it has to do with rate of expansion.
This is one of my biggest pet peeves. It can be easy to look at a meme and think that any picture with words on it can be called a meme. It can be, but that doesn’t mean that it is. Meme was coined in 1976 by Richard Dawkins in his book on Darwinian evolution as an attempt to explain memetics; or, how ideas replicate, mutate, and evolve. What makes something a meme is not what it is, but instead the way that it replicates.
For example, the Star Wars “For the better, right?” meme has been a common format to use this month. What has made it a meme isn’t the original movie quote, or the format itself. It is a meme because many people are using or repurposing the format to convey information. Memes are only effective if the format conveys emotion or a message without it being explicitly stated and in a variety of different situations.
Although the types of memes we think of are usually in a concise image-based format, things like folk tales, urban legends, and chain letters are all versions’ memes. They are structured format in which information is shared and evolves.
Are all catchy titles or hooks clickbait? No. The technical definition of clickbait is any text that is designed to entice a user to click or read on. However, the expression has a more specific connotation than that. It implies that the title isn’t accurate and is somehow disconnected from what you will see if you click. It’s similar to old school bait-and-switch marketing. Using bait or a hook isn’t wrong if you are looking to attract people, HOWEVER, the switch is wrong.
Clickbait is sensationalized content. An article titled “5 money making secrets you need to hear,” isn’t click bait if the article is actually about 5 money making tips. Which is part of what makes cracking down on malicious clickbait tricky. A lot of platforms like Facebook and YouTube measures in place to mark clickbait as spam. But how can AI decide if those 5 money making secrets are tips and tricks you actually need to hear? How does the platform know if those “secrets” can actually make you money? Clickbait is connected to consumer perception.
#4 Landing Page
If you land on a webpage does that make it a landing page? No, because a landing page is a webpage you land on that is designed with a specific purpose in mind. One person illustrated it this way: You could use a baseball glove to retrieve a hot dish from the oven, but that doesn’t make your baseball glove an oven mitt. So just because someone lands somewhere doesn’t mean that it is a post-click landing page. The landing page could be designed get the user to make a purchase or fill out a form or watch a video. It doesn’t matter what the purpose is, it matters that it has one.
What is the advantage of separating your landing pages out to specify a single action? Research has shown that companies using 40 or more single action post-click landing pages generate 120% more leads than those using less than 5!
Do you have any marketing/internet terms misuse pet peeves?
How A Lookalike Report Helps You Increase Sales
LookALike audiences have been a go-to targeting tool for almost a decade. Even before digital marketing, marketers used current audience demographics to target potential customers. With a growing number of AI tools available, businesses of all sizes have access to LookALike targeting. How can you use a LookALike Report to increase sales?
What is a LookALike Report?
Pioneered by Facebook in 2013, a LookALike report uses common attributes and demographics of your current audience to find more customers who “look like” them. These attributes can be anything from age and location to interests and hobbies. The more commonalities between your audience the more accurate your LookALike report will be.
Although originally only a tool on social media, LookALike reports are now available on many different types of platforms. For example, we often build LookALike reports with raw CRM data.
How to Maximize Your Report to Increase Sales
As great as it would be to dump all your current audience information into a LookALike report and get back a list of new customers, it usually takes a more finesse than that. Here’s 5 tips and tricks to take out some of the guess work.
#1 Define Your Audience
The goals of LookALike reports can be different so it’s important to start with the right data seeds or source audience. Since LookALike reports are based on the data you input, it really important that the data you start out with is accurate and will accomplish what you want. For example, do you want to find new customers that are like all your customers or like your best current customers?
The amount of data you can use to start with varies greatly. Facebook recommends anywhere between 1,000 and 50,000 people. Although they do say that starting with “a larger audience increases your potential reach but reduces the level of similarity between the Lookalike Audience and source audience.” Those differences between your source data and LookALike audience could be the difference between a sale or not.
Where can you get source data? Here’s three different source audiences:
- CRM Data
Seeds defined by existing CRM data match lookalike audiences with information gathered from existing customers, such as email, physical addresses, and phone numbers. However, this data is usually too broad and needs to be narrowed down to create an accurate base for a LookALike report.
- Social Media Engagement Data
Data from social media audience can also be used as a seed that a LookALike report is based on. This data is usually based on characteristics like page views and likes.
- Conversion Data
Source data based on conversion data are usually your “best customer” seeds. These are customers who have already competed and action with your business.
#2 Get Used to Segmenting Your Data
Building out your LookALike report will be a lot easier when you have a specific product or audience segment in mind. Knowing what you want to use this new audience data for will help you pick the right demographics to target. This is where audience segmenting comes in. Finding the right demographics will be easier if you already have your audience data organized or tagged by demographics.
#3 Connect Your LookALike Goals to Your Marketing Goals
Targeting using a LookALike audience can give you a higher ROI and help you reach your marketing targets. For example, if your company has found that you get higher engagements on mobile devices, you can build a LookALike report from those people. By targeting those people, you can direct your marketing efforts towards the audience most likely to help you reach your goals.
#4 Target and Retarget and Retarget
Targeting the right audience is effective, retargeting adds even more. Using a LookALike audience in a retargeting campaign adds to specific information gathered in the initial campaign. And since retargeting uses a lot of the same principles as building a LookALike audience, they go hand in hand.
#5 Switch Up Your Platforms
Facebook isn’t the only platform that supports LookALike reports. Many online platforms have LookALike audience builders built in. Switch up your platform to test new audiences and ways of reaching them. And as we mentioned earlier, we often use raw CRM data to build a LookALike report within our list system. The data we get from those reports can be used for any type of marketing.
Have you ever used a LookALike Report?
The Apple Update and Data Privacy
Apple is rolling out an update this week that finally does what they’ve been threatening to do for a lonnnggggg time. Control over the ADFA (Apple’s Device Identifier for Advertisers) and other app tracking tools designed for marketing are being given directly to the users. What Apple decides to do when it comes to privacy and marketing tools greatly impacts the entire industry. Why? For one thing, 45.2% of smartphones users in the United States have an iPhone. Another reason is that they have marketed themselves as the company that is going to stand up for its user’s privacy and control, even if that means going against Facebook. Or the Government.
The big question is though… what does it mean for you? As a user and as an advertiser?
What are they actually doing?
With the new update scheduled to go out this week, Apple is introducing a feature called “App Tracking Transparency.” What does it do? Well… it makes advertiser tracking between apps more transparent to users. Apple has made the ability to see (and change) what apps are tracking what for years, the difference now is that instead it being buried deep in settings, a pop-up window will show up on every app that tracks something or collects any data. This pop up (like the one for sharing location) will allow users to control what personal data each app has access to as well what other apps it can connect to.
What information are apps collecting/what are they collecting? Apps (and websites) can collect a surprising amount of information that users haven’t directly given them. Some apps track your physical location. They can use this information to serve you targeted ads based on where you are in the physical world. Knowing your physical location can also give you better recommendations on things “near you,” whether that be pizza for lunch or the weather forecast.
Apps also can have tracking pixels built in. These pixels can track your movement form one app or website to another. This is how you can get an ad for something you just looked at on Amazon. Amazon has a tracking pixel built into their website, they in turn take the information the pixel has collected about visitors to target them on other websites and apps.
What choice do users have now?
In the popup window, users will now be given the choice: “Allow” and “Ask app not to track.” In the past Apple has let you decide which specific elements you would allow, like only location sharing or only ADFA tracking. However, this feature appears to be all or nothing. If you “Allow” then you are giving complete access.
What happens when you say no to tracking? Apple stops giving the app access to your ADFA, stopping it from learning about you from other apps. It also tells apps that you really would rather they didn’t track or share your information in any other ways.
Why should you allow tracking?
Personalized ads are one part of the puzzle when it comes to be tracked online. As we’ve talked about in the past, personalized ads are very effective. Younger generation that have grown up online don’t tolerate non-personalized ads very well. We are constantly inundated with content and advertising, so it is easy to completely zone out advertising (in any form) that is something you are not directly interested in. Also, many consumers now have in innate understanding of how their personal data is used to create targeted ads. Being targeted (or retargeted) based on their interests and past activities are expected. Recently surveyed consumers between the ages of 18-34, 58% said that a personalized ad helped them make a purchase decision. 42% also said that they had clicked on a sponsored ad in the last 6 months!
For a lot of us, the privacy concerns pale in comparison to function and usability of an app. A TapResearch poll conducted in August 2020 shows that 23% of iOS users are likely to opt in to sharing data with apps that request it. Another 21% of consumers are neutral on the subject, suggesting they will not opt out. Recent eMarketer research shows that 75% of consumers are willing to share their location if it enables a mobile service or saves them money. Which highlights how many users feel about personalized advertising: getting a coupon or an ad for something you were probably going to buy anyway is not a bad thing.
The Facebook Controversy
Facebook has been by far the most outspoken opponent of AppTrackingTransparency, going so far as to take-out full-page ads in newspapers and other print publications. Facebook says that AppTrackingTransparency will hurt small businesses’ ability to advertise to those in their community and Apple shouldn’t be able to make “unilateral decisions without consulting the industry about a policy that will have far-reaching harm on businesses of all sizes.”
Apple shouldn’t make “unilateral decisions without consulting the industry about a policy that will have far-reaching harm on businesses of all sizes.”Facebook
Time will tell if these changes pull advertisers more into Facebook marketing, but one thing is for sure, they have already impacted Facebooks. We were sent this by Facebook this week: “Apple released changes with iOS 14 that impacts how we receive and process events from tools like the Facebook SDK and the Facebook pixel. See updates on how these changes affect your ad account and see tasks that can help you reach your audience.” So far, the only thing we’ve seen impacted on Facebook is size audiences available. That is expected to level out though, in coming months as people re-opt-in to app tracking.
What are advertisers doing about it?
Many apps already have another type of pixel technology built into them called “Fingerprinting.” Fingerprinting has been developed recently to combat this end of cookie era. Fingerprinting works by collecting seemingly unimportant data from your device such as screen resolution, phone model, and current operating system, and combining it into a way of recognizing your unique device. Much like actual finger printing, fingerprints match to fingerprint, not a name, address, phone number etc. This allows advertisers to target you with ads without knowing who you actually are, thus getting around any data privacy issues.
There are many tools becoming available that do similar things. Tools like Household Level Identifiers that don’t target specific people. Apple hasgiven advertisers time to come up with solutions, many of which probably haven’t been released yet!
So, what do you think? Do the advantages of AppTracking outweigh the privacy costs? Are you going to allow AppTracking?
The Data You Need to Market To Those Under 25
Do you ever read a statistic that just messes with your head? For example, I recently read that by 2022, 41% of the world’s population will be under 25. Which is crazy!! And creates an interesting marketing challenge. How can you effectively market to a generation who has grown up online and is constantly inundated with content and advertising?
People under 25 not only take up a large share of the world’s population but they also make up a disproportionate amount of online and social media users. However, those of us in this age group statistically have shorter attention spans and tend to make decisive decisions about whether or not to consumer content or ads. A study in 2019 found that 64% of 18-24 tune out content from cluttered environments. Leading to 46% of advertisers saying that they have issues getting their content to stand out! Also, a third of advertisers say that it’s a challenge to find effective ad placement sin all the online clutter. What can you do to cut through all the online noise and reach this massive market?
#1 – Find Shared Passions
The sheer amount of product, companies, and information available is staggering. It is not enough anymore to have a good product available anymore, your brand ideals and personality need to match with the personality of your consumers. 56% of Gen Z consumers say that having shared passions and perspectives is a major factor when it comes to their engagement with a brand. However, Gen Z’ers are fantastic at sniffing out inauthenticity. Your brand personality and ideals need to actually be what you say they are. Actions speak louder than words!
What are the advantages of having a well-defined brand personality and ideals? Giving your company a personality makes things like content creation a lot easier. Knowing who you are also can help you make decisions about the direction you want to go in the future.
And 49% of young consumers say they will evangelize a brand they feel represents their values, likes, and personality.
Don’t be afraid of incorporating causes you care about into your brands personality! 72% of consumers want the brands they care about to be positive contributors to society. We’ve seen in recent years that many brands (especially smaller companies) connect their core brand to a charity or cause they care about. Younger consumers are 69% more likely to buy from a brand that contributes to a cause.
#2 – Choose Quality Locations
Younger generations are big on authenticity, brand trust, and quality. 74% of 18–24-year-olds believe that brands are responsible for where their ads are shown. Which is true! There’s very little excuse for having your ad show up on a website that doesn’t believe in the same things as you. Programmatic advertising and digital display ads give you a lot of control over your ad placement. Nearly 40% of advertisers have faced some backlash for having ads appear near low quality content. 54% of younger consumers say that ads placed near premium content inspires more trust in the ad itself!
#3 – Use Innovative Technology
From AI and AR driven content to native and contextual ads, technologically advanced are advertisements are becoming more accessible. The stats on their effectiveness across the entire marketing journey speak for themselves!
Of the 18–34-year-old’s interviewed:
63% pay more attention to advertisements with innovative formats
70% will consider a brand more if they associate them with innovative and immersive formats
71% say innovate ad formats are more engaging
62% feel like innovative ads formats tell them more about the product or service
63% are more inclined to purchase from brands that create content with innovative tech
#4 – Personalization
Personalized ads are effective for every age group. Gen Z’ers and Millennials are less tolerant of ads that aren’t personalized. Most younger consumers have in innate understanding of how their personal data is used to create targeted ads. Being targeted (or retargeted) based on their interests and past activities are expected. Thankfully creating effective personalized ads are easier than ever to make.
- What can you do to create effective personalized ads? Start with the information you have about your customers. It’s difficult to know what your customers want if you don’t know who they are. Look at your 1st party data. What are your most common demographics? What are their interests? How would they most like to be communicated with?
- Use the tools available. Marketing automation platforms and CRMs can do a lot of the heavy lifting when it comes to segmenting data. Many of them are designed to help create simple, personalized messages.
- Have a well thought out plan. Do you have a mapped-out customer journey? Knowing where in their journey your customers are makes a big difference in the types of personalization that will work for them. Think about nurturing. Pay attention to the details. Make sure that there aren’t little annoying things such as, getting an abandoned cart email even though you’ve already come back to purchase it. Get rid of triggers that are connected to repurchasing products commonly only purchased once.
- Know when to walk away. Keep your data clean. If someone has never opened an email it might be a good idea to take them off your list. Their data could skew your demographics and could make understanding what personalization your active customers need difficult.
Is it effective?
Is it effective? Yes! From that survey of consumer between the ages of 18-34, 58% said that a personalized ad helped them make a purchase decision. 42% also said that they had clicked on a sponsored ad in the last 6 months!
In my experience, a lot of companies panic when thinking about marketing to young consumers. They feel like they need to be relatable or “cool.” That often comes off as disingenuous and is easy to see right through. It’s far more effective to instead focus on building a relationship with them. Make it easier for them to see who you are and what you stand for. Chances are they care about the same things you do!
Let’s Talk First Party Data
We talk about First Party Data a lot. What it is?
First party data is data that your company has collected directly from your audience which is made up of customers, site visitors, and social media followers. “First party” refers to the party that collected the data firsthand.
First Party Data is collected from the people you have the most to learn from: your current customers! That makes the data as reliable as possible.
How can you collect first party data?
You can attain first party data from your CRM, surveys and subscription-based emails or products. This is also where Google and Social Media Analytics are important.
Google Analytics has a massive list of capabilities and ways to track website data. Using tracking code, Analytics collects information about the way the website was used.
- Time of visit
- Pages viewed
- The time spent on each page
- What browser and OS are being used
- Referring site details
- Network location and IP address.
This information can help you see where (and how) traffic is following to and through your website. Google Analytics also has a lot of other tools such as URL Builder that make it easier to track customer data.
Social media analytics are helpful for flushing out the demographics are your most engaged customers. What can you learn about customer from social media? Here’s are some things you can learn:
- What platforms your customers prefer to engage on
- What content do your customers enjoy most
- What type of campaign or advertising works for them?
- Do they have any other hobbies or interests?
- More specific customer demographics, such as age or gender
It’s also super important to connect as many touch points to your customers as possible. The more ways you have to interact with the customer the more likely they are to become a repeat loyal customer. Think about the companies you follow on social media. Have you bought from them? More than once? Are you loyal to them? Do you agree with their mission and goals? Following companies on social media feels like a personal one-on-one connection and generates loyalty.
Organization is Key
The next step of having/using first party data is organization. Having important information about your customers and leads doesn’t do much good if you can’t find it or if it’s connected properly. No matter what size your business is, having a CRM is key. The days of using a Rolodex are long gone. Now there a lot more channels of data to connect to a contact.
For example, in our CRM we keep track of more than just name, company, phone, and email. Our CRM keeps track of what social media we are connected on and any times the contact has engaged with us. We have it set up so that the CRM assigns a number value to actions a contact or lead can take, such as opening emails, clicking links, liking a post, and any orders.
How does all that information benefit us?
There are many ways! For one, we can use the information we have to target or retarget contacts, leads, and prospects. We can try different channels and types of touches until we find which one they respond best to. Having more than one channel connected to each contact makes multichannel campaigns possible.
The other advantage to First Party Data is that you can collect data and analytics about your customers from the channels you are using to constantly to learn more about your demographics and your customer’s buying habits. The more channels you use the easier it will be to learn about your customer. Then the more customers you have the more information you can learn about your potential target audience. You can use a Look-A-Like to build a list of potentials you can target based on information on your current customers.
What ways do use First Party Data?
Here’s how First Party Data might the key to the future cookie-less world.
Is Google Analytics Overwhelming?
Do google analytics seem a little overwhelming to you? You are not alone. Google Analytics is notoriously complicated. Even for those of us who love data analytics, it can be hard to know where to start. So, what’s the deal with Google Analytics and how can you make it work for you?
Google Analytics was originally Urchin, a company founded in 1998. Urchin worked by analyzing web server log files and displaying the traffic information from that website. Google acquired Urchin and 2005 and rebranded it “Analytics.”
15 years in, Google Analytics has a massive list of capabilities and can be overwhelming to use. But simply put, it tracks website data. Using tracking code, analytics collects information about the way the website was used. Such as, time of visit, pages viewed, the time spent on each page, what browser and OS are being used, referring site details, and network location and IP address. It has tons of options for customization to give the exact data you are looking for.
What ways could you use Google Analytics to maximize your website’s efficiently?
What is it about digital marketing that chaps our hide?
My colleagues and I are in the marketing business, so when we are browsing the web, we understand the marketing and advertising we encounter. We know how it was created, and how it gets delivered to us on our screens and in our searches. But, at the end of the day—well all day actually—we are consumers just like you, and sometimes the pervasiveness and invasiveness of these ads are at a minimum annoying, and sometimes a bit anger-inducing.
So much so, that some of us do everything we can to block them by installing ad-blocker extensions to our browsers, and turning on every privacy and security options we have on our phones. Sometimes, we just defiantly refuse to even glance at them.
Although embracing these anti-ad measures offer us brief reprieve, doing so hides us from the goods and services that we need or want to know about. We essentially disconnect ourselves from the businesses and providers that we have good relationships with. Let’s simply define the issue as a communication strain between provider and consumer—a continual and dynamic struggle for comfortable digital conversation.
There are as many solutions to the struggle as there are providers and consumers. We all have a threshold of comfort that is unique to us as individuals.
Tell us what chaps your hide! We’ll continue to find zones of comfortable digital conversation so providers and consumers can stay connected.