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A PPC Tutorial (with a Slice of Mardi Gras King Cake)



Sometimes I sit down to write a serious blog about marketing. More often than not my blogs are about pay-per-click (PPC) and all the things you should know about it. However, this isn’t the right time of year for a serious blog, at least not if you live in New Orleans. It’s Mardi Gras time!

All I really want to do is write about King Cake, super Krewes, and fancy balls, but I have people to answer to so I’ll make this somewhat educational. Let’s build a Google Ads campaign together for a Mardi Gras Krewe that I love, Orpheus. This partial tutorial will be your chance to follow my thought process as we build the campaign.

Gathering The PPC Basics

First up, we need to know who we are marketing to. Without this knowledge, it’s impossible to begin. This one is fairly easy, we want to show our ads to people looking to see a parade and learn more about the Krewe of Orpheus. We will also need to set a goal so we can judge our success. Let’s say our goal is to get as many people to the parade as possible. Sure, that’s not a thing we can easily count but for the sake of this blog, it will work just fine.

Now that we have a goal and a rough idea of who our target audience is, let’s see what our budget looks like… I’ll be restricting us to $30 a day which is not a lot. Sorry, but I’m the type of person who plays video games set on the highest difficulty. If we made this super easy, what would be the point?

Alright, we are set.

The First Set of PPC Decisions

Now that we know the who, why, and what our budget is we can start to make some PPC decisions. The first big decision here is our structure. We have a very limited budget so we want to make sure we don’t build too big and stretch our funds too thin. My suggestion is that we run a single campaign. There are different reasons you might create a campaign, more often than not my campaigns exist to serve a specified region.

Let’s create our campaign and title it “Gulf Coast & Louisiana 2020.” In our campaign settings we will add some targeted locations to match the name of our campaign. Let’s see where that would put us:

Google Ads:

Campaign: Gulf Coast & Louisiana 2020

Targeting: Louisiana, USA; Gulf Port, Mississippi; Biloxi, Mississippi; Gulf Shores, Alabama.

This is a solid start. We have the base of a simple one campaign structure. There are some additional campaign settings we can start to mess with but we will double back to them later. Let’s continue.

What To Do About Ad Groups & Keywords

With the campaign built we can turn our attention to the ad groups. If the campaign is the trunk of a tree, the ad groups are the branches. Another way to look at it is that if the campaign tells us where we can run our ads, the ad groups tell us what our ads will be about (this is true for this example but not all cases).

Let’s start to look ahead to our keywords. Yes, we won’t have anywhere to place them until we have our ad groups, but if we have a general idea of what our keywords are we will know how many ad groups we need. In a lot of ways, this is a chicken or the egg situation.

My approach to this is fairly simple. I have the luxury of working with our SEO team and often times keyword research is done before I ever touch an account. I like to look over the research and pick 3-5 primary keywords that each have 4-10 keywords related to them. Those primary keywords become my ad groups.

I understand this is confusing so think of it this way:

Primary Keyword: Mardi Gras Parade

Related Keywords: Mardi Gras Parade King, Where to see a Mardi Gras Parade, How long is a Mardi Gras parade, how many Mardi Gras parades are there, etc…

Primary Keyword: Krewe of Orpheus

Related Keywords: When is Orpheus, how many floats are in Orpheus, Harry Connick Jr founded Orpheus, celebrities in Orpheus, the history of the Orpheus krewe, etc…

Hopefully, it’s starting to make sense. Ideally, there are 3 to 5 of these that we can build each ad group around. Taking these keywords and creating the ad groups is fairly simple. Here is how I would do that using the same examples from before:

Ad Group #1: Mardi Gras Parade

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Keywords for Ad Group #1: Mardi Gras Parade, Mardi Gras Parade King, Where to see a Mardi Gras Parade, How long is a Mardi Gras parade, how many Mardi Gras parades are there, etc…

Ad Group #2: Krewe of Orpheus

Keywords for Ad Group #2: Krewe of Orpheus, When is Orpheus, how many floats are in Orpheus, Harry Connick Jr founded Orpheus, celebrities in Orpheus, the history of the Orpheus krewe, etc…

You should be able to see what I did here. I took the primary keyword and created an ad group around it, I then put each of those related keywords in that ad group including the primary keyword. So, in this case, the primary keyword is both the name of an ad group and a keyword within that ad group. Feel free to take a minute to process this.

Now would be a good time to review your keyword match types. I’m doing my best to prevent this from becoming a novel so for more information on your keyword matching options check this out.

The Actual Ads

Let’s recap, we now have a campaign with ad groups under it. Each of those ad groups has a list of keywords within them.

The last step (for the sake of this blog) is the creation of the ads. Yes, there are different ad types and some of the newer ones, like the responsive ad, deserve your attention but for today we are sticking with expanded text ads.

For this example let’s build an eye-catching ad that we will run in our first ad group. To begin, we need three headlines that will both grab someone’s attention and convey a quick message.

Headline 1: Huge Mardi Gras Parade

Headline 2: See The Krewe Of Orpheus

Headline 3: Learn More

Take note of my use of a keyword variation in the headlines. Chances are someone who is searching for Mardi Gras Parade info will see a headline like that with a keyword they used in their search and they will want to learn more.

So, now we can come up with two descriptions that will appear with this ad. These will be longer than the headlines and will tell a potential parade goer just enough to get them to click on your ad. We need two of these:

Description 1: The Krewe Of Orpheus Is The Mardi Gras Parade You Won’t Want To Miss.

Description 2: Come See Harry Connick Jr And Friends At This Year’s Parade. February 24, 2020.

I made sure to include a keyword or two in the description as well but I didn’t go overboard.

At this point, it is safe to say we have an ad on our hands. Let’s see how it all stacks up:

Campaign: Gulf Coast & Louisiana 2020

Ad Group: Mardi Gras Parade


Huge Mardi Gras Parade | See The Krewe Of Orpheus Live | Learn More

The Krewe Of Orpheus Is The Mardi Gras Parade You Won’t Want To Miss. Come See Harry Conick Jr And Friends At This Year’s Parade. February 24, 2020.

Not too bad.

The Best Of The Rest

There was no way that I could cover everything. So what did we miss?

  • Keyword Match Types
  • Campaign Bid Strategies
  • Audiences & Targeting
  • Ad Extensions
  • Ad Schedules
  • Google Search Partner Networks
  • and more!

While not everything could be covered in this one blog you should have enough to begin to build your first campaign OR you can just do some Google searches on Mardi Gras and get yourself a King Cake sent your way.

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What can ChatGPT do?



ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster



Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”


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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.


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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.


Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

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Survey says: Amazon, Google more trusted with your personal data than Apple is




MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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