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#Incognito Traffic with AI
techlaunchreviews · 1 year
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mahamid110 · 11 months
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👉 Newsletter Linchpin AI Review - 💚 Incognito Traffic With AI + Bonuses
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Why Am I Sharing This?
Now, you might be wondering, "Why would he share this secret formula? What's in it for him?" Fair question.
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The Proof Is In The Pudding
I've used this formula to turn Facebook friends into $10,000... without spending a single penny on ads.
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And the best part?
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What This Isn't
Before we go any further, let's get one thing straight.
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This is a proven, battle-tested formula that has the power to transform your business and your life.
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The Big Lie You've Been Told
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But what if I told you that you could bypass the ad spend, skip the middleman, and go straight to the source?
What if I told you that your Facebook friends list is a goldmine waiting to be tapped?
The Secret Sauce
I can't reveal the secret sauce here.
That would be like giving away the Colonel's 11 herbs and spices.
But what I can tell you is that this formula involves a unique approach to Facebook that you've never seen before.
It's a method so powerful that it can turn even the most skeptical prospects into eager buyers.
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What You'll Get
Again, I can't go into specifics. But I can promise you that you'll get insider knowledge that's not available anywhere else.
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The Risk Is On Me
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No questions asked.
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Bonuses
Bonus - 1
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superbbeardarbiter · 1 year
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Incognito Traffic with AI-Review
Incognito Traffic With AI Review - What Is Incognito Traffic? "Incognito traffic" typically refers to web traffic generated by users who are browsing in incognito or private mode on their web browsers. In incognito mode, the browser does not store cookies, browsing history, or other information, making it more difficult for websites to track user behavior. However, it's essential to clarify that incognito mode does not affect how AI-generated content, such as the article "How I Turned Facebook Friends into $10,000… Without Spending a Penny on Ads!" is created or processed.
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AI-generated content, like the article above, is generated based on input and instructions provided by users or developers. It does not have the capability to track or influence the behavior of users browsing in incognito mode or any other mode. AI-generated content is static text created for informational or creative purposes and does not have the functionality to interact with web users or affect web traffic.
If you have any specific questions or requests related to AI-generated content or incognito mode, please feel free to provide more details, and I'll be happy to assist you further.
Incognito Traffic with AI Review – What Does It Do Incognito traffic refers to the web traffic generated by users who are using their web browsers in incognito or private mode. When users browse the internet in incognito mode, their browser operates differently from the regular browsing mode. Here's what incognito mode typically does:
No Browsing History: Websites visited in incognito mode are not saved in the browser's history. This means that after the user closes the incognito window, there is no record of the websites they visited.
No Cookies: Cookies are small pieces of data that websites store on a user's computer to track their activity and preferences. In incognito mode, cookies are not saved between sessions, which can make it more challenging for websites to track user behavior.
No Cached Data: Browsing in incognito mode does not store cached files and images on the user's computer. This can improve privacy but may result in slightly slower page loading times.
No Autofill Information: In regular browsing mode, browsers often save information like usernames and passwords. In incognito mode, this information is not stored.
Private Search: Search engines used in incognito mode may not save search history or personalize search results based on past searches.
No Session Data: Websites may not remember users who visit in incognito mode once the session is closed. This can affect login status and personalization features on websites.
It's important to note that while incognito mode enhances privacy by not storing local data, it does not make users completely anonymous online. Internet service providers and websites can still track users to some extent, and incognito mode does not provide protection against all forms of online tracking. Incognito mode is commonly used by individuals who want to browse the internet without leaving a trace of their online activity on their local device. It's often used for private browsing, online shopping, or accessing websites without affecting one's regular browsing history or stored data.
Conclusion: Incognito traffic is a valuable tool for those seeking enhanced privacy and temporary browsing sessions. It offers a level of anonymity by not storing local data, including browsing history and cookies. However, it's crucial to remember that incognito mode does not provide complete anonymity, as internet service providers and websites can still track user activity to some extent.
In summary, incognito traffic is a tool that can enhance your privacy while browsing the internet, but it should be used responsibly and in conjunction with other legitimate online strategies. Understanding its limitations and purpose is essential for making the most of this feature.
Click Here To Get Incognito Traffic With AI>>
Thanks.
Dulal
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mdabutaleb · 1 year
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Incognito Traffic with AI Review
The Incognito Traffic Formula with Al comes with a money-back guarantee because it’s not just another content-filled course. It’s a battle-tested, proven formula that can transform your business and life. It’s designed for serious entrepreneurs ready to take action.
This masterclass is ideal for those frustrated with empty promises and endless ad spending cycles. It’s for anyone seeking a change from the status quo, whether you’re an experienced marketer or a total newbie. With this formula, you’ll have the tools for success.
You’ll receive expert guidance from someone who’s been through the trenches and emerged successfully. The Incognito Traffic Formula with Al review provides you with a clear blueprint for immediate implementation. Enroll in the masterclass, and if you don’t see results within 14 days, you’ll receive a full refund.
As a bonus in the Incognito Traffic Formula with Al upsell, you’ll learn how to create compelling Lead Magnets that people eagerly share their emails for, discover the process of bulk creating YouTube Shorts using ChatGPT & Canva, grasp the 6 Fundamental Rules for crafting YouTube scripts with ChatGPT, and become a master of ChatGPT YouTube Titles. Plus, for a limited time, you’ll receive an All-In-One Marketing Platform as a super bonus.
Get Full Review Here >>>
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spillwordblog · 2 years
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5 Ways to Fix Chat GPT is at Capacity Right Now Error
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ChatGPT is a chatbot that was launched on November 30, 2022, and has quickly become a revolutionary tool. It uses machine learning to provide automatic answers to user questions and requests. While many users are impressed with its advanced and conversational capabilities and eager to try it out, some users encounter the "ChatGPT is at capacity right now" error when attempting to use it. This post offers five easy solutions to resolve the frustrating error, which users can refer to for assistance.
What does the "ChatGPT is at capacity right now" error mean?
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The "ChatGPT is at capacity right now" error is an error message that appears when trying to access the AI chat service, ChatGPT. This error message indicates that the language model is unable to process incoming requests due to a high volume of traffic. This issue usually occurs during times of peak usage when numerous users are trying to access the service simultaneously.
How to fix ChatGPT is at capacity issue?
Let's look at the five popular methods to fix ChatGPT is at capacity issue. 1. Wait for a while One easy way to resolve the "ChatGPT is at capacity right now" error is to wait for some time before trying again. This solution is effective when there is no urgency for an immediate response. Since high traffic is the primary cause of this error, it is recommended to wait for around fifteen to thirty minutes before trying again. Alternatively, you can opt to receive an email notification by clicking on the "Get notified when we're back" link, so you do not have to keep checking manually. 2. Use a VPN One potential solution for bypassing the "at capacity" error message is to use a virtual private network (VPN). This technique involves connecting to a different server location through the VPN, which may have less traffic and fewer users. By doing so, you may be able to access the ChatGPT service without encountering the "at capacity" error message. 3. Try a Different ChatGPT account If you have access to multiple ChatGPT accounts, a possible solution is to switch to a different account to see if it resolves the issue. By trying different accounts, you may be able to access the ChatGPT service without encountering the "at capacity" error message. 4. Try these trick These tricks include refreshing the page, using ChatGPT in incognito mode, clearing your browser's cache, and restarting your computer. Refreshing the page will prompt the browser to send a new request for the page from the server, while using ChatGPT in incognito mode can help bypass any browser-related issues. Clearing your browser's cache can also help solve the error message, and restarting your computer or device may also be a helpful trick to fix the problem. 5. Use SpillWord Spillword.comis an AI-powered copywriting tool that uses machine learning to generate high-quality and engaging content for businesses and individuals. With SpillWord, users can create various types of content, such as social media posts, product descriptions, landing pages, and ad copy, among others. The tool provides users with a user-friendly interface and a wide range of features, including language support for multiple languages, customizable tone and style, and the ability to generate content in various formats. SpillWord aims to save time and effort for those who need to generate large volumes of content regularly, making it a valuable tool for content creators and marketers alike. Copyright © 2023 SpillWord, Inc. All rights reserved.  Read the full article
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complianceg · 3 years
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What is the FDA’s approach to regulating AI/ML in SaMD (software as a medical device)?
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As the quote goes, “Necessity is the mother of invention.” Ironically, we don’t know who invented that quote. It became an amalgam of people from Plato to a 19th-century theologian.
According to the FDA’s site, their first Medical Device approved was in 1976 through their CDHR division (Center for Devices and Radiological Health) per their 21CFR Parts 800-1299. As we know, medical devices fall into three categories, from low risk to high risk: Class I, II, and III
Per the Int’l Med Device Regulators Forum (IMDRF), the need for regulating SaMD, this new form of med device, came about as long ago as 2013, again through an amalgam of regulated elements within the med device world.
“SaMD” even reaches as far back as the 60s with Lockheed’s consideration of getting the first computerized information-handling system in the hospital sphere.
And do we know who the first company was to be approved by the FDA as a SaMD? I’m sure there was a hybrid that led up to that, and my guess is it’s archived somewhere, but my research didn’t come up with a specific name, but rather several SaMD firsts:
• Pacemakers • X-rays and MRIs • Bedside monitors • Urine analyzers • Glucometers • Spirometers
The FDA had a tall order to decipher regulatory compliance with this new hybrid. And companies in the SaMD space had to figure out how to manage regulatory affairs per the FDA.
Thanks to SaMD and other inventions, Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in nearly everything we do now. Are Alexa, OK Google, and Siri listening and learning? Absolutely. Is their AI helping us with more targeted options for buying, listening, and purchasing… even routing us to avoid traffic? Definitely. Conversely, have you ever looked up airfare, car rentals, and hotels, only to find out after your third or fourth search that the prices went up for some reason…on the same day? Hmmm. What changed that? Supply and demand…AI/ML interpreted your multiple searches (and others) as increased demand, so they bump up the price a bit more or a lot more. This “encourages” you to buy quicker. Maybe using Incognito or an anonymous site helps? What are your thoughts?
Would SaMD do the same? Not unless the developing company wanted to violate HIPAA compliance and all kinds of regulatory violations.
For some guidance, per Deloitte, here are some Is and Is Not examples:
 What is and is not SaMD?
 SaMD
Software that can determine the  proper drug dose for a patient, given personalized patient data
Software that can detect and  diagnose a stroke by analyzing MRI images
Software that can track the size of  a mole over time and determine the risk of melanoma
Software that draws on data from  other digital devices to determine risk factors associated with epileptic  seizures
Not SaMD
Software that operates a pacemaker
Software that drives or controls an  infusion pump’s motors
Electronic health record systems
Software in the machines that  assemble medical devices
In one of my previous blogs, I mentioned that Apple, which started in 1976, hit it big with its desktops, but even bigger more significant with their iPhone innovation. That iPhone, coupled with the right software, became one of the forefront integrators of SaMD. Suddenly, eyes were opened to a world of information, whether on our wrist or transported electronically to the doctor. Abruptly, our eyes opened to a universe of data, accessible on our wrist and to be shipped electronically to our primary care physician.
Thanks to necessity, we can live healthier and longer and invent more!
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swapna8-blog · 5 years
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Top 12 Best Artificial Intelligence Apps for Android & iOS
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Artificial Intelligence Services is one of the most popular advances in science and technology. This demonstrates the use of human-level intelligence and accuracy for machines. In other words, machines that learn to think and behave like humans. Machines and applications of artificial intelligence have provided tremendous benefits to humans, helping to provide an easier and more accurate way to complete tasks. These machines do not experience emotional challenges that encourage human error and they are not biased in their judgment, they are also not tired.
 Artificial intelligence applications have been used in almost every field that exists; from tourism to business, from holidays to health. Whatever field you have in mind, there is an artificial intelligence application that can help simplify work. Below are 12 artificial intelligence applications that can be used on Android devices;
 1. Cortana:
Cortana is a popular personal assistant application developed by Microsoft. It has amazing features that help you easily track important files, images, videos and more from your device. You can easily synchronize your PC and smartphone to get notifications on your device. You can easily set reminders on your PC to get files and it will remind you of your smartphone. This is a good artificial intelligence application where you can easily get artists, sports, TV shows, serials and more on your smartphone.
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 2. Google Allo:
Google Allo is a messaging application that allows users to act as an Android phone via voice. It can also be used as a voice to text application on an Android device. Users can also simply express their emotions and feelings using emojis and stickers. Users can use this application to hide their search history through incognito mode. This is suitable for people who are very tired or lazy but still want to continue working. The Smart Reply feature of the application studies user behavior and gives suggestions to text and photos based on typical user replies.
Have a look at - AI Companies in Ahmedabad
 3. Hound:
Hound is a smart artificial Android application that works similar to Google Voice Search. You can activate Hound without tapping the screen, all you have to do is say "Okay Hound". Hound can be used for various activities. This can be used to search for keywords on the internet, find out the current weather or weather forecast, find the nearest food restaurant, order an Uber ride or make a calculation. Hire an Android application developer if you need an application like Hound.
Have a look at - Artificial Intelligence companies in Ahmedabad
4. ELSA:
For those who want to improve their English language skills, hire an Android application developer to help you develop applications such as ELSA. ELSA (English Speaking Assistant) is one of the most popular Android artificial intelligence applications for learning English. Users will be able to learn English and improve their pronunciation in less than 4 weeks using the application. The application also has a test developed by experts who can help users track their learning progress and get full daily progress reports.
Have a look at - list of artificial intelligence companies in Ahmedabad
 5. Robin:
This is yet another voice assistant artificial intelligence application for Android users. This can help users compose text messages without the need to enter text. It can also help you get GPS navigation and rest for all the work you need to do. Robin can be used to get traffic status, Twitter news, weather forecasts or even to find a parking space. It is an excellent application for people who drive and do not want to leave the road of the eyes. If you like to do a task while driving and you do not want to leave the road of the eyes, you must engage an Android application developer to develop an application such as Robin.
Have a look at - best artificial intelligence companies in Ahmedabad
 6. Recent News:
Recent News is an artificial intelligence news aggregation application used on Android devices. Its algorithm studies users' reading habits. Using your reading habits, past behavior, and interests, the app will keep users informed of the latest articles, news, and other relevant information. It helps users stay informed and up-to-date on topics they find interesting. It allows users to tag articles and later export them to other devices so you can read them later.
Have a look at - Artificial Intelligence company in Ahmedabad
 7. Siftr Magic:
In this smartphone world, people have fallen deeply in love with the photo, so that they take several pictures each day. Some of these photos will never be returned or needed. The images taken by smartphones are usually bulky and therefore occupy a lot of space. Siftr Magic is an artificial intelligence application available on Android that can detect unwanted photos on your smartphone. The application uses machine learning to find photos that, in his opinion, are not so important to users. The application does not delete photos; it only suggests images that it considers irrelevant to the user. If you run out of space on your Android device because of your photos, you need to hire an Android app developer to help develop an app like Siftr Magic.
Have a look at - Artificial Intelligence Development Company in Ahmedabad
8. Socratic:
Mathematics has also been a challenge for many people. Socratic is one of the most popular artificial intelligence Android apps that can help you do your math homework. It can help users to do their math homework very quickly. Just take a picture of the work done with the camera app. It will provide you with relevant concepts that you can adopt to solve the problem at the right time. Hire an Android application developer to help develop an app like Socratic for increased efficiency of math homework.
Have a look at - artificial intelligence development companies Ahmedabad
 9. Replika:
This is called the best friend app. Replika is one of the most popular and advanced artificial intelligence applications. Originally developed for iPhones, it is now available on Android devices. The app can have a conversation with its users, just like a real human. His conversation does not seem to be automated. The application can set the user's preferences. Therefore, his conversation, which can begin as a generic, begins to be more specific and personalized. Replies will develop a friendship similar to any real relationship. Hire an Android application developer to help you develop an app for best friend.
Have look at - ai development companies Ahmedabad
10. Edison Assistant:
Also known as an easy-to-use wizard, this smart Android artificial application can be used to track traffic status before leaving home to work. The app will also suggest a less stressful and shorter route, wherever you are and wherever you go. In addition to facilitating traffic, Edison Assistant can also help remove multiple phone contacts and in booking tickets for hotels, movies, events, etc.
Have a look at - list of artificial intelligence companies in Ahmedabad
11. Swift Key keyboard:
This is the most common keyboard application on a smartphone used by both Android and iOS devices. The application allows automatic correction of text and sentences. The app can help users get the correct words on their devices.
12. FaceApp
FaceApp is another popular artificial intelligence application developed by Facebook for Android and iOS users. It helps you to easily transform your images into a beautiful photo. You can easily change your look, sex, hairstyle and more using this app. It has cool filters that help you change your smile easily; add filters for the face and others on a photo. You can also use it as a hairstyle app to change the hairstyle of your photo and create a new one for free.
 Are you looking for the AI Companies in Bangalore for developing Artificial Intelligence Applications? Your search query ends with Fusion Informatics is one of the leading Top Mobile Apps Development Company in Bangalore. The company provides mobile app and ios App Development Bangalore, Mumbai and helps the business owner to reach more customers. The company has years of experience creating applications in the field of mobile app development. Our services are working on Artificial Intelligence, Machine Learning, Blockchain Development Company In India, Data Science, Bots, Cognitive Services, iot development companies in India, and Mobile App Development.
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thelmasirby32 · 5 years
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SEO and SMEs: Q&A with Chris Rodgers, Founder and CEO of Colorado SEO Pros
The year is still new and running an SME in 2020 isn’t getting any easier. While there’s so much that founders, CEOs, and fellow C-suite need to juggle and struggle with, SEO is yet another running goal added to this list. We caught up with Chris Rodgers, Founder and CEO of Colorado SEO Pros to talk about the conundrum of SEO and SMEs, challenges, trends, user behavior, voice search, and lots more – a chat you can not afford to miss.
SEW: 2020 will see or shall we say, “hear” 50% of search queries in “voice” – How should small and local businesses – make themselves more visible on Google?
Chris Rodgers: Voice search is dramatically changing the way people search for information but not necessarily the information they are seeking. A few years back Google introduced the concept of micro-moments. Google defines a micro-moment as “an intent-rich moment when a person turns to a device to act on a need – to know, go, do, or buy”. These needs have not changed, but what we are seeing is that instead of typing search queries into a device, people are increasingly speaking more conversational queries via voice search… and it’s growing very rapidly.
Getting started with a voice search optimization strategy
As a small business, you need to understand the concept of “micro-moments” and identify the specific needs of your customers in order to create great content that matches search intent. So, if you’re a plumber, you are likely aware of the top questions and problems your customers have. Focus on creating content that meets specific customer needs. This content could be informational, commercial, navigational, or transactional. Creating content that matches user intent will increase the chances of ranking in the top-three results, and as a result, being served in voice search answers.
Last June a study was released that dove deep into voice search ranking factors, and there were some interesting findings.
Chris Rodgers spoke about some of the important ones that you need to be aware of as you formulate an approach to voice search optimization:
80% of voice search answers came from the top three organic search results
This means you should continue to focus on ranking in the top three positions of search results, creating high-quality content that matches user intent, and getting relevant and trusted backlinks to your website.
70% of all voice search answers were from a SERP feature, most being rich snippets
You should research and understand SERP features, and create a strategy to be featured in rich snippets and in other features where it makes sense.
A majority of voice search results were from pages that loaded faster than the others
This means you should be paying close attention to page speed. A few tools to help are Google Lighthouse Tools, GT Metrix, and Google Search Console (the GSC tool is still classified as “experimental” by Google).
Three tips to follow for voice search optimization
Take a more fluid and conversational approach to the content being created, avoid awkward keyword stuffing, and focus more on “topics” versus exact keyword usage. Consider adding related keywords that are relevant to your search terms and topic.
Include questions and answers in your content and use PAA (people also ask) from Google search results to identify questions. Another tool for topics/questions is “answer the public.” Consider which questions prompt a rich snippet (position zero) in search results and try to provide a better explanation of that keyword search/topic.
Research types of schema mark-up that can be used on your site and how to implement (there are some WP plugins out there that make it easier). Some types of schema to consider might include local business schema, organizational schema, FAQ schema, Q&A schema, and maybe even review schema. Google has a free structured data testing tool that is useful as well to test your mark-up.
SEW: What do you think were the top challenges for businesses/SMEs in 2019?
Chris Rodgers: Understanding and integrating SEO throughout SME organizations – We often see enterprise organizations with disjointed marketing and operations structure that siloes SEO. This approach limits the success and impact of SEO. We work with some forward-thinking enterprise organizations that are building enterprise SEO strategy across departments. For example, the web development and IT infrastructure group are thinking SEO, but so is the PR group and marketing specialists who influence language, tone, and content strategy.
Communicating the value of SEO and quantifying results for SME stakeholders – While this is true for SEO across most businesses, when we look at small and medium-sized enterprises it is very common. Marketing managers generally have a basic understanding of SEO, but as information goes up to the C-Suite and business owners, much is lost in translation. It is best to focus on a few important SEO KPI’s that are more easily quantified (keyword rankings, organic traffic, landing page organic visits, and conversions). We recommend tracking conversions down to the lead level with sales close data to more effectively calculate and communicate true ROI.
Understanding SEO strategy and processes – Whether we are talking about SME’s, start-ups, or larger enterprise organizations, there is often a fundamental lack of understanding around how SEO works. It is worth doing some research to understand SEO strategy basics and how agencies manage SEO strategy, regardless of whether you are working with an outside vendor or are working with an in-house SEO provider.
SEW: If you were to strongly suggest one platform for small businesses to spend their money and resources on in 2020, which one will it be? – Google SERP, FB, YouTube, Email?
Chris Rodgers: One platform is a poor strategy with too much risk. That being said if I only had one I might choose email marketing (if you have a solid email list). Email can be low cost and high ROI, even though it’s not too sexy and the potential is based on your email list. If you don’t have a well-targeted list, it would definitely be SEO because of the ROI it historically drives.
SEW: You’ve mentioned that you purely practice white hat SEO – What are the most common myths that your clients have had and how have you helped burst them?
Chris Rodgers: There aren’t many SEOs that are 100% white-hat. It’s more of a marketing term used by SEOs. I would not consider us 100% white-hat, because we manage link-building campaigns, which by its very nature is at least partially grey-hat. I guess the biggest myth would be that there are just a handful of factors (or any one “trick”) that make sites rank, and if you use the right strategy you go right to the top (there are hundreds of factors + multiple AI systems).
No one has a buddy at Google that ranks sites. No one person has control over the algorithm, and even more, there are AI systems at play that would likely override any single factor or ­single person’s influence.
SEW: Consumer search habits you can predict for 2020 and how local businesses can make the most of it.
Chris Rodgers: Voice search will grow in 2020, as will the use of smart speakers & home assistants – Use the resources in this article to create a voice optimization strategy to both create new content and optimize current content. Identify the questions your customers have and perform research on Google (incognito) to confirm. If you ask the question in Google and you are seeing SERP features and PAA (people also ask) questions, you’re probably on the right track. Tools like SEMRush and Answer the Public can provide questions as well.
Video will continue to appear more prevalently in search and drive more traffic – If you don’t currently have a video SEO strategy, it might be time to get started. If you weren’t aware, YouTube is owned by Google and by serving more videos in search results, Google can drive organic users back into their paid eco-system. Video is a different content type, but you can use many of the same topics for video. There are however certain video types like “how-to videos” and “product reviews” that can be particularly popular. Do some searches around the video topic you are considering in YouTube, are there tons of results and views? The goal is to increase engagement on your own site by adding video, as well as driving referral traffic directly from YouTube (the second largest search engine).
Rich snippets and other SERP features will continue to grow in search results – Rich snippets and SERP features are an important part of SEO going into 2020. We have more zero-click searches than ever before, so it’s critical to be there. Rich snippets also play a big role in voice search, so research the various schema types that might be relevant for your business and optimize for them. Use Google’s free structured data testing tool to verify your mark up and make sure it’s done properly.
SEW: Could you tell us about some holiday season trends you observed in 2019 – And what would you have done differently for better results?
Chris Rodgers: People are looking for deals, and with how huge Black Friday and Cyber Monday have become, people expect to find them. I have noticed the sales for Black Friday/Cyber Monday have been extended even more this year. There may be opportunities to capitalize on the expectation for sales and deals continuing through the holiday season. Specifically, look to target search around “sales”, “deals”, “doorbusters”, and more such keywords.
SEW: Word of advice for CEOs regarding SEO 2020
Chris Rodgers: 2020 SEO dos – Focus on trying to understand the customer journey for your products and services, define customer roles and personas, and map keywords based on the intent type of first-page ranking web pages. Use Google incognito to perform target searches and note what content types are ranking. If you see informational blogs dominating search results, that tells you those users are more top of the funnel and looking for information. If you see product/service pages ranking, that tells you those users are more bottom of the funnel and are closer to making a purchase decision. This intent is key to solving users’ problems and ranking higher in search results, so create similar content to what is ranking well for your target keywords.
2020 SEO don’ts – Avoid “all-in-one” marketing agencies when it comes to SEO. There really aren’t any general digital marketing companies that lead the way in SEO. They typically rely on other channels like paid search to do the heavy lifting and shy away from the more challenging and complex SEO issues that really matter. SEO is hard, so find someone that specializes if you are looking to be an SEO leader in your space.
SEO timing in 2020 – On a final note, SEO opportunity shifts over time and as more competitors enter a particular industry, the more challenging it becomes. Get serious about SEO sooner than later. Start small if you must, but don’t wait until you need it to begin. It takes a long time to do well, and the best SEO strategies materialize over the long-term, slowly. Going fast with a bigger budget doesn’t work as well as a long-term, well-managed SEO strategy.
Are there any questions or challenges that your SME is facing/overcoming? Feel free to share them in the comments section.
The post SEO and SMEs: Q&A with Chris Rodgers, Founder and CEO of Colorado SEO Pros appeared first on Search Engine Watch.
from Digital Marketing News https://www.searchenginewatch.com/2020/01/20/seo-and-smes-qa-with-chris-rodgers/
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onlinemarketingcourses · 5 years
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How you can use it for SEO Search Engine Watch
Back in September 2018, Google launched its Dataset Search tool, an engine which focuses on delivering results of hard data sources (research, reports, graphs, tables, and others) in a more efficient manner than the one which is currently offered by Google Search.
The service promises to enable easy access to the internet’s treasure trove of data. As Google’s Natasha Noy says,
“Scientists, data journalists, data geeks, or anyone else can find the data required for their work and their stories, or simply to satisfy their intellectual curiosity.”
For SEOs, it certainly has potential as a new research tool for creating our own informative, trustworthy, and useful content. But what of its prospects as a place to be visible, or as a ranking signal itself?
Google Dataset Search: As a research tool
As a writer who has been using Google to search for data since about a decade, I’d agree that finding hard statistics on search engines is not always massively straightforward.
Often, data which isn’t the most recent ranks better than newer research. This makes sense in an SEO sense, that which was published months or years prior has had a long time to earn authority and traffic. But usually I need the freshest stats, and even search results pointing to data on a page that has been published recently doesn’t necessarily mean that the data contained in that page is from that date.
Additionally, big publications (think news sites like the BBC) frequently rank better than the domain where the data was originally published. Again, this is unsurprising in the context of search engines. The BBC et al. have far more traffic, authority, inbound links, and changing content than most research websites, even .gov sites. But that doesn’t mean to say that the user looking for hard data wants to see BBC’s representation of that data.
Another key issue we find when researching hard data on Google concerns access to content. All too regularly, after a bit of browsing in the SERPs I find myself clicking through only to find that the report with the data I need is behind a paywall. How annoying.
On the surface, Google Dataset Search sets out to solve these issues.
A quick search for “daily weather” (Google seems keen to use this kind of .gov data to exemplify the usefulness of the tool) shows how the service differs from a typical search at Google.com.
Results rank down the left-hand side of the page with the rest of the SERP real estate given over to more information about whichever result you have highlighted (position one is default). This description portion of the page includes:
Key URL links to landing pages
Key dates such as the time period the data covers, when the dataset was last updated and/or when it was first published
Who provides the data
The license for the data
Its relevant geolocation
A description of what the data is
By comparison, a search for the same keyphrase on Google in incognito mode prioritizes results for weather forecasts from Accuweather, the BBC, and the Met Office. So to have a search engine which focuses on pure, recorded data, is immediately useful.
Most results (though not all) make it clear to the user as to when the data is from and what the original source is. And by virtue of the source being included in the Dataset Search SERPs, we can be quite sure that a click through to the site will provide us access to the data we need.
Google Dataset Search: As a place to increase your visibility
As detailed on Google’s launch post for the service, Dataset Search is dependent on webmasters marking up their datasets with the Schema.org vocabulary.
Broadly speaking, Schema.org is a standardized way for developers to make information on their websites easy to crawl and understandable by search engines. SEOs might be familiar with the vocabulary if they have marked up their video content or other non-text objects on their sites. For example, whether they have sought to optimize their business for local search.
There are ample guidelines and sources to assist you with dataset markup (Schema.org homepage, Schema.org dataset markup list, Google’s reference on dataset markup, and Google’s webmaster forum are all very useful). I would argue that if you are lucky enough to produce original data, it is absolutely worth considering making it crawlable and accessible for Google.
If you are thinking about it, I’d also argue that it is important to start ranking in Google Dataset Search now. Traffic to the service might not be massive currently, but the competition to start ranking well is only going to get more difficult. The more webmasters and developers see potential in the service, the more it will be used.
Additionally, dataset markup will not only benefit your ranking in Dataset Search it will also increase your visibility for relevant data-centric queries in Google too. An important point as we see tables and stats incorporated more frequently and more intuitively in elements of the SERPs such as the Knowledge Graph.
In short:
Getting the most out of your data is straightforward to do.
The sooner you do, the more likely you are to have a head-start on visibility in Dataset Search before your competitors.
And it is good best-practice for visibility in increasingly data-intuitive everyday search.
Google Dataset Search: As a ranking signal
There is a good reason to believe that being indexed in Dataset Search will be a ranking signal in its own right.
Google Scholar, which indexes scholarly literature such as journals and books has been noted by Google to provide a valuable signal about the importance and prominence of a dataset.
With that in mind, it makes sense to think a dataset that is well-optimized with clear markup and is appearing in Dataset Search would send a strong signal to Google. This would signal that the respective site is a trusted authority as a source of that type of data.
Thoughts for the future
It is early days for Google Dataset Search. But for SEO, the service is already certainly showing its potential.
As a research tool, its usefulness really depends on the community of research houses who are marking up their data for the benefit of the ecosystem. I expect the number of contributors to the service will grow quickly making for a diverse and comprehensive data tool.
I also expect that the SERPs may change considerably. They certainly work better for these kinds of queries than Google’s normal search pages. But I had some bugbears. For example, which URL am I expected to click on if a search result has more than one? Can’t all results have publication dates and the time period the data covers? Could we see images of graphs/tables in the SERPs?
But when it comes to potential as a place for visibility and a ranking signal, if you are a business that collects data and research (or you are thinking about producing this type of content), now is the time to ensure your datasets are marked up with Schema.org to beat your competitors in ranking on Google Dataset Search. This dataset best practice will also stand you in good stead as Google’s main search engine gets increasingly savvy with how it presents the world’s data.
Luke Richards is a writer for Search Engine Watch and ClickZ. You can follow Luke on Twitter at .
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dorothydelgadillo · 6 years
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4 Things Every Keyword Research Strategy Must Include
Keyword research is a tactic that has consistently evolved with search engine algorithm updates, approaches to content creation, search behavior, and user intent.
Successful keyword research strategies incorporate the following:
Objectives & Key Results
Target Audience Behavior
Opportunities & Priorities through Strong Data
Pillar Content & Topic Cluster Approach
I’ll dive into these in a moment, but first, some context.
As the daughter of a journalist, I was always taught that writing was an instrumental way to work through challenges.
Writing allows for a safe space to brainstorm, be vulnerable, validate or invalidate a mindset.
In high school, however, it became a regimented task or a learned skill.
Writing in school is more research-oriented, structured, and graded. Now, working in the field of marketing and technology, we have to be conscious of algorithms, search volume, and competition.
Regardless of the time period, Google search update, or type of writing, one thing continues to underpin the work of great writers… research.
As marketers, we are taught to make data-driven decisions to drive our strategies. This is no different when it comes to keyword research.
Why Is Keyword Research Important?
When we write on digital platforms with the intention of having our work found by search engines, our content is judged first by viewers based on the title and description as they appear in the search engine results pages (SERPs).
Think about it - someone has to actually click on your content in a search engine before they can read your website page, article or other form of content.
What is the best way to ensure that your target audience finds - and clicks through on - your content?
Gone are the days of going with your gut instinct on what content feels right or typing in a variety of terms that pop into your head or that you find via Google Keyword Planner (also known as GKP).
At the end of the day, your content should always be produced with the end user in mind; using the same words they are using to search for answers to their questions and solutions to their problems.
This is why keyword research is so important.
IMPACT’s resident website and inbound strategist, Stacy Willis, explains it best:
“The primary goal of keyword research is to understand how the marketplace is looking for information. Understanding what your audience is looking for, how they are phrasing it, and what other information exists for them is key to determining how you can provide them the most value and that will always be what Google and every other search engine rewards.”
4 Things Every Keyword Research Strategy Must Include
Now that you know why keyword research is important, how do you actually do it?
It's easier said than done, but if you know your business and your audience, you're in a solid place to begin.
1. Establish Objectives & Key Results
Start by taking a look at the big picture. What does success look like to you this year? This quarter?
With this vision in mind, review your current performance using keyword research tools like Google Analytics and SEMrush to get a better understanding of the work that needs to be done.
I recommend that you start by exporting query data into a spreadsheet for easy visualization. Query data can be found by using Google Analytics, Google Search Console, and SEMrush reports to showcase what words (or queries) people are searching for.
There are 9 types of keywords SEOs use when looking to convert website traffic and referring to types of keyword combinations. These keyword types include: short tail, long-tail keywords, short-term (fresh), long-term (evergreen), product defining, customer defining, geo-targeting, LSI (Latent Semantic Indexing), and intent targeting.
The various type of keywords all have their place in a content strategy and should be leveraged based on the objectives and key results that you have set out to achieve. 
These are some of the most common metrics we track when doing keyword research:
Position
Search volume
Cost per click
URL
Traffic (%)
Competition
Often, marketers do not have 100% buy-in from other decision makers within the company when it comes to the objectives and key results they are tracking. What may be important to the marketing team could be less significant to these other stakeholders.
One way to build consensus and reach alignment is to make sure that the metrics you are tracking for keywords will ultimately show a direct impact on the company’s bottom line. That, in my experience, is something that everyone - from the C-Suite to the sales team - can get behind.
2. Target Audience Behavior
Once you have identified the objectives and key results that you’ll be using to determine the effectiveness of your keyword strategy, the next step is to identify topics of interest within the industry or audience segment you are targeting with your content.
A great way to do this is by making a list of the questions that your customers and prospects are actually asking (check out Marcus Sheridan’s BIG 5 article, questions that drive the most traffic, leads, and sales for those smart enough to write about them). Your service and sales team are good resources for brainstorming this information, as they are more than likely already answering these questions on a daily basis.
If you are struggling to come up with these questions, Marcus says it best:
“You’ve lost touch with your ideal customer or client. If this is the case, it’s time to get with your sales team, customer service team, and everyone else, and relearn what your ideal customer wants to know to be able to make an informed buying decision.”
Once you have developed your list of questions, find out where your audience currently goes to get answers. Consider forums, social groups, communities, thought leaders, conferences, and review sites.
Information about where your audience is consuming content can be found through surveying and market research, looking at a source report in Google Analytics, asking your existing clients, as well as using an incognito window to see what search results come up for the keywords you are considering using.
PRO TIP: Use one of my favorite Chrome extensions, “Keywords Everywhere”, to get estimates of search volume, competition, and CPC right in the Google search browser.
Here is a screenshot of the features:
3. Identify Opportunities & Priorities through Strong Data
The next step in your keyword research process is to identify keyword and content opportunities by reviewing your current performance and analyzing the competition.
I look at metrics like current ranking position, search volume, and the competition score in Google Analytics and SEMRush. I document it all in IMPACT’s Keyword Research Template (which you can download and use for yourself).
If you have limited time and resources (like most marketers), focus on the keywords you are close to ranking in the first few positions on the SERPs versus those that are a bigger stretch. This will give you much bigger bang for your buck, along with quicker results.
Here are some guidelines I use to identify the proverbial low hanging fruit when it comes to keyword research:
Already ranking on the first page of the SERPs
High search volume
Low competition score (as a good rule of thumb, look for competition less than .5 or 50%)
Low cost per click (also known as CPC)
Using the criteria above as a guideline, prioritize your list of target keywords..
I like to use color coding for high, medium, and low priority keywords. You can determine the priority of your target keywords based on company goals and the data points I listed above.
I typically start with search volume and competition, then make adjustments based on the remaining data, as follows:
High Priorities: Top 20 keywords that will drive the greatest impact the quickest, branded keywords, and competitive keywords identified by stakeholders. Also look at keywords utilized in high impact pages such as product, service, and about pages to name a few.
Medium Priorities: Top 30 keywords found through queries currently ranking but not in a top 5 or page 1 category. In the industry we call these “sleeper keywords” which are found on pages 2 and 3 of search engines.
Low Priorities: The remaining keywords that are currently ranking for you, competition keywords, and other nice-to-have keywords that could be reprioritized next quarter.
Once you understand your audience behavior, objectives and key results, and know what keywords you are targeting, then you need to determine how it all fits together.
This is where pillar content and topic cluster strategies come into play.
4. Pillar Content & Topic Cluster Approach
Search engines are in the business of solving for the searcher, and that means delivering the best answer, the fastest.
To do this, search engines such as Google and Bing are increasingly relying on artificial intelligence and machine learning as opposed to mathematical algorithms to determine how content should rank because AI more closely approximates how humans search and the answers they are looking for.
The pillar content and topic cluster approach is a search engine optimization strategy that was developed in response to these changes that search engines are making, and is one of the most effective ways to rank for your target keywords.
What is Pillar Content?
Pillar content is a comprehensive resource page or long form article that covers a specific topic in depth and links to other high quality content on the same website that addresses subtopic keywords.
What are Topic Clusters?
Topic clusters are the 6 to 8 articles born from the supporting topics and subtopic keywords that are associated with your pillar. These pages are often in the form of blogs and landing pages that are linked to pillar pages.
When developing a keyword strategy for pillar content and topic clusters, look for opportunities to categorize the keywords you are focused on, consider synonyms and variations of keywords being used, and look for ways to incorporate existing content into your strategy.
If you are a business owner who focuses primarily on local traffic, ensure your keywords incorporate geo-targeting.
For example, we work with a local IT company in Connecticut who only wants to do business regionally. Their marketing qualified leads must be within the local geographic area where they do business to move to sales qualified status.
In this instance, we created landing pages focused on specific cities within the region and aligned them with the company's service offering.
Conclusion
Today, keyword strategies are far more in depth than they used to be. Take the time to understand your company's goals, your audience's behavior (and intent), and use strong data to drive a successful content strategy. 
Most importantly, remember to keep the user in mind and recognize that your strategy can (and most likely will) always be changing. Search engine algorithms are constantly evolving and your approach will need to evolve with them.
from Web Developers World https://www.impactbnd.com/blog/things-every-keyword-research-strategy-must-include
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