Ubersuggest 4.0: The Ultimate Content Marketing Tool

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content ideas

Why do you do keyword research?

It’s to find more lucrative keywords to rank for on Google, right?

But once you find these keywords, you still have to figure out how to rank for them.

For that reason, I decided to update Ubersuggest because I wanted to show you what kind of content to create and even how to promote it.

That way you can start ranking for these newly found keywords.

Here’s what’s new…

Content ideas

The way you rank for a keyword is by creating content around it. I know content isn’t king anymore and that’s because there are over 1 billion blogs on the web. That means Google can be really picky about what they decide to rank.

So now, not only do you need to write amazing content, but you also have to promote it if you want to do well.

To help you with this I created a Content Ideas report in Ubersuggest. So whenever you do keyword research, you’ll see an overview that looks like this:


Just like before, you’ll see a graph at the top with the search volume over time, some keyword recommendations and, at the very bottom, a list of blog posts that performed exceptionally well for that keyword.

When you click on “content ideas” in the navigational menu or you click on “view all content ideas,” you’ll then be taken to a page that looks something like this:

content ideas

This page shows you all of the popular blog posts that have been written related to the keyword or phrase you searched.

The list is ordered by social shares, so the posts with the highest social shares are at the top. At the bottom, you can keep clicking to see more results. Even if your screen only shows 1 or 2 pages, just keep clicking next and you’ll start to see results for pages 3, 4, 5, etc.

We only show you 20 results per page, but each key phrase will typically have hundreds, if not thousands, of results as our database has over 500,000,000 blog posts from around the world.

And because there are so many results, we’ve also created an easy to use filtering system so you can fine-tune your search by including certain keywords or excluding other ones and even putting minimum and maximum thresholds on social shares.


My favorite part about the content ideas report

I know you can do similar things with Buzzsumo and other tools, but this is why I created the Content Ideas report.

As I mentioned earlier, content isn’t king. You not only have to write amazing content (that’s why I sort the content by social shares as more shares typically mean people love it), but you also have to promote it.

You’ll notice that there are two other columns in this report that make the tool unique… one is “Estimated Visits” and the other is “Backlinks”.


Estimated visits will show you how many visits the blog post generated from Google each month. Just click on “Keywords” and it will even show you the keywords that drive those visits and the position the article ranks for each of those terms.


Backlinks, on the other hand, are all of the referring domains that point to each article. So if 12 unique domains link to that blog post, then you’ll see the number “12” in that column. All you have to do is click on “links” and you’ll see the full list of backlinks.


Not only do I provide a thorough list of backlinks, but I also show you the overall page score, domain score, anchor text, and even the type of link.

The reasons I made the Content Ideas report like this are:

  1. By creating content similar to posts that have a lot of social shares, it increases the chances that the content you are writing is going to do well as people have already shown interest in that topic and even shared it on the social web.
  2. By showing you the keywords a blog post ranks for, you’ll know what keywords to focus on when writing the content. This way your post can rank as well.
  3. By showing you who links to your competition, you can now hit up everyone who links to competing articles and ask them to link to your piece of content.

Less fluff and more data

In addition to the Content Ideas report, you’ll now find that Ubersuggest provides you with more data and less fluff when you perform a keyword query.

For example, if you search for the term “dog food,” it will tell you that the average result that ranks in the top 10 has 72 backlinks and a domain score of 82.

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This way, if you want to rank for that term or any other term, you’ll have a rough idea of what you need from an authority and backlink standpoint to achieve a spot on page one.


If you are going to create content or write a blog post, you should check out the Content Ideas report each time before you write.

The last thing you want to do is create content that people don’t care about reading. And this report will give you good feedback so that way you aren’t wasting your time creating content that doesn’t generate social shares, backlinks, or rankings.

You’ll also notice that some posts do extremely well from a social sharing standpoint but terrible from a backlink and a search traffic perspective.

Social shares will bring you more short-term traffic and search engines bring you less traffic upfront, but more consistent traffic over time.

This report will help you find a balance so that you can get both short-term traffic and consistent traffic over the long-haul.

So, head on over and try the new Content Ideas report.

What do you think about the content ideas report?

PS: Sorry if the report takes a bit of time to load, there are currently over 2,000 people performing searches at the same time.

The post Ubersuggest 4.0: The Ultimate Content Marketing Tool appeared first on Neil Patel.

DescovaApp Review – Descova App Bonus

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The next blog post was initially seen on DescovaApp Review – Descova App Bonus

DescovaApp – what is it? The truth is, e-commerce is changing the face of retail right now. It’s a massive 22.1 trillion dollar industry, accounting for nearly 14% of all retail sales worldwide! It’s only going to get bigger.

It`s growing exponentially and we have barely scratched the surface! It’s no wonder that most internet marketers are scrambling to secure their share of this lucrative market.

You should too… ecommerce is miles above everything else. It has the absolute biggest potential for easily building a long term, sustainable and growing income! In the last one year alone, eCommerce have made more NEW millionaires online than any other industry have done in the last 10 years.

I’m not talking about companies and corporations, I’m talking about ordinary people like you and me going from zero to millionaire status almost overnight just because they started a brand new eCommerce business. Now with Descovaapp , you can take your own share of the pie!

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Descovaapp is the first ever eCommerce product research software that actually shows you the WINNING products to sell right now… You get access to winnings products that are making a killing right now.

Descova App it`s the only multi-platform product research software in the market, before now… users were stuck with either an Aliexpress research software or Amazon research tool but for the first, a brand new tool that research hot selling products across multiple platforms at once All-in-One dashboard.

Content Gorilla Review : Bonus

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Content Gorilla – what is it? Content Gorilla is a new cloud based app that has just went live. With Content Gorilla, you can create 100% high authority, search engine friendly and human readable content in literally minutes.

It`s no secret that the easiest way to get higher rankings on search engines is by content marketing. But creating content consistently isn’t an easy job. You’d know if you have ever tried. But today that changes with content gorilla software.

Content Gorilla features :

  • Convert any YouTube video into a fully formatted WordPress blog post.
  • Auto images : Image related to the video user select gets automatically added into the post to make it more appealing. User can drag/drop more images into the content if he wish.
  • Built-in 1 click spinner to make sure the variation of content is unique.
  • Built-in 1 click grammar correction.
  • Video tags to Post tags conversion – helps with search engine rankings.
  • 1 click multi-publish. Publish the same post (with different variations of spin) to multiple blogs at the same time. (Ideal for building a PBN)
  • Advanced search allows you to fetch all videos from a YT channel and/or playlist.
  • The bulk poster. Ability to create instantly or schedule up to 10 posts for up to 10 days.
  • BONUS : Course on building a WordPress website from scartch that works best with Content Gorilla.

content gorilla review

The next blog post was initially seen on Content Gorilla Review : Bonus

Flip the Model on Advanced Data Analytics

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Amid mounting digital transformation pressures, the top two categories for increased IT spending in 2019 are cloud computing—and on-premises data analytics, according to a recent Morgan Stanley survey of North American CIOs.

Why analytics? IT leaders in large organizations are investing heavily to extract more value from information they already have. For most of them, their critical applications aren’t in the cloud yet. And—for the time being—their center of gravity remains in the data center.

For most organizations, the process of gaining insight from data has long been the same: Extract data from one or more sources, Transform it to be suitable for analytics, and then Load it into a separate environment for analytic processing (ETL).  

Every year, though, there’s more to process—more data, more sources, and more data types. And the time-tested ETL approach is starting to show limitations.

At even modest scale, the ETL process can be complex, time-consuming, and costly. It’s also slow: Your people will always be looking at a snapshot of what was instead of what’s happening right now. ETL can also increase security risks, as potentially sensitive data is being stored and used in more places.

Modern Databases: A Better Way?

These limitations raise an important question: Is there a way to minimize the cost, complexity, and risk of ETL, yet still extract value from data? The answer is: yes.

Modern databases can flip the ETL model by running powerful analytics right inside the database itself, producing high-level results without the need to extract, transform, and load data into a separate environment. The result can be powerful insights, delivered faster, more cost-effectively, and more securely.

Many are surprised to find that modern databases have literally hundreds of powerful analytical functions built in, from simple statistics to modern machine learning. Or code in R or Python, if you prefer.

Answers are delivered much faster, thanks to in-memory processing and optimized algorithms, in addition to the elimination of the inherent delays associated with ETL. Organizations can safely use the same database for both transactions and analytics at the same time, which eliminates the need to extract and load, in addition to providing real-time insights. 

Any required data transformations can usually be done in-place via a separate database view, without affecting the underlying data. And all database security, auditing, and compliance protections remain in place at all times. The results can be transformative.

A Healthcare Example

One problem for emergency rooms in the US is identifying “frequent flyers,” patients who often visit emergency rooms for reasons other than the need for urgent medical care. 

How useful would be a model that could predict the probability that a visiting patient might fit that profile and perhaps benefit from another course of treatment? An ideal model would look at factors beyond the frequency of ER visits and their outcomes. 

Using a conventional ETL approach would require setting up a separate analytics environment, extracting all relevant data, masking and redacting sensitive information, then cleansing and transforming the data to be usable. You’d next begin the long process of building, training, and testing different machine learning models. Once you had something that worked, you’d have to find a way to get your model into production. And every time you wanted to retrain your model with current data, you’d have to do it all over again.

Let’s compare that approach with a modern in-database approach. Assuming all of the relevant data is in a modern database, the data would stay in place. Automatic data masking and redaction would identify sensitive bits and protect them with a full audit trail for compliance purposes. The rules for cleaning and transforming data could simply be an additional database view of existing data, with no separate processing required. 

The database could help build your model, if you choose. It could automatically identify the most useful predictive features hidden among all the less useful ones. It would then automatically select the model that produces the best predictive results. And, finally, it would automatically tune the model parameters to make even better predictions. 

The finished model could be stored as a procedure in the database, making it easy to put into production—simply invoke it as needed. When it comes time, the process of retraining your model could be done in a few hours, instead of weeks or longer.

Sometimes speedy decision-making is of the essence. For example, wireless communications providers work hard to combat fraudulent cell phone calls. The best time to spot fraud is as the call is being placed, not after the fact. Using in-memory data processing, several wireless providers are using models that identify potentially fraudulent calls before they’re connected. Credit card providers are doing much of the same to identify potentially fraudulent transactions.

Old Habits Die Hard

Tell most data analytics practitioners that much of their ETL efforts might not be the best way to do things, and they’ll react with disbelief. After all, that’s the way they’ve always operated.

However, once they see the inherent advantages of bringing the algorithms to where the data lives, instead of bringing the data to the processing, their perspective changes quickly.

Indeed, as business pressures grow to extract ever more value from existing data, the appeal of using modern databases to deliver advanced analytical insights will only grow.