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How to Win at SEO & PPC (and Save Money Doing It) with Octoboard



This is a sponsored post written by Octoboard. The opinions expressed in this article are the sponsor’s own.

If you are an SEO, PPC, or marketing professional, you are operating in a super competitive space.

The competition is fierce. Companies use every opportunity to get ahead of the game.

Cloud data is one such opportunity.

The software that you’re using generates terabytes of data daily.

Octoboard makes it easy to convert your data into more revenue, new leads, less churn, and automated SEO and PPC insights. It only takes 5 minutes to set up and costs from just $20 per month.

How Businesses & SEO Professionals Use Octoboard to Win

We launched Octoboard in 2018 to create a simple, low-cost SaaS product that helps people use cloud data to win new clients, generate leads, monitor marketing performance, and reduce churn.

Today, less than two years since the launch of our first product, over 18,000 companies rely on the data that we process.

This is why top marketing professionals, SEO agencies, and PPC freelancers use Octoboard.

1. Impress Clients & Teams: Share Cloud Data Insights

Used by 87% of all Octoboard clients (based on a sample of active clients in the last 3 months).

Connect to any of the 60+ cloud applications that we integrate with (social networks, Google products, paid advertising platforms, Google Sheets, Zapier, databases, ecommerce platforms, financial applications) and use over 200 pre-defined templates to share data as private or public dashboards with internal teams and clients.

Check out the full list of data integrations and over 200 templates that are available on the platform. All templates and dashboards can be modified or extended with some 3,500 data visualizations available in the system – maps, graphs, charts, and data tables.

2. Automatic AI Insights via Slack & Email

We followed the big data trend and added a machine learning feature that will report on the latest SEO and PPC trends automatically.

Octoboard will constantly monitor data changes for you. We identify trends and send regular updates on your business performance and marketing metrics changes.

You can connect to your data once and start getting updates in your email box or company Slack channel. Our machine learning algorithms will automatically discover trends that you may miss.

3. Reduce Churns: Automate SEO, PPC & Ecommerce Client Reporting

Used by 95% of marketing agencies, online stores, and SEO freelancers.

Marketing agencies save hundreds of hours monthly by sending professional-looking automated reports to clients. Most agencies charge clients extra for this feature.

Clients who see regular updates appreciate the hard work that agencies put into online marketing and stay with agencies for many years. This feature is a real churn killer.

With over 200 data templates pre-built for you, it is definitely much easier to set up and use than Google Data Studio.

4. Extra Revenue: Add Client Portal to Your Website

Used by 69% of SEO and PPC professionals.

You can build client portals and host them on your website directly. Enable this feature and your clients will be redirected to login pages that look like part of your site.

Octoboard will do the heavy lifting behind the scene. It is 100% white label.

Businesses use client portals to create more value for the clients, reduce churn, and build extra revenue streams.

(Octoboard only charges $8 per client – how much you charge your clients for this feature is entirely up to you.)

5. Motivate Teams & Monitor SEO Trends on Office TV Dashboards

Used by 59% of startups.

Create dashboards using our templates and show them on monitors in your office.

Your teams stay up-to-date and focused on their targets and key performance metrics (Analytics, Paid Advertising, Support dashboards, Marketing campaigns, SEO, and keyword ranking changes).

Our Octoboard for Business product also offers real-time data that includes live website traffic, live email subscriptions, online purchases, and support queries.

SEO trends are available from hundreds of data points from Google products, SEMrush, and Octoboard’s own keywords ranking analytics and SEO Audits.

6. Generate More Revenue: Run SEO Audits for Client Websites

Used by 82% of agencies.

Octoboard offers SEO Audits as a free add-on to all our customers.

You can run audits for your client websites, add results to client portals, online dashboards, and distribute them in automated weekly reports.

All white label features are available in Octoboard as free add-ons.

7. Capture New Leads With Embedded SEO Audit Forms

This is our new feature and is in Alpha from June.

You can get up to 10 times more leads by embedding SEO Audit forms on your webpages.

Let visitors run white label SEO Audits for their websites.

Follow up with SEO Audit PDF documents and collect client opt-in for marketing and promotional material about your services.

8. Switch & Save

With Octoboard you can use SEMrush, Google Analytics or Google Search Console to monitor your keywords and another third-party product to add SEO Audit lead capture to your website plus one more to monitor keywords rankings.

Or you can switch to Octoboard’s own features that provide keyword rank tracking, embeddable audit forms, and automated reporting.

You will save hundreds of hours every month and thousands of dollars every year by switching to just one platform and stop paying for multiple products.

Octoboard pricing starts from just $20 per month.

Less logins – more savings – more work done!

Final Words

2020 is a difficult year for everyone. We are happy that our goal to keep Octoboard a low-cost platform is working for many businesses that are now switching from more expensive systems to Octoboard.

As the world is quickly getting even more digital, as more businesses go 100% online, we expect the importance of cloud data to increase. We hope that you will start using cloud data more, especially if it is now so easy to do with Octoboard.

After all, it is your data, so make good use of it to beat the competition and stay on top of your game!

Image Credits

Featured Image: Image by Octoboard. Used with permission.

In-Post Photos: Images provided by Octoboard. Used with permission.

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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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