Trending February 2024 # Why Big Brands Shouldn’t Ignore Seo # Suggested March 2024 # Top 4 Popular

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If you’ve ever helped lift a new brand off the ground and generate a large amount of organic visibility, you know that doing so is no easy feat.

You need to build authority, create resourceful content, and instill SEO best practices.

All of this takes time. Usually a lot of time.

On the other side of this spectrum are large brands. Those sites with so much brand equity that some may question whether SEO is even really a need.

But we can put this question to rest when we consider all that SEO encompasses.

SEO isn’t simply about attracting new visitors who know little about your brand. A lot of what SEO is composed of is the “maintenance” of your organic online presence and the experience that you provide to your site users.

Let’s think for a moment about one of the biggest brands in the world, Coca-Cola.

They definitely don’t need to concentrate on SEO, right?


Brand Advantage

While SEO nerds such as myself could sit around for hours debating this topic, I hope you can see my point here.

Using our aforementioned example, one might say that SEO doesn’t matter for big brands because big brands have coveted amounts of domain authority. Heck, Coca-Cola could curse Google CEO Sundar Pichai on their homepage and not see any organic visibility loss.

(Friendly reminder from your friends at SEJ: slandering Google definitely isn’t a recommended SEO best practice!) 

Finally, the rest of the naysayers in the specific example brands above might say, who searches for soda?

Well, yes, these sites by way of brand strength have many links and citations across the web. Yes, previous updates to favor sites with massive amounts of “trust” win at the end of the day. And, yes, people drink soda, they don’t search for it.

Why SEO is important for even the biggest brands is because, in many cases, SEO best practices are standard website best practices.

Advertising’s Anchor

We want them to buy our products!

Do we want users landing on 404 error pages? Of course not.

A dedication to SEO means making sure that people don’t land on 404 error pages due to URL structure changes without redirects or redirect chains including broken page paths.

UX Assistance

Let’s also consider how brands engage with digital consumers.

Whether web users are arriving and traversing the site to register in a sweepstakes, explore career opportunities, or visit from a link found on another site, a slow loading site is a quick way to lose out on a great experience.

Page load time has become the obsession of the SEO industry. It is a big consideration of the emerging mobile shift in web user behavior as well as Google’s mobile-first initiative.

Having an in-house SEO team or dedicated agency partner, fast page load times are a continual effort in search of perfection.

Additionally, think about the efficiency of a site user’s visit journey. From landing page to exit page, a great digital experience helps user easily navigate a site and find exactly what they’re looking for.

The same applies to internal links in body copy. These should be anchored appropriately to improve SEO efforts, but also follow usability best practices.

SERP Brand Management

Let’s a take a moment to think about a brand’s presence in search engines. Most SEOs are focused on non-branded keyword term enhancement. But big brands are likely going to have a lot of branded searches.

What shows up for a big brand name keyword search? Often, a Knowledge Panel, sitelinks for the brand’s internal pages, and other owned domain properties.

A dedicated SEO focus will improve these items.

For example, schema usage can provide a lot of enhancements to a brand Knowledge Panel. From stock prices and customer service contact information to social profile links and company history, SEO best practices can provide a lot of brand education and facilitation in search results.


SEO isn’t simply about driving new visits and building a brand.

In many ways, SEO is about maintaining a brand and ensuring a great experience. This is essential to both emerging companies and big brands.

You don’t have to call some of the needed site exercises “SEO.” But what is needed in managing a brand’s online presence is akin to the focus of your everyday SEO.

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What Is Big Data? Why Big Data Analytics Is Important?

What is Big Data? Why Big Data Analytics Is Important? Data is Indispensable. What is Big Data?

Is it a product?

Is it a set of tools?

Is it a data set that is used by big businesses only?

How big businesses deal with big data repositories?

What is the size of this data?

What is big data analytics?

What is the difference between big data and Hadoop?

These and several other questions come to mind when we look for the answer to what is big data? Ok, the last question might not be what you ask, but others are a possibility.

Hence, here we will define what is it, what is its purpose or value and why we use this large volume of data.

Big Data refers to a massive volume of both structured and unstructured data that overpowers businesses on a day to day basis. But it’s not the size of data that matters, what matters is how it is used and processed. It can be analyzed using big data analytics to make better strategic decisions for businesses to move.

According to Gartner:

Importance of Big Data

The best way to understand a thing is to know its history.

Data has been around for years; but the concept gained momentum in the early 2000s and since then businesses started to collect information, run big data analytics to uncover details for future use.  Thereby, giving organizations the ability to work quickly and stay agile.

This was the time when Doug Laney defined this data as the three Vs (volume, velocity, and variety):

Volume: is the amount of data moved from Gigabytes to terabytes and beyond.

Velocity: The speed of data processing is velocity.

Variety: data comes in different types from structured to unstructured. Structured data is usually numeric while unstructured – text, documents, email, video, audio, financial transactions, etc.

Where these three Vs made understanding big data easy, they even made clear that handling this large volume of data using the traditional framework won’t be easy.  This was the time when Hadoop came into existence and certain questions like:

What is Hadoop?

Is Hadoop another name of big data?

Is Hadoop different than big data?

All these came into existence.

So, let’s begin answering them.

Big Data and Hadoop

Let’s take restaurant analogy as an example to understand the relationship between big data and Hadoop

Tom recently opened a restaurant with a chef where he receives 2 orders per day he can easily handle these orders, just like RDBMS. But with time Tom thought of expanding the business and hence to engage more customers he started taking online orders. Because of this change the rate at which he was receiving orders increased and now instead of 2 he started receiving 10 orders per hour. This same thing happened with data. With the introduction of various sources like smartphones, social media, etc data growth became huge but due to a sudden change handling large orders/data isn’t easy. Hence a need for a different kind of strategy to cope up with this problem arise.

Likewise, to tackle the data problem huge datasets, multiple processing units were installed but this wasn’t effective either as the centralized storage unit became the bottleneck. This means if the centralized unit goes down the whole system gets compromised. Hence, there was a need to look for a better solution for both data and restaurant.

Tom came with an efficient solution, he divided the chefs into two hierarchies, i.e. junior and head chef and assigned each junior chef with a food shelf. Say for example the dish is pasta sauce. Now, according to Tom’s plan, one junior chef will prepare pasta and the other junior chef will prepare the sauce. Moving ahead they will hand over both pasta and sauce to the head chef, where the head chef will prepare the pasta sauce after combining both the ingredients, the final order will be delivered. This solution worked perfectly for Tom’s restaurant and for Big Data this is done by Hadoop.

Hadoop is an open-source software framework that is used to store and process data in a distributed manner on large clusters of commodity hardware. Hadoop stores the data in a distributed fashion with replications, to provide fault tolerance and give a final result without facing bottleneck problem. Now, you must have got an idea of how Hadoop solves the problem of Big Data i.e.

Storing huge amount of data.

Storing data in various formats: unstructured, semi-structured and structured.

The processing speed of data.

So does this mean both Big Data and Hadoop are same?

We cannot say that, as there are differences between both.

What is the difference between Big Data and Hadoop?

Big data is nothing more than a concept that represents a large amount of data whereas Apache Hadoop is used to handle this large amount of data.

It is complex with many meanings whereas Apache Hadoop is a program that achieves a set of goals and objectives.

This large volume of data is a collection of various records, with multiple formats while Apache Hadoop handles different formats of data.

Hadoop is a processing machine and big data is the raw material.

Now that we know what this data is, how Hadoop and big data work. It’s time to know how companies are benefiting from this data.

How Companies are Benefiting from Big Data?

A few examples to explain how this large data helps companies gain an extra edge:

Coca Cola and Big Data

Coca-Cola is a company that needs no introduction. For centuries now, this company has been a leader in consumer-packaged goods. All its products are distributed globally. One thing that makes Coca Cola win is data. But how?

Coca Cola and Big data:

Using the collected data and analyzing it via big data analytics Coca Cola is able to decide on the following factors:

Selection of right ingredient mix to produce juice products

Supply of products in restaurants, retail, etc

Social media campaign to understand buyer behavior, loyalty program

Creating digital service centers for procurement and HR process

Netflix and Big Data

To stay ahead of other video streaming services Netflix constantly analyses trends and makes sure people get what they look for on Netflix. They look for data in:

Most viewed programs

Trends, shows customers consume and wait for

Devices used by customers to watch its programs

What viewers like binge-watching, watching in parts, back to back or a complete series.

For many video streaming and entertainment companies, big data analytics is the key to retain subscribers, secure revenues, and understand the type of content viewers like based on geographical locations. This voluminous data not only gives Netflix this ability but even helps other video streaming services to understand what viewers want and how Netflix and others can deliver it.

Alongside there are companies that store following data that helps big data analytics to give accurate results like:

Tweets saved on Twitter’s servers

Information stored from tracking car rides by Google

Local and national election results

Treatments took and the name of the hospital

Types of the credit card used, and purchases made at different places

What, when people watch on Netflix, Amazon Prime, IPTV, etc and for how long

Hmm, so this is how companies know about our behavior and they design services for us.

What is Big Data Analytics?

The process of studying and examining large data sets to understand patterns and get insights is called big data analytics. It involves an algorithmic and mathematical process to derive meaningful correlation. The focus of data analytics is to derive conclusions that are based on what researchers know.

Importance of big data analytics

Ideally, big data handle predictions/forecasts of the vast data collected from various sources. This helps businesses make better decisions. Some of the fields where data is used are machine learning, artificial intelligence, robotics, healthcare, virtual reality, and various other sections. Hence, we need to keep data clutter-free and organized.

This provides organizations with a chance to change and grow. And this is why big data analytics is becoming popular and is of utmost importance. Based on its nature we can divide it into 4 different parts:

In addition to this, large data also play an important role in these following fields:

Identification of new opportunities

Data harnessing in organizations

Earning higher profits & efficient operations

Effective marketing

Better customer service

Now, that we know in what all fields data plays an important role. It’s time to understand how big data and its 4 different parts work.

Big Data Analytics and Data Sciences

Data Sciences, on the other hand, is an umbrella term that includes scientific methods to process data. Data Sciences combine multiple areas like mathematics, data cleansing, etc to prepare and align big data.

Due to the complexities involved data sciences is quite challenging but with the unprecedented growth of information generated globally concept of voluminous data is also evolving.  Hence the field of data sciences that involve big data is inseparable. Data encompasses, structured, unstructured information whereas data sciences is a more focused approach that involves specific scientific areas.

Businesses and Big Data Analytics

Due to the rise in demand use of tools to analyze data is increasing as they help organizations find new opportunities and gain new insights to run their business efficiently.

Real-time Benefits of Big Data Analytics

Data over the years has seen enormous growth due to which data usage has increased in industries ranging from:







All in all, Data analytics has become an essential part of companies today.

Job Opportunities and big data analytics

Data is almost everywhere hence there is an urgent need to collect and preserve whatever data is being generated. This is why big data analytics is in the frontiers of IT and had become crucial in improving businesses and making decisions. Professionals skilled in analyzing data have got an ocean of opportunities. As they are the ones who can bridge the gap between traditional and new business analytics techniques that help businesses grow.

Benefits of Big Data Analytics

Cost Reduction

Better Decision Making

New product and services

Fraud detection

Better sales insights

Understanding market conditions

Data Accuracy

Improved Pricing

How big data analytics work and its key technologies

Here are the biggest players:

Machine Learning: Machine learning, trains a machine to learn and analyze bigger, more complex data to deliver faster and accurate results. Using a machine learning subset of AI organizations can identify profitable opportunities – avoiding unknown risks.

Data management: With data constantly flowing in and out of the organization we need to know if it is of high quality and can be reliably analyzed. Once the data is reliable a master data management program is used to get the organization on the same page and analyze data.

Data mining: Data mining technology helps analyze hidden patterns of data so that it can be used in further analysis to get an answer for complex business questions. Using data mining algorithm businesses can make better decisions and can even pinpoint problem areas to increase revenue by cutting costs. Data mining is also known as data discovery and knowledge discovery.

In-memory analytics: This business intelligence (BI) methodology is used to solve complex business problems. By analyzing data from RAM computer’s system memory query response time can be shortened and faster business decisions can be made. This technology even eliminates the overhead of storing data aggregate tables or indexing data, resulting in faster response time. Not only this in-memory analytics even helps the organization to run iterative and interactive big data analytics.

Predictive analytics: Predictive analytics is the method of extracting information from existing data to determine and predict future outcomes and trends. techniques like data mining, modeling, machine learning, AI are used to analyze current data to make future predictions. Predictive analytics allows organizations to become proactive, foresee future, anticipate the outcome, etc. Moreover, it goes further and suggests actions to benefit from the prediction and also provide a decision to benefit its predictions and implications.

Text mining: Text mining also referred to as text data mining is the process of deriving high-quality information from unstructured text data. With text mining technology, you uncover insights you hadn’t noticed before. Text mining uses machine learning and is more practical for data scientists and other users to develop big data platforms and help analyze data to discover new topics.

Big data analytics challenges and ways they can be solved

A huge amount of data is produced every minute hence it is becoming a challenging job to store, manage, utilize and analyze it.  Even large businesses struggle with data management and storage to make a huge amount of data usage. This problem cannot be solved by simply storing data that is the reason organizations need to identify challenges and work towards resolving them:

Improper understanding and acceptance of big data

Meaningful insights via big data analytics

Data storage and quality

Security and privacy of data

Collection of meaningful data in real-time: Skill shortage

Data synching

Visual representation of data

Confusion in data management

Structuring large data

Information extraction from data

Organizational Benefits of Big Data

Big Data is not useful to organize data, but it even brings a multitude of benefits for the enterprises. The top five are:

Understand market trends: Using large data and  big data analytics, enterprises can easily, forecast market trends, predict customer preferences, evaluate product effectiveness, customer preferences, and gain foresight into customer behavior. These insights in return help understand purchasing patterns, buying patterns, preference and more. Such beforehand information helps in ding planning and managing things.

Understand customer needs:  Big Data analytics helps companies understand and plan better customer satisfaction. Thereby impacting the growth of a business. 24*7 support, complaint resolution, consistent feedback collection, etc.

Improving the company’s reputation: Big data helps deal with false rumors, provides better service customer needs and maintains company image. Using big data analytics tools, you can analyze both negative and positive emotions that help understand customer needs and expectations.

Promotes cost-saving measures: The initial costs of deploying Big Data is high, yet the returns and gainful insights more than you pay. Big Data can be used to store data more effectively.

Makes data available: Modern tools in Big Data can in actual-time presence required portions of data anytime in a structured and easily readable format.

Sectors where Big Data is used:

Retail & E-Commerce

Finance Services



With this, we can conclude that there is no specific definition of what is big data but still we all will agree that a large voluminous amount of data is big data. Also, with time the importance of big data analytics is increasing as it helps enhance knowledge and come to a profitable conclusion.

If you are keen to benefit from big data, then using Hadoop will surely help. As it is a method that knows how to manage big data and make it comprehensible.

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Preeti Seth

6 Social Advertising Tips For Financial Brands

More than 50% of offline investors first collect information online before making an investment decision.

And according to research from RRD, more than half of consumers have discovered a new brand, product, or service in the past year via both word of mouth and social media.

These statistics show how social media can be a literal goldmine for financial services brands looking to attract customers and foster sustainable growth.

But only if they manage to use it well.

Financial Services Marketing – A Challenge Of Its Own

Marketing financial services is not as easy as marketing a makeup product or an apparel brand.

These conventional products have an inherent charm and appeal that most financial products lack. The products that financial brands hope to sell are inherently dull – that is why convincing people to buy them can be a challenge.

Another reason financial services marketing is trickier than other industries is that the finance industry is jargon-heavy.

Finance professionals use highly technical terms, and their processes are also filled with industry jargon.

Moreover, many regulatory and compliance formalities restrain the financial services marketing industry.

Additionally, people buy value. They invest in things that they believe will add value to their lives.

This is why it is easier to convince people to buy a waterproof watch – all they have to do is take a shower wearing the watch to know it’s worth their money.

Most financial services are unlike the waterproof watch.

They generate results in the long run, or sometimes, they don’t generate any tangible results at all.

And finally, a large part of ecommerce, regardless of the industry, rests on trust – something the finance industry lost after the 2008 recession.

It’s been many years since that happened, but customers are still skeptical about trusting financial services.

This presents another hurdle in the way of financial services marketers as they go forth toward building their audience’s trust and getting their buying cycle turning.

Social Advertising Tips For Finance Brands

It’s about time all finance brands gear up, adjust to the changes in the marketing arena, and devise strategies to help them deliver campaigns according to the modern customers’ changing demands.

1. Engage Influencers

Influencer marketing was not taken seriously by many people when it was young. However, it has become a multi-billion dollar industry now, already reshaping how brands interact with their customers.

Financial services brands are often skeptical of influencer marketing since they believe most of their target audience comprises the older generation.

However, Gen Z accounts for over 40% of global consumers. And, interestingly, 34% of Gen Z are learning personal finance through TikTok and YouTube.

The best way to tap into this audience pool is through social media, mainly through influencer marketing.

Influencer marketing is especially crucial for finance brands dealing with tech-savvy and younger audiences because that’s who most influencers reach and… well, influence.

Always choose an influencer who understands the finance industry.

As stated above, the finance industry is heavy with technical processes and jargon. You should partner with an influencer who can help break down these terms for the general audience.

Make sure the influencers’ target audience aligns with your ideal customer persona, and don’t just create one-off campaigns. Remember, you need to build trust.

Financial services saw a 14% increase in trust factor in 2023, which is the highest figure the industry has seen in years.

Customers are just starting to trust financial institutions, and you want to reinforce this trust by hand-picking the right influencers and then sticking with them for long-running campaigns.

2. Perform In-Depth Audience Research

42% of financial service marketers state that reaching the right audience is one of their primary concerns.

Your audience data will guide all the decisions you make down the road. Therefore, you must ensure your customer profile is built on precise and accurate data.

Therefore, start by identifying your target audience’s age, gender, location, and other similar demographic information. You can tap into your social media handles and find out much of this information from there.

Also, try to learn about their interests and struggles, so you can craft messages that resonate with them.

You can do this by asking your customer directly through surveys.

Or, you can see who your competitors are targeting and how, and figure out key data points from there.

3. Choose Your Platform Wisely

If your target audience hangs out at Burger King, would you consider it appropriate to market at Pizza Hut? Of course not.

And for that, you have to find and pick a social platform where your target customers hang out the most.

If your target audience is a married millennial female, you may want to head to Pinterest. If, however, you want to reach Gen Z, you might be better off sticking to Snapchat, TikTok, and Instagram.

Apart from finding out which platform your target audience uses, it also determines the kind of content they consume on the platform. Are they using TikTok for how-to videos? Or are they using Instagram to discover brands?

Create the kind of content you know your audience consumes.

4. Perform Tests To Optimize Ad Performance

To make sure they do that, you have to test them before launching.

Ad testing involves creating different variants of the same ad and testing to see which one performs better. It gives you insights into which of your ad concepts are working and what needs to go.

For example, your ad graphic might be good, but the copy may not be too appealing to the audience. So, before running this ad on a larger scale, you would want to adjust the copy so it can make the right impact when it goes out to a bigger audience.

Make at least three variations of one ad, so you have enough data to guide your decisions. For granular insights, stick to changing just one element of the ad. If you alter more than one element, you may be confused when attributing the results to elements.

So, change just one element in each test.

5. Always Stick To Your Brand

Trust is a crucial factor in all industries. But it is ever so important in the finance industry.

61% of people are unlikely to use a finance brand that’s new to them.

You need to build your brand and then stick to it to make sure people can recognize your business from its branding elements.

Think of PayPal. Would you recognize PayPal from its trademark colors? Most likely, the answer is yes.

Have you seen how Payoneer sticks to its trademark color palette?

People trust brands, not businesses. Therefore, stick to your brand when creating and running social media ad campaigns. No one will recognize you if your ad creatives don’t align with your regular branding.

And it’s not just about recognition. Consistent representation of a brand can increase revenue by 33%. This shows how branding can also impact your bottom line.

6. Prioritize Quality Visual Content

We have said it a couple of times already, but it won’t hurt to repeat it: Attention on social media is scarce.

People consume bite-sized content.

And no one has the time to go through boring blocks of text.

Also, simply including visuals isn’t enough.

In some cases, your social media ad may only have 10 seconds to make the right impact. Therefore, create visuals that are appealing, easy to remember, and deliver your message quickly.


Despite the obstacles in the way of financial services marketing, you will have to develop strategies that can take your brand to the right people, deliver the right message, and generate value for your brand.

However, before you implement all the strategies we discussed here, make a note of this: always practice transparency.

Trust is already a scarce commodity in financial services marketing, and you can’t afford to lose more of it.

Therefore, keep your offerings as transparent as possible, educate the audience, and speak to them in a language they understand through a medium they value.

More resources: 

Featured Image: MK photograp55/Shutterstock

Windows 10/11 Updates Ignore Active Hours? Try This

Windows 10/11 updates ignore active hours? Try this






Try Outbyte Driver Updater to resolve driver issues entirely:

This software will simplify the process by both searching and updating your drivers to prevent various malfunctions and enhance your PC stability. Check all your drivers now in 3 easy steps:

Download Outbyte Driver Updater.

Launch it on your PC to find all the problematic drivers.

OutByte Driver Updater has been downloaded by


readers this month.

Updating Windows 10 is an integral part of what it means to keep your OS in neat condition.

It presumes downloading the latest upgrades, tweaks, and fixes for some of the most common problems reported.

Unfortunately, having to forcefully restart your PC isn’t all that convenient, especially when you are running a network of multiple PC’s.

How to set up active hours on Windows 10:

Press Windows

Go to Settings (The cogwheel-shaped button)

Select the Change active hours option

Enter a time interval you wish to not have any updates downloaded

You can only input a time interval of up to 18 hours, anything over that value will be deemed invalid

You can also make the computer to automatically change your active hours based on your average PC usage.

However, some users are complaining that Windows 10 is ignoring this feature:

How can I stop Windows 10 from performing it’s very large Windows Updates download during normal business hours? I have ‘Active Hours’ set to non-business hours but Windows 10 will still download massive amounts of data over a limited WAN connection. […] I want the download to be done after hours when the office is closed and the computer left on as to have no negative business impact.

How do you make your Windows 10 to stop ignoring your active hours?

Please remember that active hours are not for controlling the download of Windows updates, but for installing the downloaded Windows updates.

It will keep downloading updates but will install only during specified active hours.

You absolutely have no control over the timing of Windows updates download.

As such, all you are left with is controlling when will your PC restart for certain updates to take effect.

These steps can only be followed by a group administrator running Windows Server 2023 version 1903 and later:

Press Windows

Type in Group Policy

Go to Group Policy

Access Configure Automatic Updates

Select option 4 – Auto download and schedule the install

Input time in the Scheduled install time dropdown

By following these steps, you will force restart after the specified installation time.

This will also let you configure a timer to warn a signed-in user that a restart is going to occur.

If all else fails, simply consider shutting down automatic updates on Windows 10, and installing them manually when you have the time.

3. Wait it out

If the problem persists even after both you and the administrator have followed these steps, all you can do is wait for a new patch that may fix this issue.


Still experiencing troubles? Fix them with this tool:


Some driver-related issues can be solved faster by using a tailored driver solution. If you’re still having problems with your drivers, simply install OutByte Driver Updater and get it up and running immediately. Thus, let it update all drivers and fix other PC issues in no time!

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How To Ignore And Unignore Messages On Messenger In 2023

Facebook is a great way to connect with your friends and family. It is also a great way to make new friends, discover local points of interest, and join different groups and communities that might resonate with you. Facebook also allows you to send private messages to your groups and contacts which helps you stay connected with each other.

While a great feature, you can sometimes end up receiving annoying messages constantly. This is especially the case if you are a member of a group. If you wish to get rid of this annoyance without losing the ability to get in touch, then you can try ignoring messages on Facebook. Let’s take a look at it.

Related: How To Unhide Messages on Messenger app and website (and Facebook)

What is ignore messages on Facebook?

Ignore messages is a functionality that Facebook offers for specific users and groups. It allows you to mute notifications from a particular contact without letting them know. The concerned conversation is automatically filtered and moved to the ‘Message Request’ section in Messenger.

This allows you to view all the incoming messages without getting a notification for a single one of them. The concerned party will also not be receiving read receipts when you read their messages in the ‘Message request’ section.

Related: How To Get Out Of A Group On Messenger And What Happens When You Do This

How to ignore messages on Facebook?

Ignoring messages on Facebook is a pretty simple procedure. Simply follow one of the guides below that fits your device to get started.

On Android

Open the Messenger application on your device and navigate to the conversation that you wish to ignore. Now tap and hold on the conversation.

Select ‘Ignore chat’.

Confirm your selection by tapping on ‘Ignore’ again.

The conversation will now be moved to the ‘Message request’ section and you will have successfully ignored messages from that particular contact.

Related: How To Make A Post Shareable On Facebook

On iPhone and iPad

Open Messenger on your iOS device and navigate to the conversation that you wish to ignore.

Tap on it to open the conversation. Now tap on the ‘Username’ at the top of your screen.

Scroll down and tap on ‘Ignore messages’.

Confirm your selection by tapping on ‘Ignore’ again.

The conversation will now be ignored and move to the ‘Message request’ section of your messenger.

All messages in the future from the selected contact/group will be automatically ignored and moved to the message request section on Facebook.

All the messages from the particular account will now be ignored and moved to the ‘Message request’ section on Facebook.

How to unignore messages?

Unignoring someone on Facebook is just as easy as ignoring them. Follow one of the guides below depending on your device to get you started.

On Android

Open the Messenger application and tap on your profile icon in the top left corner of your screen.

Now select and tap on ‘Message Requests’.

Select the ‘Spam’ tab.

You will find the ignored conversation on this list. Tap on it to open it.

Now simply send a message to the concerned contact to unignore them.

And that is it. The ignored contact should now be unignored and available in the Chat section.

On iPhone and iPad

Open the Messenger application on your iOS device and tap on your profile icon in the top left-hand corner.

Now tap on ‘Message Requests’.

Tap on ‘Spam’.

Tap and open the conversation with the contact that you wish to unignore.

Now simply send them a message.

Your concerned contact will now be automatically unignored by Facebook.

Now simply send a message to the contact to unignore them.

The concerned contact will now be unignored and the conversation between you two will now be available in the chat list.

Simply send a message to the concerned contact and they will be automatically unignored by Facebook.

The concerned contact should now be removed from your Spam list and moved to the chat section.

Can I still view ignored messages on Messenger?

Yes, you can easily view ignored messages and conversations in the ‘Message Requests’ section of your app. You can go through all the messages without having to worry about the other party getting notified. Facebook does not send read receipts to ignored contacts.

Can I delete ignored conversations?

Yes, you can easily delete an ignored conversation. Simply use the ‘Gear’ icon or the ‘information’ icon depending on the device and app that you are using to delete the conversation thread. You should however keep in mind, that deleted conversations on Facebook can not be recovered.

Difference between blocking and ignoring someone on Facebook?

There are quite a number of differences when it comes to blocking and ignoring. Let’s take a look at some of the most prominent differences.

What happens when you block someone?

They get unfriended on Facebook.

They can not see your profile or follow you.

They can not tag you.

They can not search for your profile.

Tagged photos of you will be hidden from them depending on your privacy settings.

Related: How to turn off chat in Messenger and where is the feature located

What happens when you ignore someone?

You stop receiving notifications for their messages.

Their chat is no longer available in Messenger.

They can still see your profile and follow you.

Ignored contacts can also search for your profile.

They can tag you in photos.

Your tagged photos are visible to ignored contacts.

They are not unfriended.


5 Macgyver Hacks You Should Try At Home—And 2 You Really Shouldn’t

Television shows are full of badass secret agents. But only one of them has infiltrated the Oxford English Dictionary. The eponymous hero of MacGyver became a verb thanks to his penchant for building improvised solutions using only the materials at hand. He’s been inspiring makers and DIYers ever since—and now that the show is back on the air, they, in turn, are inspiring him.

“That character was so unique to the landscape because he wasn’t somebody who needed a gun or conventional tools. He was a cerebral hero who made things up as he went along,” says Peter Lenkov, the creator and executive producer of the new, rebooted MacGyver. “That was the fun of the original show, watching him build things.”

The first iteration of the series, which ran from 1985 to 1992, does differ from the reboot. Lenkov explains that, instead of flying solo, the protagonist—originally portrayed by Richard Dean Anderson and currently by Lucas Till—now works as part of a team. “There’s more of a family vibe,” he says, “more people he bounces off of.” But MacGyver himself is still the same smart, improvisational tinkerer.

And the team aims to make his exploits as plausible as possible. To that end, Lenkov and the show’s writers work with technical consultant Rhett Allain, who’s also a physics professor, blogger, and author. “I take the ideas that the writers come up with and I check the plausibility of them,” Allain explains. “It doesn’t have to be 100 percent accurate—I look at the science behind it and see if that actually could happen. Then I’ll go through the technical aspects of how you would actually have to do these things.”

For example, Allain has written in detail about how a body bag filled with fire-extinguisher foam could, technically, cushion MacGyver as he falls out of a fourth-story window. But he notes that the feat would require precise timing and a decent amount of luck. Also you should never ever ever ever ever try it yourself.

When the writers come up with a hack that wouldn’t quite work, Allain also suggests alternatives. Take the night-vision goggles that the team wanted MacGyver to build in episode 3. “They were going to color glasses red and blue, and then that would make him be able to see infrared light, Allain says. “But they just confused the idea of 3-D glasses with infrared vision.”

Some of the show’s inspirations come from writing MacGyver into an impossible situation and then brainstorming how he’d escape. Other projects are mined from the Internet. “I am a big fan of the maker movement, and I draw on maker projects for ideas too,” he says. “If I see something cool, I’ll put it in little lists. In case it’s related to a future MacGyver episode, I’ll have that ready.”

The show may draw on DIYers, but it goes both ways, with tinkerers imitating the hacks they see on the show. We asked Lenkov to find a few of MacGyver’s projects that would work well enough for amateurs to recreate. Some of these are safe enough to build at home. Others could cause death, destruction, dismemberment, etc, if done incorrectly. Unless you’re actually a secret agent, those are the ones you should avoid.

Laser microphone

Want to spy on your neighbors from outside? In a similar situation, MacGyver rigs up a distant laser microphone. When a conversation goes on inside a room, it creates vibrations in the air—vibrations that carry to the glass of a window. All a would-be eavesdropper need do is point a laser at the window, aiming the beam so that it bounces off the glass and returns to hit a light-sensitive photocell. The photocell can detect fluctuations in the laser beam—and if you wire that photocell to a speaker, it will translate the window’s vibrations back into sound waves. In the show, MacGyver harvests a laser from a CD player and a photocell from a solar light. The laser must be very steady, so he uses chewing gum to stick it to the side of a car. These are the basic ingredients of a laser microphone. His rough-and-ready methods, however, wouldn’t create a very sensitive device. “You can make ones like that yourself,” Allain says, but “the components are a little more difficult.” In real life, you’d want to add an audio amplifier into the mix. For more detailed instructions, check out the DIY laser spy project designed by Lucid Science.

Fire starter

As any Boy Scout knows, building a fire from scratch is harder than it looks, especially if you’re dealing with damp wood. When he crash-lands in the woods, MacGyver’s solution is as simple as it is effective: add pine sap. The goo that oozes out of pine bark is highly flammable. So Mac slices sap from a tree trunk, sprinkles it over his kindling, and kindles a fire. “That one works just fine,” Allain says. For more details, check out Mother Earth News, which recommends that you build a cone of wood, stuff globs of sap into the center of the cone, and then light it. You can also slice sappy “pitch wood” into thin sticks with fuzzy slivers sticking out the sides and use those as fire starters. Just remember that playing with fire can be dangerous—use too much sap, and your flame might roar out of control.

Soda bottle gas mask

In the show’s third episode, MacGyver cooks up some chemical fumes to knock out his enemies, while protecting his own lungs with a gas mask made from a soda bottle. He cuts the bottle to fit his own face, holding it on and sealing it against his skin with the inner tubes from a bicycle wheel. This leaves a small opening through which to breathe—which Mac stuffs with wet newspaper. “The basic idea is to use wet paper as a filter,” Allain explains. “The rest of the mask is to make sure the air goes through the paper. It would work for some smoke, but it wouldn’t work for all gases.” So if you build your own soda bottle mask, don’t expect it to protect you from, say, tear gas or pepper spray. For more details, check out this version of the project from Instructables user frenzy, pictured above.

DIY eye in the sky

A birds-eye view of the ground lets you size up a situation and attack your enemies effectively. Without a satellite or drone to provide this context, MacGyver rigs up a rudimentary hot-air balloon. First, he uses a wire hanger to suspend an aluminum-foil platform from a dry cleaning bag. Below the platform, he attaches a cell phone that live-streams video of the ground below, and on top, he places a can of Sterno. When he lights the flame, the bag fills with hot air and starts floating, letting the phone serve as an airborne surveillance camera. There’s just one problem. Hot air, while it will indeed rise higher than cold air, cannot carry much weight—a cell phone and a can of fuel would drag it to the ground. “That’s one of those where conceptually it’s a valid idea,” Allain notes, “but in practice it would be stretching it.” Instead of Mac’s design, try building the fire balloon created by Popular Science contributor William Gurstelle and pictured in the above photo. It too involves a dry cleaning bag filled with hot air, but heats the air with a light dab of jellied alcohol instead of a can of Sterno. Just remember to follow the safety precautions Gurstelle suggests, and tether your fire-bearing balloon to the ground.

Leyden jar battery

When our precious phone batteries start dying, most people get desperate. In one episode of MacGyver, the stranded hero gets desperate enough to wander into a lightning storm. The goal: charge up a Leyden jar. “The Leyden jar is a really great piece of technology,” Allain explains. The device was one of the earliest ways scientists studied electricity—you can see the one 18th-century Italian scientist Luigi Galvani used above. “It’s a capacitor, but a lot bigger than the kind that you would see in a radio or electronics kit. One side is metal, the other is a conductor like salt water. You can put a charge into one end, and it stores it.” To rig up a Leyden jar in the wilderness, MacGyver fills a plastic water bottle with stream water salted with hickory roots. For the electrodes, he wraps handcuffs around the outside of the bottle and jabs a broken piece of metal from a downed helicopter into the water. When he takes the jar into that lightning storm, it charges up with the static electricity in the air. Then he uses the jar to charge his phone. Leyden jars can be dangerous—if you build one that’s too big, the electric shock it discharges can be strong enough to cause injury or death—but with safety precautions, you can absolutely build a Leyden jar at home. Some DIY versions even use salt water like MacGyver’s Leyden jar. Just don’t put yourself at risk of electrocution to charge it up.

Car battery arc welder

Here is where the DIY starts getting a little too dangerous to try at home. In the show’s second episode, MacGyver connects a car battery to two quarters via jumper cables. When the coins touch, electrical current passes between them, creating a super-hot arc that Mac uses to cut through a metal door. As Popular Science has documented, you can indeed turn a car battery into an arc welder capable of melting steel and fusing metal. You can see contributor Chris Hackett using this project above. But unless you know what you’re doing, you can burn yourself, electrocute yourself, and cause everything from house fires to gruesome injuries to death. So this is one of those projects that we recommend you avoid.

Thermite lance

MacGyver doesn’t need a car battery to defy steel. Stuck on a runaway train, he decides to sever the metal that connects the engine to the rest of the cars. To do so, he packs magnesium and rust shavings into a long metal rod and lights it with a road flare. Thermite burns at up to 4,000 degrees Fahrenheit, so this improvised thermite lance could get hot enough to slice through not only steel, but concrete and other materials as well. Thermite can be useful—workers use it to weld railroad ties—but it isn’t a project for amateurs. “Thermite’s a dangerous but simple thing to build,” Allain says. “It gets so damn hot—if you have a container it will melt through your container. It makes a lot of sparks, and if you don’t know what you’re doing, you could melt through yourself.” So you should skip this one as well.

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