Trending March 2024 # 7 Google Tools To Use When Conducting Keyword Research Today # Suggested April 2024 # Top 11 Popular

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Consumer behavior is changing rapidly and unpredictably during the coronavirus pandemic.

That’s why conducting keyword research is now more important than ever to understand the latest shifts in consumer intent.

Although 100% of SEO professionals worth their salt understand how to dig insights out of Google Search Console and know which keyword tools have helped them in the past to increase traffic, rankings, and visibility in search results, this is the time to think outside the search box.

Even one new insight per fortnight can help your company or clients pivot to create more relevant content as they navigate the “new normal.”

Here are some places that I now visit virtually every weekday and some tools that I’ve reached for in the toolbox that I rarely used before I had to start dealing with strange things that go bump in the night.

1. Rising Retail Categories

In May 2023, Think with Google launched an interactive tool called Rising Retail Categories to help us understand:

Fast-rising retail categories in Google Search.

The locations where they’re growing.

The queries associated with them.

For example, the top trending categories in the U.S. year-over-year include:

Sprinkler controls.

Sneeze guards.

Household disinfectants.

Neck gaiters.

Protective masks.

Or, focus on the top trending categories month-over-month to discover:

Food Container Covers (+100%).

Crayons (+100%).

Medical Equipment (+90%).

Pen & Pencil Cases (+70%).

Baby & Toddler Outerwear (+60%).

Then, tackle the top trending categories week-over-week, and examine:

Blank ID Cards (+40%).

Pie & Pastry Fillings (+30%).

Play Mats & Gyms (+30%).

Foosball Tables (+30%).

Neck Gaiters (+30%).

Chalkboards (+30%).

If your company or clients makes any of these products, this is your opportunity to spot a key trend and become a hero.

2. Coronavirus Search Trends

In March 2023, Google launched Coronavirus Search Trends.

There was a surge in search interest for the topic, coronavirus, from late February through early May.

Since then, search interest in coronavirus has fallen below the topic, weather, and is now roughly equal with search interest in the topic, news, but still remains above the topics of sports and music.

3. The U.S. Economy & COVID-19

Recently, Google has added a new section of its Coronavirus Search Trends that is focused on The U.S. Economy and COVID-19.

How has the Coronavirus pandemic affected searches around the economy?

How do they compare now to searches in the past?

Scroll down the page to see search interest in the term, recession, since 2004.

And keep scrolling down to see the spikes in search interest in other terms, like unemployment benefits, food bank, food stamps, and mortgage forbearance.

Or, look at the map of the country to see where search interest in terms like debt, bankruptcy, and “can’t pay rent” are located.

4. Shopping Insights

Google launched Shopping Insights in October 2024, but I’ve rarely used the tool before the COVID-19 recession despite the fact that it enables you to see how your company or clients stack up against your competitors, and it lets you track competing products in your category.

In these “extraordinarily uncertain” times, it’s a life saver.

Now, it’s painfully obvious that this year’s disruptions are making it hard for retailers to plan for the holidays.

But, Shopping Insights helps them stay up to date on what shoppers want and follow trends in their category.

How can Google provide these shopping insights?

According to Think with Google, in 63% of shopping scenarios, shoppers go online to conduct research before they make a purchase decision, regardless of whether they end up buying online or in a store.

With daily search data for 55,000+ products, 45,000+ brands, and nearly 5,000 categories across the U.S., Shopping Insights helps you better understand customers’ shopping intent online, and make more informed merchandising and marketing decisions across online and offline channels.

For example, the top brands in the Toys & Games category, based on data from July 17 to August 16, 2023, are:

LEGO.

Hasbro.

Mattel.

Funko.

Hot Wheels.

So, if you are planning for either Small Business Saturday or the entire Holiday Season, you know which brands to stock on your shelves.

5. Market Finder

Google launched Market Finder in November 2023, but I’ve rarely used the tool in the past.

But, it has now become a game-changer when helping clients navigate the “new normal.”

For example, I’m working with the Rutgers School of Management and Labor Relations (SMLR) to generate applications for its Online Professional Masters in Human Resource Management program.

By entering SMLR’s URL into Market Finder, I was able to calculate which regions offer the best opportunities for growth, based on key metrics for my chosen categories.

Within the United States, they are California, Texas, and Florida.

For Rutgers, which is the State University of New Jersey, this came as a major surprise, because it represents a significant shift from the geographic trends before the pandemic.

6. Google Surveys

Google Consumer Surveys was launched in March 2012. It was renamed Google Surveys in October 2024.

It’s become one of the essential tools in my toolkit for getting valuable insights into the minds of my clients’ target audiences.

If you haven’t used it yet, Google Surveys is a market research tool that gathers data from survey questions that you write.

Web users answer your survey questions in order to access high-quality content on the Google Display Network.

In turn, content publishers get paid as their users answer your questions. Google then aggregates and analyzes the responses through a simple online interface.

Yes, I also use Search Console and keyword tools. But, those tell me “what” people are searching for.

They don’t tell me “why” people are conducting those queries.

Only now, Google Surveys help me uncover search intent, which is much more valuable.

I have frequently used screening questions to ensure that the respondents to a particular survey represent the niche audience that my client is targeting, instead of anyone and everyone who used a search term.

And Google Surveys has enabled me to get answers within days instead of weeks with more traditional survey methods.

Oh, and did I mention that it was cheap?

No, it’s not free, but prices start of $0.10 per completed survey, although I typically pay about $1.50 per completed survey because I use surveys with 2 to 10 questions that are targeted at respondents of specific ages, genders, or locations.

For example, keyword research will generally help me select a keyword phrase to optimize the title and headline of a landing page.

But, Google Surveys will help me to ensure that the content on that landing page actually addresses the consumer intent behind the query.

Why is that valuable?

Because you can do more than generate organic search traffic.

7. Google Trends

Google Trends was launched in May 2005, so it’s the oldest tool on this list.

And many SEO professionals don’t use it that often because it doesn’t provide data on organic search volumes.

But these aren’t normal times.

And finding insights that can be processed within minutes of an event happening in the real world can get SEOs a seat at the table where strategic decisions are made.

For example, I just taught a course for the New Media Academy (NMA) on “Creating a Digital Marketing Strategy” to a group of more than 100 business professionals in the United Arab Emirates.

And one of the recent articles that I shared with my NMA class was entitled, How people decide what to buy lies in the ‘messy middle’ of the purchase journey.

It was written by Alistair Rennie and Jonny Protheroe, who both work on Google’s consumer insights team, and it was published last month in Think with Google.

Rennie and Protheroe used Google Trends to take a look at worldwide search interest for “best” vs. “cheap” from January 1, 2004, through July 1, 2023.

Now, I don’t know about you, but I’ve never done this particular comparison before.

And I was surprised to see that worldwide search interest for “best” has increased steadily over the past 16-and-a-half years, while worldwide search interested for “cheap” had decreased steadily over the same period of time.

Oh, and the Great Recession of 2007-2009 didn’t impact these trends at all.

Now, that’s in insight worth taking to the next Zoom meeting of your entire marketing team.

As your company or clients deal with these “extraordinarily uncertain” times, this is not time to create and optimize new content for “cheap.”

You should create and optimize new content for “best,” instead.

Why?

Because that’s what your customers are searching for.

And, even though we’re facing an unprecedented crisis, it’s worth remembering that a crisis represents both a threat and an opportunity for your company or clients.

That means this unprecedented crisis represents a threat and an opportunity for you, too.

That’s why this is no time to continue using the same old tools that you learned to use five, 10, or 15 years ago.

It’s time to explore some or all of the alternatives mentioned above.

Who knows, they may help your company or clients bounce back from the COVID-19 recession more quickly, or they may even help you bounce forward to your next promotion in a shorter period of time.

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How To Use Google Ads Keyword Forecast Tool For Predictive Keyword Research

The Google Ads Keyword Planner is a useful tool; there’s no doubt about that.

Whether you’re starting your first Google Ads campaign or your hundredth campaign, having a plan or forecast is critical.

But have you ever thought of using the Keyword Planner as a way to forecast trends in the future?

Staying ahead of the curve by predicting demand can set you apart in any competitive market.

In this post, I’ll walk through how to use the Keyword Planner tool and how to use it so your PPC and SEO efforts can work together.

What Is The Google Ads Keyword Forecast Tool?

It’s one thing to know what’s trending now.

That’s a valuable asset for any digital marketer.

But what about what will be trending tomorrow or farther into the future? How do you even predict that?

The Google Ads Keyword Forecast tool does just that.

It’s an awesome option for anyone looking to up their SEM and SEO game by narrowing down the future potential for any keywords or groups of keywords.

According to Google, it updates its forecasts daily with data from up to 10 days past.

This data includes market changes that occurred throughout this time.

It also considers seasonality, so you’re not confused by natural market fluctuations.

In short, Google Ads Keyword Forecast is a pretty cool tool.

How (& Why) To Use The Forecast Tool

The forecast tool is a multifaceted part of Google Ads, and it just goes to show how useful the Ads platform is as a whole.

It goes well beyond today’s data and delivers insights for the near future.

It can even help inform other future efforts or initiatives, as well as benefitting other channels like SEO.

So, what does this forecast tell you?

The forecast tool will help you figure out how your keywords will perform in optimal settings.

You can:

View a chart of your estimated performance.

See projections for individual keywords or grouped keywords.

View how these estimates change when you adjust your max CPC or bidding strategy.

Your forecast has a date range, and you can change the time frame to see how it affects your forecast.

There are two ways to see forecasts on Google Ads, so let’s break down the Google Ads Keyword Forecast tool for you, step by step.

How To Use It For Forecasting

Within the Google Ads Keyword Planner, you’ll find something called a forecast.

Once you’re here, you can enter an individual keyword or a group of keywords that are separated by commas or line breaks.

The three tabs are Forecasts, Saved keywords, and Negative keywords.

For the forecasting side of things, you’ll obviously want to stay under the first tab.

You’ll see a selection of forecast data based on the keywords you entered.

Automatically, Google Ads will forecast on a defaulted monthly basis:

Impressions.

Cost or your average projected spend.

Conversions.

Average cost per acquisition (CPA).

Here’s an example of what the aggregated forecast looks like based on your inputs:

You can update the date settings if you’re looking for a shorter or longer period.

In the end, you’ll be left with a pretty nifty graph and data chart that showcases future predictions (or forecasts) for your selected keywords.

This helps you determine the best plan of action for campaigns to come and even lets you know if you should adjust existing campaigns based on consumer queries and behavior.

Remember that the numbers you see associated with each metric are what you’re likely to achieve for your keywords or a group of keywords based on your ad spend.

These numbers will change if your budget changes, proving just how holistic Google’s approach really is.

However, Google clearly shows that spending more doesn’t necessarily equate to better conversions.

When you’re done, take one or all of these steps:

Download your forecast. To do this, select the download button on the page.

Think about how this fits into your paid media, SEO, and content marketing roadmap.

Is This The Only Way To See Forecasts On Google Ads?

Short answer: No, it’s not!

When you use Discover new keywords, you can:

Discover new ideas for keywords.

Edit an existing list of keywords based on what the data shows.

But in addition to these, you can also see a performance forecast once keywords are on your plan.

As an optional measure, you can create a new campaign based on positive forecasts.

Or, you can use them to beef up your existing campaigns.

If you want to add keywords to your plan from Discover new keywords so you can forecast their performance, you can follow a few simple steps:

Choose either Add to plan or Add to existing campaign.

Select Add keywords, and voila!

How To See Keyword Trends In Google Ads

The best way to see keyword trends in Google Ads is within the “Saved keywords” section from the left-hand navigation.

Average monthly searches.

Three-month change.

YoY change.

Competition (low, medium, or high).

Ad impression share.

Top-of-page bid (low and high ranges).

An example of how this would look in Google Ads is below:

Combine this historical data with forecasted projections from your Google Ads account, and you’ll have a comprehensive picture of keywords for your industry!

Note: While the Google Ads Keyword Forecast tool accounts for things like bid, budget, and seasonality, historical data doesn’t. Just keep this in mind during your comparisons.

How Google Ads Keyword Forecast Tool Fits In With The Overall Paid Media Mix

Paid media is best served holistically. PPC should not be operating in a silo.

While the Google Ads Keyword Forecast tool should be a well-used component in your marketing repertoire, it’s not your only friend.

By using all these tools combined, you can craft a well-planned, holistic marketing strategy.

Identifying core keywords and trends can help inform marketing areas such as:

PPC strategy and realistic budget.

Content and copy creation.

On-page SEO.

Fuse the Google Ads Forecast tool with other tools, like:

Google Trends

Search traffic by any given term or company.

You can compare terms and entities, plus visualize data by location, related topics, and breakout terms.

Use Google Trends to answer the question: What are some recent changes in the landscape?

Google Benchmark Report

This report lives inside Google Analytics.

The Benchmark Report looks at your individual traffic and compares it to the industry benchmark.

Remember that this benchmark comes from the overall industry, not necessarily a particular niche within that sector.

You’ll see how you stack up against national players in the game.

The most useful part of this report for you is comparing your own historical and current data, so you can see just how far you’ve come.

Google Ads Automated Insights

This is a recent development from Google.

Using the power of Google Trends, it imports relevant data into your Google Ads account.

With that data in hand, you can see breakout terms and their forecasted growth.

It’s a super-powerful addition that can potentially improve business and marketing planning by a landslide.

If there were ever a way to slide into a new category before the competition, this is it.

Semrush Data

Learn today’s keyword search volume and compare it monthly for the last six months.

You’ll know what the search volume used to look like and use that data to determine what keywords you should be focusing on now and in the future.

Their keyword planner also offers forecasts, so that’s another tool you can add to your toolbox.

Google Intelligence Events

Using artificial intelligence, Google Intelligence Events tells you if there’s a marked change (either up or down) in your site traffic.

You can even select your own events to automate tailored insight.

A cohesive combination of tools will help you boost your business like the pro you are.

Keep in mind these are just a handful of tools — you’ll find plenty more to back you up along the way.

Conclusion

The Google Ads Keyword Planner Forecast tool has a wealth of information.

Whether you’re looking to add new keywords to your campaign mix or understand future trends for your existing campaigns, this tool has it all.

Not only are the forecast trends important, but what’s even more important is how you use the data.

Forecasting trends helps more than just identifying competition and potential budget; when coupled with other tools, it helps you create a powerful, holistic marketing plan.

Use these tools to help you stay ahead of the game and keep a leg up on your competitors.

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Featured Image: fizkes/Shutterstock

Yahoo Site Explorer Alternative – Link Research Tools Introduces Qbl

This is a sponsored post.

The shutdown of Yahoo Site Explorer brought us QBL, the 10-second-car for Backlink Analysis

It’s been a while since our last review of the Link Research Tools back in March and I want to thank you guys again for the massive feedback. Since then, a lot has happened in SEO, most recently the shutdown of the perhaps most-used SEO Tool out there, Yahoo’s Site Explorer. Even more has happened in the product development of Link Research Tools (we could write about them improving the product on a monthly basis!) but this time we really have to mention their latest and greatest tool launch.

Link Building Wonder Weapon

The new tool QBL is part of the whole product, but is also available stand-alone in the new Quick -Account with an introduction pricing (ends March 1) of an average breakfast at Starbucks.

Link Boost adds 7500 more links

Before we talk more about QBL, their Link Boost was also recently announced, a feature that lets you analyze up to 7’500 additional backlinks in their Backlink Profiler tool the full HD supersize-me link profiling software that aggregates 53 SEO metrics for every link (!).

Quick Backlinks

The new tool Quick Backlinks or QBL was launched as Yahoo Site Explorer replacement on Dec 5 and aims as an immediate plugin-in to replace the Yahoo Site Explorer for the masses. Dave Naylor’s team has been raving about it and compared it to a Lamborghini. Well said.

For every link the QBL immediately shows you:

The exact target URL (and you can filter and group by that also with wildcards)

A new Link Power metric (the strongest links are shown on top)

The type of link – text or image links and even fancy stuff like redirects, frames, canonicals

If they’re FOLLOW or NOFOLLOW links

How many links go to your domain from the linking domain

How many linking domains there are to each of your links (Domain Pop, Linking Root Domains)

The well-known and still-much-used Alexa rank

The IP address (you can filter by IP addresses and class-C blocks in a breeze!)

The country in which the linking domains are hosted

The interface is as simple as it could be. You enter a URL, you get results.

The QBL visualizes your link data in an easy understandable way supported by nice looking charts. If you’re not into sifting through all the links individually, the charts which are part of the QBL help you get a quick overview quickly.

Searching through the link data in detail is made easy by a wide range of easy-to-understand filtering and sorting features.

If you would like to know more about the handling of the tool I’ll recommend you to watch the video we included from the vendor’s site. It’s brief and easy to follow.

Something to mention is that Christoph and his team did a pre-launch waiting list and gave away a hundred or so accounts at launch date. Today the tweeted signup page is still up and after checking with them they plan to eventually send out more free accounts when resources allow. That’s worth a try, no?

I’d love to hear your feedback on this new tool.

When To Use Data Science In Seo

Data science comes closer to SEO every day.

Data science, and more exactly artificial intelligence, isn’t new, but it has become trendy in our industry over the past few years.

In this article, I will briefly introduce the main concepts of data science through machine learning and also answer the following questions:

When can data science be used in SEO?

Is data science just a buzzword in the industry?

How and why should it be used?

A Brief Introduction to Data Science

Data science crosses paths with both big data and artificial intelligence when it comes to analyzing and processing data known as datasets.

Google Trends does a pretty good job of illustrating that data science, as a subject of intent, has been increasing over the years since 2004.

The user intent for “machine learning” has been increasing as well, and is one of the most popular search queries.

This is also one of the two ways for operating artificial intelligence and what this article will focus on.

What Is the Concrete Relationship Between Artificial Intelligence & Google?

Back in 2011, Google created Google Brain, a team dedicated to artificial intelligence.

The main objective of Google Brain is to transform Google’s products from the inside and to use artificial intelligence to make them “faster, smarter and more useful.”

We easily understand that the search engine is their most powerful tool and considering its market share (95% of users use Google as their main search engine), it comes as no surprise that artificial intelligence is being used to improve the quality of the search engine.

What Is Machine Learning?

Machine learning is one of the two types of learning that powers artificial intelligence.

Machine learning tends to solve a problem through a frame of reference and the output is checked by a human being, as it always comes with a certain percentage of error.

Google explains machine learning as follows:

“A program or system that builds (trains) a predictive model from input data. The system uses the learned model to make useful predictions from new (never-before-seen) data drawn from the same distribution as the one used to train the model. Machine learning also refers to the field of study concerned with these programs or systems.”

More simply, machine learning algorithms receive training data.

In the example below, this training data is photos of cats and dogs.

Then, the algorithm trains itself in order to understand and identify the different patterns.

The more the algorithm is trained, the better the accuracy of the results will be.

Then, if you ask the model to classify a new picture, you will obtain the proper answer.

Google Images is certainly the best example to reproduce this explanation.

What Is the Concrete Relationship Between Artificial Intelligence & SEO?

Back in 2024 – and to limit this discussion to the main algorithms – RankBrain was rolled out in order to improve the quality of the search results.

As about 15% of queries have never been searched for before, the aim was to automatically understand best the query in order to produce relevant results.

RankBrain was developed by Google Brain.

Then, in 2023, BERT was introduced to better understand search queries.

As SEO professionals, it is important to note that we can not optimize a website for either RankBrain or BERT as they are designed to better understand and answer search queries.

To resume, these algorithms are involved in processes that don’t affect how websites are evaluated or matched to queries. There is no way of optimizing for them.

Still, as Google uses machine learning, it is important to know more about this field and also to be able to use it: it can help run your daily SEO operations.

What Is the Value of Machine Learning to SEO?

The following can be seen as valuable areas for applying machine learning to SEO according to my experience:

Prediction.

Generation.

Automation.

The above can help to save time on your daily operations and also convince the decision-makers in your organization.

From there, the rest of the article may convince you (as I am convinced) or leave you doubtful.

Either way, the following parts will certainly interest you.

Prediction

Prediction algorithms can be helpful to prioritize your roadmap by highlighting keywords.

The above is available thanks to an open-source code written by Mark Edmonson.

The idea is to make the following assumption: if I were ranking first for these keywords, what would be my revenue?

It then gives you your current position and the potential revenue you could get by taking into account an error margin.

It can help convince your higher-ups to focus on some specific keywords but also can appeal to your client (if you’re working as a consultant or in an agency).

Generation

Writing content is certainly one of the most time-consuming tasks in SEO.

Either you write the content yourself or you need, at a minimum, to write a brief.

In both cases, it is sometimes hard to find the inspiration to work efficiently.

This is why the automatic generation of content is valuable.

As I already said, machine learning comes with an error margin.

That is why this kind of content automation needs to be seen as producing an initial editorial framework.

I’ve shared some sample source code available here.

Also, getting a first automated draft of editorial content can help you semi-automate your internal linking by allowing you to highlight, manually, your top and secondary anchor tags.

Automation

Automation is helpful to label images and eventually video by using an object detection algorithm as seen on TensorFlow.

This algorithm can help label images, so it can optimize alt attributes pretty easily.

Also, the automation process can be used for A/B testing as it is pretty simple to make some basic changes on a page.

In this case, the idea would be to automate A/B testing thanks to the content generation and update it based on the expected performance.

More Resources:

Image Credits

All screenshots taken by author, December 2023

When Google Maps Struggles, Citymapper Comes To My Rescue

Calvin Wankhede / Android Authority

Most of us have probably found ourselves in a busy, bustling city at some point in our lives. The last time I did, I was on vacation in Hong Kong, completely unfamiliar with the city’s maze of transportation options that ranged from trams to ferries. While I intended to rely on Google Maps for the trip, a friend also recommended I mix it up with Citymapper. Looking back now, that recommendation was worth its weight in gold — I think Citymapper is the best Google Maps alternative for getting around a big city, especially if you’re on a holiday.

Despite what my praise for the app would have you believe, I’d never even heard of Citymapper prior to that Hong Kong trip. It’s not hard to see why, though. The app doesn’t do anything unless you’re in a supported city, and those are especially hard to come by in Asia. Coverage is largely absent outside of large metropolitan areas like Singapore and Tokyo. That said, the app does work across most of the US and Europe. Still, if you’re coming from an unsupported city, you wouldn’t know to use it unless you get a helpful tip like I did.

Limiting coverage to big cities is intentional, though. Citymapper doesn’t offer driving directions at all, so it’s practically useless if you’re using a car to get around. Instead, it focuses on just one aspect of transport: mass transit. Think of it as the opposite of Waze, but just as effective.

Open the Maps app on your phone and you’re presented with a fairly familiar interface. You get a search bar at the top, a full-screen map view of the area you’re currently in, and a few buttons to find nearby restaurants or parking spots. Citymapper, on the other hand, offers transit buttons and absolutely nothing else. You can’t tap on a business for more information, peruse restaurant menus, or get any form of personalized recommendations like you would in other mapping apps.

That alone highlights a key distinction between the two apps. While Google prods you to discover new places and see what’s around you, Citymapper doesn’t care about any of that. In fact, the only thing it can do is get you from point A to point B.

Why Citymapper is the best Google Maps alternative

Citymapper also manages to be far more informative than the competition. As a tourist in a new city, I often don’t know what to expect. How much change do I need to keep ready for my next bus ride? Will it be faster to rent a nearby bicycle or moped? Do any ride-sharing services operate in this city? Citymapper shows you all of this information on a single screen. Just look at the staggering number of options in London, most of which are absent in Google Maps.

Citymapper vs. Google Maps: Key differences

In summary, here’s how Citymapper holds up against Google Maps and differs in terms of featureset.

Praise aside, I’ll admit that Citymapper isn’t a full-fledged replacement for your current mapping app of choice. It’s also worth acknowledging the possibility that someone may have had the opposite experience as mine. Google Maps or a different app could very well serve more accurate transit information; I just haven’t seen it happen yet.

Have you used Citymapper for public transport directions?

325 votes

You also can’t use Citymapper to decide where you should spend your evening. Google will happily point you to dozens or even hundreds of bars in your vicinity. And more importantly, it can offer reliable turn-by-turn navigation for when you have your own vehicle. Having said that, if you’re committed to public transport and have never tried Citymapper on your travels, I highly recommend giving it a go on your next trip. It may very well save you a lot of confused wandering and frustration.

When To Use Fragments Vs Activities In Android App?

Introduction

Android apps are created using a variety of components and tools, including activities and fragments. Knowing when to use a fragment versus an activity is key to developing an efficient and successful app. This article will explore the differences between activities and fragments, and guide developers in determining when to use which tool.

What is Activity in Android?

An activity is the most basic form of an Android app. It typically represents a single screen with a user interface, and is used to create a basic user experience. Activities are typically used to launch and manage other components of an app, such as launching a new screen or passing data between screens. Activities can also respond to user input and perform actions, such as launching other activities or starting a service.

What is Fragment in Android?

Fragments, on the other hand, are small pieces of code that are used to build a user interface within an activity. Fragments are typically used to break-up a complex user interface into smaller, more manageable pieces. They can also be used to add functionality to an existing activity or to provide a common user interface across multiple activities. Fragments can contain their own user interface elements, respond to user input, and communicate with other parts of the app.

Difference between Fragment and Activities

Fragment

Activities

Fragment is a part of a specific activity which contains UI of that specific activity.

Activity provides a user interface with which users can interact with any android application.

Fragment is dependent on the activity.

Activity is independent.

Fragment is lightweight and easy to manage.

Activity is comparatively heavy to manage.

Fragments need not to be mentioned in our chúng tôi file.

We have to mention the activity inside our chúng tôi file.

Fragment lifecycle is decided by the activity in which it is hosted.

Activity is having their own lifecycle.

Fragments cannot exist without Activity.

Activity can be created without Fragment.

We can display multiple fragments in a single activity.

At a time we can only display one activity to the user.

When to use Fragment VS Activity in Android application?

When deciding whether to use a fragment or an activity, consider the complexity of the user interface. If the user interface is relatively simple and only requires one screen, then an activity is likely the best choice. Activities are also ideal for launching other components of the app, such as starting a service or launching another activity.

Fragments, however, should be used when the user interface is more complex and requires multiple screens. Fragments can be used to break up a complex user interface into smaller and more manageable pieces, allowing the user to quickly and easily navigate the app. Fragments can also be used to add functionality to an existing activity or to provide a common user interface across multiple activities.

In addition, consider the type of data being passed between screens. If the data is relatively small and simple, then an activity is likely the best choice. Fragments, however, should be used if the data is more complex and requires multiple screens. Fragments allow the user to quickly and easily navigate the app, while also providing an efficient way to pass data between screens.

Finally, consider the user experience. Activities are ideal for providing a basic user experience, as they are relatively simple and can quickly and easily launch other components of the app. Fragments, however, can be used to provide a more complex user experience, as they can be used to create a more complex user interface and to pass complex data between screens.

Conclusion

In conclusion, knowing when to use a fragment versus an activity is key to developing an efficient and successful app. Activities are typically used for simple user interfaces and for launching other components of the app, while fragments are used for more complex user interfaces and for passing complex data between screens. By understanding the differences between activities and fragments, developers can better determine when to use each tool in order to create an efficient and effective app.

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