How to Lock Cells in Google Sheets

Imagine spending hours creating a Google Sheet to share with your team, only to find that a team member accidentally deleted an important column, row, cell, or, even worse — an entire sheet.

That can be frustrating. However, it’s entirely preventable if you lock cells in Google Sheets.

As it turns out, with just a few clicks of a mouse, you can lock cells and entire sheets in Google Sheets — meaning, you and your team can work on the same sheet without hindering the next person from completing their assigned tasks.

In this post, we’ll go over how to lock and unlock cells in Google Sheets.

Table of Contents

The Benefits of Locking Cells in Google Sheets
How to Lock Specific Cells in Google Sheets
How to Lock Cells and Give Editing Permissions to Select Users
How to Lock an Entire Sheet
How to Show a Warning but Allow Editing of a Locked Cell
How to Unlock Cells

The Benefits of Locking Cells in Google Sheets

Google Sheets allows users to lock cells from editing, which means you can protect your Sheet from any potential accidents, including editing and deletion.

You can also protect important data and calculations, so you can rest easy knowing the formulas in your Sheet are correct and accurate.

The ability to lock cells in Google Sheets comes with a variety of benefits.

Not only can you lock cells from editing, but you can also control which team members can edit your document — right down to the very cells those team members are allowed to manipulate.

This is extremely helpful if multiple team members are working on the same Sheet at once. You can also copy permissions from other sheets, if you have locked cells in other Sheets.

Let’s take a look at the steps to lock cells in Google Sheets.

How to Lock Specific Cells in Google Sheets

Locking specific cells in Google Sheets is a simple task. Here’s how to do it:

1. Right-click on the cell you want to lock.

After opening a new Google Sheet (or a Sheet you have already been working in), right-click on the cell or cells you want to lock.

2. Hover over “View more cell actions.”

This option is listed at the bottom of the dropdown menu.

Depending on where your cells are located in the Sheet, you may need to scroll down until you see it. When you see it, hover over the “View more cell actions” to open up another menu.

3. Select “Protect range.”

The next menu will give you several more cell actions. Look for the action labeled “Protect range.” Choose “Protect range” to begin assigning cells to a locked status.

Alternatively, you can perform the same task by clicking on the Data tab and choosing “Protect sheets and ranges.”

4. Choose “Add a sheet or range” from the side panel.

After clicking “Protect range” from the dropdown menu or “Protect sheets and ranges” from the Data tab, you will notice the open side panel on the right of your screen. Click on “Add a sheet or range.”

5. Choose which cells to lock.

Next, decide which cells to lock from editing. If you click the cell you want to lock, that cell’s information will be referenced in the range section. If you need to lock a range of cells, enter the range into the field.

6. Select “Set permissions.”

Select “Set permissions” to choose who can edit the selected cells. If you’re the only person allowed to edit the cell, make sure you choose “only you.”

You can also copy permissions from other sheets, if you have locked cells in other Sheets.

7. Select “Done.”

Once you’re finished locking cells from editing, click “Done” to save your preferences. Now, those cells are locked from editing until you unlock them and change the settings.

How to Lock Cells and Give Editing Permission to Select Users

If you and your team are working in a Google Sheet, consider giving editing permissions to select users. This will help you assign tasks and better manage your project and keep others from accidentally deleting important work.

To lock cells and give editing permission to select users, follow these steps.

1. Right-click the selected cells.

Choose the cell or cells you would like to restrict. Then, right-click to open up the dropdown menu.

2. Hover “View more cell actions.”

Scroll or look to the bottom of the dropdown menu and hover over “View more cell actions.” This will open another menu on your screen.

3. Select “Protect range.”

To change a cell’s editing status, choose “Protect range.” This action will open a side panel menu.

4. Click “Add a sheet or range” from the side panel.

In the side panel, click “Add a sheet or range.” Clicking this button will allow you to enter which cells or sheets to lock.

5. Choose which cells to lock.

Determine which cells your team member needs to perform their assigned task. Then, enter the range of cells into the box.

6. Select “Set permissions.”

Once you’ve entered the desired cells in the box, you’ll need to set editing restrictions. To restrict access to the range of cells, click “Set permissions.”

7. Choose “Custom.”

From this screen, you have the option to decide who has permission to edit the range of cells. To add a team member or multiple team members, click “Custom.”

8. Assign editors to cells.

Now, you can decide who needs editing access to the range of cells you have specified. Enter the email addresses of your team members to assign them as editors of the cells. This will give them editing access to designated cells within the sheet.

Be sure to click “Done” to save the range editing permissions.

How to Lock an Entire Sheet

There may be times you will need to lock an entire sheet from editing. Thankfully, this is a simple process.

To lock an entire sheet, you can right-click on any cell within the document to open the dropdown menu. You’ll take the same steps to lock an entire sheet as you did with locking just one cell.

Here’s how to do it:

1. Right-click on any cell.

Right-click on any cell in your Google Sheet to open a drop-down menu. To lock an entire sheet, it does not matter which cell you use to do this.

2. Hover over “View more cell actions.”

Choose the “View more cell actions” option at the bottom of the dropdown menu. You do not need to click. Just hover over it to open another menu.

3. Select “Protect range.”

Click “Protect range” to open the permissions side panel. Alternatively, you can reach the “Protected sheets and ranges” side panel by clicking on the Data tab and selecting “Protect sheets and ranges.”

4. Choose “Add a sheet or range” from the side panel.

Click “Add a sheet or range” to begin locking an entire sheet.

5. Click on “Sheet.”

Click on the “Sheet” button to lock an entire sheet. Once you’re in the Sheet tab, select which Sheet you would like to lock.

ou have the option to exclude certain cells from being locked. If you need certain cells open for editing, click the box for “Except certain cells” and specify the range.

6. Select “Set permissions.”

Before you can lock your Sheet, you need to set editing permissions. Select “Set permissions” to choose who can edit the locked Sheet. If you are the only person allowed to edit the sheet, make sure you choose “Only you.”

Once you’ve determined who has editing permissions for your Sheet, either just you or members of your team, be sure to hit “Done” to save the permissions. Now your Sheet is locked and cannot be edited without permission.

How to Show a Warning but Allow Editing of Locked Cells

If you’re working on a document simultaneously with team members and you don’t want your cells to be modified, you can allow users to receive a warning before accepting their edits.

To show a warning, follow these steps:

1. Right-click on the cells you want to lock.

In your Google Sheet, right-click on the cells you want to lock. You can set a warning for an entire Sheet by following this process as well.

2. Hover over “View more cell actions.”

Scroll to the bottom of the menu and hover over “View more cell actions.”

3. Select “Protect range.”

To set an editing warning on certain cells or your Sheet, click “Protect range” to assign cells or a Sheet to a warning status.

4. Choose “Add a sheet or range” from the side panel.

On the right of your screen, you will see an open side panel menu. Click “Add a sheet or range.”

5. Choose which cells or sheet to set an editing warning.

You can set an editing warning for a range of cells or an entire sheet. In the side panel, determine which cells or sheets need a warning and make sure the information referenced in the box matches your desired cells or sheet.

6. Select “Set permissions.”

After you have verified which cells or sheets should have an editing warning, click “Set permissions” to go to the editing preference screen.

7. Choose “Show a warning when editing this range.”

Select “Show a warning when editing this range,” then hit “Done” to save your editing permissions.

If a user tries to make changes in the semi-locked cell or Sheet, they will receive a warning message as a heads-up. Users must either click “Cancel” or “Ok” to make changes or revert to the original document.

How to Unlock Cells

Locking a cell or a Sheet is extremely helpful in maintaining the integrity of your data. But, there will be times when you will need to unlock a cell to update or change the information within it.

Now that you understand how to lock cells, let’s take a look at how to unlock them.

1. Right-click on the cells you want to unlock.

In your Google Sheet, right-click on the cell you need to unlock. This action opens a dropdown menu.

2. Hover over “View more cell actions.”

Look for the “View more cell actions” option in the drop-down menu. This option is located at the bottom of the dropdown menu. When you find it, hover your mouse over the action.

3. Select “Protect range.”

Like locking a cell, you will still need to click on the “Protect range” option. This will open a side panel menu where you can choose to unlock the cell.

4. Click on the locked cell.

In the side panel menu, you will see a list of locked cells within your Sheet. Click on the cell or cell range that you wish to unlock.

5. Click the trashcan icon.

Next, click on the trashcan icon to the side of the description box.

6. Select “Remove.”

A warning screen will pop up asking if you want to remove the protected range. If you are sure you want to unlock the cell, click the “Remove” button.

Once you click the button, your cell is free to be edited by anyone with editing permission for the document.

Locking Cells in Google Sheets

And there you have it! Be sure to take some time to set editing preferences and assign certain cells or sheets to your team.

Once you’ve done that, you and your team can confidently work on the same Google Sheet without worrying someone will accidentally edit or delete important information.

AI Marketing — The Complete Guide

ChatGPT has entered the chat, bringing the resurgence of the conversation around artificial intelligence (AI) and marketing.

It seemed like AI marketing as a concept had stalled, but in 2023 it’s more popular than ever, leaving everyone wondering, “How can marketers use AI?” Today, we’re going to answer that question.

We’ll cover what AI marketing is, how to use it, examples, pros and cons, and marketing strategies that benefit from AI. Let’s dive in.

Table of Contents

What is AI marketing?
How do marketers use AI?
Examples of AI Marketing
AI Marketing Pros and Cons
Marketing Strategies That Use AI

To use AI in marketing, typically, the AI will collect data, learn customer behaviors, and analyze this information to help a business achieve its goals. AI can even reach out to customers who do a specific behavior on your website, like clicking a button or liking social media posts.

There are several AI tools and software marketers can use that will trigger automated responses for your customers. AI marketing is used for data analysis, media buying, content generation, personalization, and more. Now, let’s dive into how marketers use AI.

Pro tip: If you’re a HubSpot user, check out our new AI tools. We have a new content assistant and ChatSpot tools to streamline your day-to-day. Plus, many of our features use AI, including SEO, call recordings, social media, data management, and more.

Get started with HubSpot content assistant.

How do marketers use AI?

AI has been a growing industry and topic of conversation for the better part of a decade. In fact, there was a 27% reported increase in implementing AI or machine learning into companies’ marketing toolkits.

The top three reported uses for AI in marketing were content personalization, predictive analytics for customer insights, and targeting decisions. Below, we’ll dive into some of the use cases for AI in marketing.

When to Use AI Marketing

1. Content Personalization

One of the ways to use AI in marketing is to personalize content. This means AI can change the customer’s experience depending on their online behavior or whether or not they’ve filled out a form for your company.

For example, dynamic content changes depending on the user — their name, occupation, online behavior, etc. AI analyzes a user online and gives them a more personal experience with marketing assets, including web pages, social media posts, and emails.

6Sense is a helpful tool that leverages AI to sift through intent data. You can then understand who in your audience is looking to make a purchase so you can personalize the marketing experience.

2. Data Analytics

Data analytics is one of the main uses of AI in marketing. AI can collect and sift through large amounts of data from several marketing campaigns and summarize the findings.

AI can predict the outcome of marketing campaigns by using historical data, such as consumer engagement metrics, purchases, time-on-page, email opens, and more.

This will help you save time when strategizing and developing marketing assets for your campaigns.

Pro tip: HubSpot Sales Hub has conversational intelligence capabilities to help you understand how your team performs on customer calls through data-driven insights. Learn how to use account-based marketing recommendations powered by AI. 

3. Content Generation

AI can also be used to help generate content. It can help develop captions, social media posts, email subject lines, and even blog copy.

We’ve all seen how AI can write articles when given a certain subject. Still, it’s important to note that most AI-generated content isn’t ready for publishing immediately.

Most marketers today use generative AI to recommend content and generate portions of an article. They then fact-check, edit, and adjust AI’s writing to make it sound more human.

The best way to use AI in content generation is to help get you started. The best, high-quality content is produced by marketers using insights from AI to create content faster.

Pro tip: HubSpot has an AI-powered content assistant that can help you generate blog ideas, create outlines, and write blogs or marketing emails.

4. Media Buying

Another way to use AI in marketing is through media buying. AI technology can predict the most effective ad and media placements to reach a target audience and maximize ROI.

To implement this tactic, use AI software specifically made to help your media buying team. Pattern89 is one example. This AI marketing tool provides recommendations on your ad spend and enables you to target the right audience to increase performance.

Additionally, if you use Google Ads, you’re already encountering the AI that helps with the auction process.

5. Chatbots

One use of AI in marketing that we’ve seen for years is chatbots. Chatbots, created with natural language processing (NLP), can solve quick problems for customers, help nurture leads, answer repeated questions, and more.

A chatbot can personalize the customer journey during the stage when they’re consuming marketing content. This tool can also answer customer questions.

Let’s look at Drift. The company has trained its chatbot to answer questions, even if it’s outside a pre-programmed path. This way, if a person has a question that isn’t loaded into the system, the user will still get an answer.

Pro tip: Looking to better understand how AI-powered chatbots can answer customer questions? HubSpot Academy can help. This course describes the difference between rule-based and AI-powered chatbots.

6. Automated Email Marketing Campaigns

Automated email marketing has also been around for years. But AI tools can help produce more engaging email content and learn about your email list behaviors.

The goal is to have your marketers spend less time researching and brainstorming so they can focus on sending successful campaigns. As AI expands and improves, automated email marketing software becomes even more important to include in your marketing stack.

HubSpot Content Assistant can help you create marketing emails. Write a prompt about what you’d like to promote — from a discount to a webinar to a blog post — and AI can generate a message with the right tone.

7. Forecasting Sales

A great use of AI in marketing is to forecast sales.

Now you might think that has more to do with sales than marketing. However, AI can help marketers understand the predicted outcome of their campaigns and marketing assets.

This insight can help marketers develop better campaigns that actually produce sales and ROI.

8. Improving Customer Experience

Marketing is all about the customer experience, and AI can help marketers deliver the best experience for their visitors to convert them into leads.

AI can help increase customer retention and loyalty, delight customers with personalized content, and improve assets.

9. SEO

One of the most significant advantages AI can bring to SEO is the ability to optimize content for search engines. AI algorithms can analyze website traffic, identify keywords that can help improve search engine rankings, and track competitors’ activity.

Plus, using AI-powered tools, marketers can learn about their audience’s preferences and customize their content to match their interests.

To learn more about how AI can impact your SEO efforts, visit HubSpot Academy. Our Keyword Research for SEO course includes information on how search engines leverage AI to suggest related searches by keywords.

Examples of AI Marketing

At this point, you might be wondering, “Okay, but how does this look in practice?” Let’s review some real-life examples of how big media companies have used AI in their marketing.

1. Netflix

If you’re in marketing, you know you have to deliver the right message to the right person at the right time. Netflix uses AI to do this. How?

On a Netflix Tech Blog, the company explains how it uses previous viewing history to determine the artwork for recommended movies or TV shows.

For example, if you’ve watched a lot of one actor’s movies, they might recommend another movie they’re in. But if the artwork doesn’t show off the actor, you may click away. So, when the movie is recommended to this specific viewer, the artwork will showcase that actor.

Or maybe a viewer tends to watch more comedies than romances. When Netflix recommends a movie, they might change the artwork to show off comedic scenes versus romantic moments from the film.

Let’s take a look at how Netflix would recommend the movie Good Will Hunting to someone who watches romance movies versus the artwork they’d use to recommend the movie to someone who watches comedies.

Image Source

So, why does Netflix do this? The goal is to increase conversion rates and improve the customer experience on their platform.

2. Spotify

Spotify uses a similar approach to Netflix. The company will use AI to understand a user’s music interests, podcast favorites, purchase history, location, brand interactions, and more.

Then, customized playlists and recommendations are curated for each user.

This type of content personalization has helped major media companies like Spotify become top streaming platforms. But the personalization doesn’t end there.

Spotify will also send automated email marketing messages with personalized recommendations.

The goal? Create automated marketing messages and assets that will convert a user because the message is specific to that customer.

3. Amazon

Two major use cases for AI in marketing are forecasting sales and analyzing data. Amazon uses AI to do just that.

When you go on Amazon, there is a recommended products section that uses predictive analytics to determine if a customer is likely to make a purchase.

This helps the marketing teams at Amazon know what products to place in front of which customers. Plus, they can predict how well a product will sell based on their recommended product campaigns.

This type of AI helps increase conversions, improve customer satisfaction, and measure the overall success and ROI of various marketing campaigns.

AI Marketing Pros and Cons

We’ve covered a lot so far, including what AI marketing looks like in the real world. However, is this something you should implement at your company? Below, we’ll discuss some of the advantages and disadvantages of AI marketing.

AI Marketing Advantages

1. Increase your ROI.

As you can see from the examples above, the main goal of using AI in marketing is to increase ROI and build campaigns that are easier to track.

The data analytics and insight AI provides can be leveraged to produce better marketing assets and improve your campaigns in real time.

This will save your marketing team time and money, allowing them to work more efficiently and increase profits.

2. Improve customer relationships.

Another advantage is that using AI in marketing can help improve your relationship with your customers.

The more personalized your recommendations are and the deeper your relationship with your customer is, the more likely they’ll become repeat purchasers. This happens through AI’s ability to personalize marketing assets and content in real time.

Additionally, AI can identify customers at risk of churning and put them in an automated marketing campaign to get them to re-engage with your company.

3. Make better, strategic marketing decisions.

AI is becoming more popular in marketing, culminating in the ability to make better strategic marketing decisions. As your company and marketing team grows, scaling has never been more important (but also, it’s never been more difficult).

AI can make scaling your business easier, using data to analyze, predict, and create marketing assets that sell. See how your team can use artificial intelligence and automation in this course from HubSpot Academy. 

AI Marketing Disadvantages

1. Content quality.

If you’re going to use AI to generate content without having a human edit it, you’re going to see a drop in the quality of your content. The success of AI is reliant on high-quality data that is accurate and timely.

Without a human editor, AI can produce content with factual inaccuracies, bias, or a divergent tone from your brand. Using AI requires human oversight so these types of mistakes don’t happen.

2. Privacy.

As marketing assets have become more personalized through the years, customers are beginning to value privacy more and more. With AI, some of these techniques require using a customer’s cookies and previous internet behavior to predict future purchases.

If your marketing team downloads and uses AI software, you’ll need to be sure you comply with privacy laws, such as GDPR.

3. Evaluating non-quantifiable KPIs.

It might be hard to get buy-in to invest in AI at your company because there are non-quantifiable KPIs at play.

Certain metrics will be easy to track, but others — like improving the customer experience, increasing brand awareness, or improving reputation — will be much harder. That’s why it’s important to have the right measurement tools in place.

Marketing Strategies That Use AI

Many marketing strategies take advantage of AI. Consider whether your team could benefit from some (or all) of these tactics. These strategies include:

Content marketing. Whether it’s for content generation or personalization, AI can help your team produce more content in less time. Personalization software may be just the thing your brand needs.
Product marketing. By tracking user behavior, AI can make recommendations for customers and predict purchases. AI can keep your brand top of mind while you engage in other tasks that AI can’t perform.
Email marketing. AI can help you produce lead-nurturing marketing emails and analyze past email behaviors and performance. It can send automatic emails based on customer behavior and flag outstanding emails and those needing work.
Advertising. AI can take care of buying media ads, whether it’s display ads, PPC, or paid social, so the content you’ve crafted can make it to your target audience.

Remember: AI should help your team level up their operations. Human input and editing will always be part of the process.

Critical thinking skills should be positioned alongside AI content. to empower your team to engage AI effectively and accurately. Learn best practices for critical thinking and problem-solving in the workplace. 

Harnessing the Power of AI

Marketing teams can scale their operations with AI, and it doesn’t have to break the bank. However, it’s important to keep in mind the limitations of AI, even as the technology continues to get better over time in the changing marketing landscape.

While you might be able to use it to aid several marketing campaigns (and should), it isn’t replacing marketers just yet.

AI Marketing Automation: What Marketers Need to Know

Artificial Intelligence continues solidifying itself as a crucial tool within the marketing industry, especially regarding automation.

In fact, the market for artificial intelligence in marketing is expected to grow to more than $107.5 billion by 2028 — a huge leap from $15.84 billion in 2021.

So, marketers must stay current on the many ways AI marketing automation can and should be used to remain competitive. To keep you in the loop, here’s a breakdown of AI’s role in marketing automation and how marketers can leverage it.

How is AI driving marketing automation?

Why Marketers Should Use AI in Marketing Automation

Ways Use AI in Marketing Automation

Successfully implementing AI Marketing Automation

How is AI driving marketing automation?

At its core, AI uses machine learning to mimic how humans learn and improve accuracy by analyzing large stacks of data. When applied to marketing automation, AI analyzes vast data sets to pinpoint patterns, predict customer behavior, and make immediate decisions.

As a result, AI and machine learning algorithms are helping marketers automate and optimize tasks that would otherwise be tedious, time-consuming, and expensive. So, it’s no surprise that AI marketing automation is here to stay.

In 2020, the global market for marketing automation was $4,438.7 million, and it’s expected to grow to $14,180.6 million by 2030. Moreover, the top 28% of businesses actively use marketing automation and AI tools in their process.

Why Marketers Should Use AI in Marketing Automation

AI-powered marketing automation can streamline marketing processes. This gives marketers the time and space to focus on other aspects of their job — such as brainstorming and strategizing.

AI marketing automation also makes sending personalized content to customers easier, thanks to data and algorithms. Other benefits include cost efficiency and optimization of ROI.

Automating repetitive tasks can save money. For example, using AI chatbots to communicate with customers would eliminate the need for human customer service agents, which can save costs over time.

And companies that implement AI in marketing see an average increase in ROI of up to 30%, according to a study by Accenture.

Ways Use AI in Marketing Automation

Below are some ways marketers can leverage AI to automate their processes.

Personalization

McKinsey’s Next in Personalization Report shows 71% of consumers expect companies to provide personalized interactions. Furthermore, 76% of consumers experience frustration when they don’t receive personalized interactions.

Creating personalized experiences for all of your customers can be tedious, time-consuming, and unrealistic without automation.

AI can automate the process by analyzing customer data and behaviors and using that information to tailor each customer’s experience.

For example, Whole Foods leverages AI to provide customers with personalized messaging.

In 2021, Whole Foods opened several Just Walk Out stores across the U.S. The stores allow customers to pick up their items and leave without stopping at a register.

Instead, the items are charged via AI. The purchase information gathered by the AI is then used to identify patterns and predict future behaviors. This allows the AI to send personalized messages to customers.

So, if a customer purchases frozen vegan dinners, Whole Foods could send promo codes and discounts for other vegan products.

Email Automation

Marketers can send tons of emails to potential leads, but it can take significant time away from more big-picture duties. Your company can quickly send thousands of personalized emails using AI for marketing email automation.

This is especially helpful as your email list grows because who has time to send 200,000 emails multiple times a week?

Furthermore, AI can analyze the performance of your emails in real time, and you can use the data to improve your next set of emails.

Lead Scoring and Nurturing

AI can quickly and efficiently analyze data to determine which leads will likely become customers. With AI, marketers can save time and money on lead scoring while improving their leads’ quality.

AI can also automate the lead nurturing process by effectively guiding leads through the sales funnel until they are ready to purchase, boosting conversion rates.

Predictive Analytics

Part of being a successful marketer is being proactive and anticipating trends. Fortunately, AI is an excellent tool for analyzing and predicting customer behavior and trends thanks to algorithms.

This will allow marketers to adjust their marketing strategies according to predictive data. For example, the data can help a business predict the best time to launch a new product.

Channel Optimization

There are many channels to consider when marketing your brand, product, or service. With Al algorithms, marketers can easily identify which channels are the most effective in reaching their target audience.

This allows marketing to properly allocate time and funds to channels with the best return on investment.

Customer Service and Communication

62% of consumers would prefer to use a customer service bot rather than wait 15 minutes for human agents to speak with them.

Using AI to respond to customers instantly will improve your customer’s experience and satisfaction while saving time and resources.

AI-powered chatbots can answer frequently asked questions, recommend products, and process orders faster than a team could manually.

Successfully implementing AI Marketing Automation

To leverage AI marketing automation, you must identify the best tools and platforms to help you reach your marketing goals. From chatbots to software to AI-powered platforms, there are many applications to choose from.

For example, HubSpot’s content assistant is a suite of free, AI-powered features that uses generative AI to help create and share materials such as written content, outlines, and emails.

We also offer ChatSpot, a conversational CRM bot that marketing professionals can connect to HubSpot to maximize productivity.

The feature uses chat-based commands to interact with your CRM data, so you can accomplish everything you already do in HubSpot faster.

You don’t have to be super tech-savvy to implement AI marketing automation into your business.

All you need is to identify repetitive tasks within your process that could be improved by automation, then find the right tools or software to suit your needs.

Now that you know what AI marketing automation is, you’re ready to find ways to use it.