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How to Use the If Function in Google Sheets

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How to Use the If Function in Google Sheets

One of the most valuable functions in Google Sheets is the “IF” functions.

Imagine you want to be able to quickly scan your spreadsheet and answer some key questions. This function will help you do that.

Let’s jump into how it works and see some real-life examples.

What does the if function do in Google Sheets?

In Google Sheets, the if function allows you to check a condition and return a specific value if it’s TRUE.

For instance, say you have three columns in a spreadsheet: channel, target, and profit. You want to know which channels hit a profit higher than the target.

You can use the IF function to do so – the formula logic would look like this: If the target is higher than the profit, it will return “YES.” If not, it will return a “NO.” You can then track that data in another column titled “Goal Met.”

How to Use If Function in Google Sheets

When using the if function in Google Sheets, you must use the following syntax:

IF(logical_expression, value_if_true,value_if_false)

Let’s break down what each one means:

  • Logical expression refers to the condition you’re checking in the function.
  • Value if true is the value the function will return if the logical expression is true.
  • Value if false is the value the function will return if the logical expression is false.

To do this, you’ll need to use the following logical expression symbols:

  • > to denote greater than
  • >= to denote equal or greater than
  • < to denote greater than
  • <= to denote equal or less than
  • <> to denote not equal
  • = to denote equal

Let’s see a real-life example.

Excel spreadsheet showing four columns: channel, target, profit, goal reached with rows of data

Here, we have a spreadsheet with data on how each marketing channel performed. Each channel had a target revenue next to the actual profit. The last column, “goal reached” will be used to quickly answer which channels met the goal.

  1. Select the cell in which the formula will be applied.

  2. Write out the formula following this syntax:how to write the if function formula in your cell: Write out the formula following this syntax:

  3. Drag the mouse to apply the formula to relevant cells.

Scared you’ll forget it? Don’t worry. Google Sheets has an autofill feature that will show you the formula as you type it out.

how to write the if function formula in your cell: Drag the mouse to apply the formula into relevant cells.

In this case, the formula will be: =if (C2 > B2, “YES” , “NO”). To break that down further, the formula states if the profit from the email channel is higher than the targeted profit, then write “YES.” If it’s lower, then write “NO.”

breaking down the if function formula

Keep in mind that the value if true can be whatever you choose. However, in this example, the simple option was choosing the words “YES” or “NO.”

Because the formula includes words, you must use apostrophes so that Google Sheets reads the formula correctly.

If/Then vs. If/And vs. If/Or Functions

In the simplest terms, with “If-Then” you’re checking that one condition is met. In the example above, it was that one value would be higher than the other. Based on that data, the return value would be “YES” or “NO.”

With “If And,” you’re checking multiple conditions for a “TRUE” value. They all have to be “TRUE” for the return value to be “TRUE.”

“If Or” is the exact opposite to “If and.” It also checks multiple conditions but if any one is true, it will return a “TRUE” value.

Here’s a real-world example:

  • If then I am going to the store. If you go to the store, the statement is true.
  • If and I am going to the store and filling up my tank. You must go to the store and fill up your tank for the statement to be true. Otherwise, it will be false.
  • If orI am going to the store and filling up my tank. You could complete either task and the statement will be true. The only time it will be false if you complete neither one.

How to Use If Function with Multiple Conditions

Say you’re running a survey and you want to easily categorize your respondents into two age buckets. You could write a formula that states if respondents are 25 or younger, they’ll be in group “A”. If they’re 26 or older, they’ll be in group B.

This creates multiple conditions under which the value can be written. The formula checks the first condition, if it doesn’t apply, it moves on to the next to find the appropriate value.

Let’s see this in action.

nested if function google spreadsheet

Using the example above, your formula would be as follows:

= IF(A2 < = 25, “A”, IF(A2 >= 25, “B”))

nested if function example on google sheets

Nested If Function in Google Sheets

In Google Sheets, “nesting” simply refers to placing the “if” function within its own formula to test multiple conditions and return different results based on those tests.

The formula syntax is as follows:

=IF(first_statement,value_if_true,IF(second_statement,value_if_true,value_if_false))

It’s as easy as that.

So, here’s another function you can use to speed up your process when using Google Sheets.

business google sheets templates


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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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