MARKETING
How to Sort in Google Sheets
Google Sheets is a great tool for tracking, analyzing, and organizing data for your company or business.
While the application is user-friendly, it can be a bit tricky if you’re new to organizing data in a digital spreadsheet. But, don’t worry! Read on for an easy introduction to sorting in Google Sheets.
First, know that there are many ways to sort data in Google Sheets. Some of the most common features marketers like you will use when working in Google Sheets are:
- Pivot tables – Useful for gathering data from a large database
- What-If analysis – Allows you to experiment with different scenarios for values and formulas to understand possible outcomes
- Charts – A simple way to visualize data in the form of a graph, diagram, or table
While these features can also be found in Microsoft Excel, Google Sheets may be the better option for you. Unlike Excel, Google Sheets doesn’t require a paid subscription.
The tool is free for anyone with a Google account or Google Workspace account. Many users also find Sheets a more optimal tool for collaborative projects when compared to Excel.
So, how do we get started sorting in Google Sheets? Let’s dive in.
Sorting by Sheet Vs. Sorting by Range in Google Sheets
Sorting by Sheet Vs. Sorting by Range in Google Sheets
Sorting by sheet means organizing all of the data in your Google spreadsheet by one column. Sorting by range means only sorting data within a range of cells in your spreadsheet.
The latter is especially helpful if your spreadsheet contains multiple tables and you want to organize one table without disrupting the others.
For example, the spreadsheet below is sorted by sheet. The titles of the books (column A) have been sorted into alphabetical order.
In the second example, the titles are sorted in reverse alphabetical order. In both cases, each book’s author, publishing date, and genre remain with the corresponding title.
The example below has two separate graphs on one sheet. Notice the graph containing book titles, authors, release date, etc … is organized by alphabetical order, while the book log below it is not.
That’s because the graph of book titles was sorted by range so it wouldn’t disrupt the book log below it.
How to Sort Columns and Rows in Google Sheets
Knowing how to sort rows and columns in Google Sheets is key to organizing your data. Here’s a step-by-step guide:
Alphabetical or Numerical Order
Step 1: Open a spreadsheet in Google Sheets and highlight the group of cells you’d like to sort. In this example, we’ll use the graph of book titles.
If your sheet has a header row (like the green header row in the example), you’re going to want to freeze that row so it stays in place as you sort.
To do this, select the header row, click the “View” tab, click “Freeze,” then click “1 row.” If you do not have a header row, then you can move on to the next step.
Step 2: Click the “Data” tab then “Sort Range” then “Advanced range sorting options.”
Step 3: If your columns have titles, click “Data has header row.”
Step 4: Select the column you want to sort first then choose the sorting order. A-Z and Z-A will put your data in alphabetical and reverse alphabetical order respectively.
If you’re working with numbers, A-Z will organize the data in ascending order and Z-A will organize it in descending order.
Step 5: To add another sorting rule, click “Add another sort column.” Then click the green “Sort” button.
Step 6: To sort an entire sheet, right-click the letter of the column you want to sort by, then click sort A-Z or Z-A.
How to Filter Your Data
Filtering your data is especially helpful if you want to hone in on specific information from a large data set. It’s also great if you only want certain information displayed when people first open your spreadsheet.
Step 1: Select the range of cells you want to filter.
Step 2: Click the “Data” tab then click “Create a filter.”
After clicking “Create a filter,” your graph should look like the example below. Notice the filter icons next to each column header name and the new border around the graph.
Step 3: Let’s say we only want to see book titles that are historical fiction. To do this, we’d click on the filter icon next to “Genre,” then click “Filter by values.”
Step 4: Then, we’d uncheck everything but “Historical Fiction,” and click “OK.”
This can also be done by clicking “Clear” and typing in “Historical Fiction.” The latter method is great if the value you want to sort by isn’t listed and you want to add your own.
No matter which method you choose, the end result should look like this:
How to Sort Your Data by Color
Let’s say the book titles are all color-coded by genre with historical fiction being orange, science fiction being blue, and coming of age being purple.
To sort these color-coded titles so that coming-of-age books are at the top, do the following:
Step 1: Select the range of cells.
Step 2: Click the “Data” tab then click “Create a filter.”
Step 3: Click the filter symbol in the genre column, then sort by color, fill color, then purple.
After doing so, all coming-of-age titles will appear at the top of the graph.
If you’d like to turn the filter off, simply click “Data” then “Remove filter.”
Remember that your filter will be visible to anyone with access to the spreadsheet. If someone has permission to edit your spreadsheet, that person can also change the filter.
And that’s how you can sort and filter your data in Google Sheets. Now you’ll be able to organize your data digitally in one application.
Remember, Google Sheets is available for free to anyone with a Google account or Google Workspace account. It’s also ideal for collaborative projects thanks to Google’s sharing and editing features. Happy sorting!
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MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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