MARKETING
The Marketing Graph You Need to Hit Your Goals
Last November, my husband and I were on our honeymoon in Maui. One of the main activities we wanted to do was a hiking tour near the waterfalls. We dreamt of swimming in the cascading water at sunrise.
When you hear the word “waterfall,” that’s typically what you imagine. However, today, we’re going to talk about a different kind of waterfall — the waterfall chart.
Waterfall charts are a data visualization resource that can help you gather and track important data such as traffic goals and lead generation. Below, let’s review what a waterfall chart is, how to read one, and how to create one.
What is a waterfall chart?
A waterfall chart, also called a cascade chart or bridge chart, is a graph that shows you how an initial value is impacted by intermediate values — either positive or negative — and results in a final value. Typically, waterfall charts are used to analyze data sequentially.
In marketing, a waterfall chart could display the number of leads, traffic sources, or blog views over a period of time. More specifically, you could use a waterfall chart to showcase how your blog traffic has increased or decreased in the last year, giving values month over month.
You could potentially use line charts, bar charts, and even bullet graphs to show this type of data. But waterfall charts have the advantage of showing your gains as they’re impacted by losses over time.
Why use a waterfall chart?
You should use a waterfall chart instead of other types of charts when trying to visualize data that experiences both gains and losses. It’s especially useful if you want to see how a loss affects a subsequent value.
One of the reasons that waterfall charts are effective in marketing is because they give context to the data it’s reporting. Most data visualizations suffer from ignoring circumstances that result in a fall or rise in numbers, such as seasonality.
For instance, let’s say you create a waterfall chart of your Twitter followers over time. Rather than using a line graph that shows your total number of users over time, a waterfall chart shows how many you lost — and how that impacts subsequent figures.
At first glance, these charts can be difficult to read. Below, let’s review how to read a waterfall chart.
How to Read a Waterfall Chart
Reading a waterfall chart will seem foreign at first if you’ve never done it.
However, it’s important to remember that you’re reading it sequentially, from left to right.
For instance, let’s say you’re tracking blog traffic from month to month. On the far left, you’ll have the total traffic from the previous year. Then, you’ll include the gains and losses month over month for the entire year. At the end of the chart, you’ll see the total traffic for the year.
Here’s what that looks like:
Notice how each value ends either where the previous value ended or began. In January, there was a gain of 5,000 visitors, but in February and March, there was a loss of 2,000. April’s traffic value takes that into account by starting from the -2,000 figure and going up from there.
Essentially, a waterfall chart is supposed to show you where you started and where you ended up, with details of how you got there. In this example, you can see which months gained the most traffic compared to the months that lost traffic. This could help you see seasonal adjustments, while also keeping the big picture in mind.
Now, you might be wondering, “That chart looks difficult to make. How can I make my own in Excel?” Below, we’ll review the simple process of creating your own waterfall chart.
Waterfall Excel Template
- Gather your data.
- Create a table with 4 columns.
- Enter your data in Sheets or Excel.
- Add up your values.
- Highlight all of your data.
- Insert your waterfall chart.
- Format your waterfall chart.
Not sure how to actually get it done? Below, we include a template and further instructions.
Bonus: You’ll also find instructions for creating waterfall charts in Google Sheets, in case that’s your preferred spreadsheet software.
Waterfall Excel Template
1. Gather your data.
Before creating your chart, you’ll need to compile the data you’d like to use.
For example, are you tracking blog traffic numbers? Or perhaps you’re looking at leads generated from a certain marketing campaign? Either way, before you can create a waterfall chart, you’ll need to gather your data.
2. Create a table with four columns.
For this template, we’ll track blog traffic. Create a table with four columns. The first two columns will have no headings. In cells A2 to A15, write START, then all 12 months, then END.
3. Enter your data in Sheets or Excel.
Open Excel or Google Sheets, and begin manually entering your data. When you enter your data, make sure you denote the difference between positive and negative values. To denote a negative value, just add a minus sign in front of the number.
Note: all numbers in this example are arbitrary and not reflective of traffic to any blog.
In cell C1, write “GAIN,” and in cell D1, write “LOSS.”
From there, place your traffic numbers. How much traffic are you starting with? Write that in cell B2, next to START. Then, for each month, write how much you gained or lost.
4. Add up your values.
Add everything together, including negative values, and place them in cell B15, next to END.
5. Highlight all of your data.
Now that you have your values, highlight the table you just created.
6. Insert your waterfall chart.
If using Google Sheets, go to Insert → Chart → Waterfall chart.
This will create a waterfall chart and the Chart Editor will show up on the right-hand side. When the Chart Editor comes up, make sure that “Waterfall Chart” is selected under Chart Type.
If using Excel, go to Insert → [Waterfall chart symbol] → Waterfall.
Your chart will automatically be created based on the values in our template.
7. Format your waterfall chart.
At this point, all the hard work is done. All you have to do is format your chart and make sure it looks how you want.
In Google Sheets, click on the three dots in the upper right-hand corner of the chart and hit Edit Chart. You’ll get to the Chart Editor. Here, you can choose the colors of your bars, adjust your legend, or add gridlines. Most likely, the main thing you’ll want to do here is to adjust your legend.
In Excel, you’ll click on the chart, then choose “Chart Design” and “Format” on the top ribbon to make the chart look the way you want it to.
The process of creating a waterfall chart manually can be a hassle. Luckily, you can also create a waterfall chart using a dedicated dashboard tool. For example, HubSpot offers marketing dashboard and reporting software that you can use to create charts. Here’s how.
How to Create a Chart in HubSpot
1. Go to Analytics Tools.
Once you log in to your portal, hover over the Reports tab and click into the Analytics Tools.
2. Choose what you want to track.
Next, you’ll choose what you want to track. Perhaps you want to analyze blog traffic like we did in the example above. Or maybe you want to review analytics for a certain campaign.
Either way, you can choose what you want to track in the Analytics Tools.
3. Choose the chart type.
Lastly, all you have to do is choose the style chart you want. Right now, you can choose between an Area chart, Column chart, Line chart, or Combination chart. You’ll want to choose “Column,” which is closest to the waterfall chart format.
Waterfall Analysis
To recap, here’s how to understand your waterfall chart:
A waterfall chart shows a series of negative and positive values. Each value impacts the value after it.
Example:
If one week you lose 3 leads, the next value will take that into account. If you gain 5 leads, the waterfall chart will use -3 value as a starting point, so that your ending point is a gain of 2 leads.
Each column is color-coded to distinguish positive from negative values.
Now that we have refreshed how to read and understand a waterfall chart, let’s dig into how to analyze it.
1. Examine the time ranges with the greatest losses.
Which months or weeks did you see the greatest losses? It’s important to see and understand these figures to get the most out of your chart. From there, you can troubleshoot or come up with a new strategy for those months.
2. Examine the time ranges with the greatest gains.
Conversely, look at the time ranges that saw the greatest gains. You’ll want to emulate what you did during those months — or research trends that gave you a boost during those times.
3. Examine the net change over the entire time range.
From start to end, how big of a difference did you see? Was it a positive or negative difference? Could your business have seen better results?
4. Look at week-to-week gains and losses after implementing a new strategy.
After creating a new strategy, it’ll be helpful to use a waterfall chart to see how it impacts you from week to week — whether you’re seeing more positive or negative results.
Use a waterfall chart to better analyze your performance.
To ensure you’re examining the full scope of your analytics, we recommend creating a waterfall chart. It’s a worthwhile data visualization tool that can help you understand your analytics sequentially. No longer do you have to rely on typical line graphs — with a waterfall chart, you’ll understand your gains and losses over time at a much more granular level.
Editor’s Note: This post was originally published in May 2011 and has been updated for freshness, accuracy, and comprehensiveness.
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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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