MARKETING
The just-do-this guide to SaaS marketing
There are almost 30,000 SaaS companies worldwide, 17,000 in the United States. With so many selections for customers to choose from, how can you optimize your SaaS marketing to stand out from the competition?
Since proper SaaS marketing techniques result in customer acquisition, loyalty and increased revenue, understanding these fundamentals are vital.
Key takeaways:
- SaaS stands for Software as a Service and is a subscription-based method for delivering a software application from the internet.
- SaaS offerings are beneficial since their deployments are speedy, and there’s little capital expense involved.
- Your marketing campaign should always target one niche or vertical. People will connect better with something specific to them.
- You can prove your quality to customers and secure their business by offering a free trial of your SaaS solution.
- Market your SaaS solution as a transformation, not an improvement.
What is SaaS?
Since SaaS marketing means promoting your SaaS company through any form of advertising (e.g., TV, social media, internet ads), we first focus on what is a SaaS company.
SaaS stands for Software as a Service and is a subscription-based method for delivering a software application from the internet.
Traditionally, companies would have their administrators install an application locally on a user’s workstation. Then, that software would connect to a company server to present the user with the needed interface. An example is Microsoft Outlook, an email application that connects to a company’s Microsoft Exchange server to give users their email. Software as a Service changes that model by providing the application from the internet, delivered either through a web interface or a mobile app, never installing it locally on the user’s workstation (e.g., Microsoft 365).
The value of a SaaS company
Why is an offering like this advantageous? Here are four reasons:
- Customers don’t have to invest much capital into their business. They don’t need to buy hardware such as servers and storage. And they don’t have to spend money creating a large data center. Finally, there’s no need to pay an upfront cost for the software and the license.
- SaaS is more tax efficient. You can write up the subscription as an operating expense.
- The speed of application deployment is considerably faster. Since getting started with a SaaS company can be as simple as clicking on a trial offer, a customer can run with their software in minutes versus possibly months with the traditional model.
- The SaaS application scales along with the customer’s business.
- The responsibility for a secure and seamless software experience falls on the SaaS company, not the customer. Customers who aren’t happy with the service can easily switch to another company.
This last point is why SaaS companies need an effective marketing campaign. Now, let’s see how you can create one.
4 contributing factors for the best SaaS marketing
These strategies will help create a winning marketing campaign and promote customer loyalty.
1. Connect with your audience
So many SaaS solutions are available today that the broad or overly-general ones don’t connect with people enough. Your marketing campaign should always target one niche or vertical. People will connect better with something specific to them.
So, find a problem and the solution for it. When creating a marketing campaign, set up the facts about the issue and speak to someone’s pain points so they understand the need for your solution. Ensure your target audience has the problem you resolve.
Finally, and for emphasis, talk about your audience’s needs instead of what you offer. If your marketing is self-focused, it won’t connect with your audience. The audience cares about their problems and wants to hear that what you have can change their lives.
2. Determine the best marketing approach
There are many marketing approaches, and each brings a measure of success. However, you want to optimize your strategy to use your company’s best digital channel or method. For example, should you lean into content marketing, search engine optimization (SEO) or social media advertising? And, say you focus on social media, which platform should you use?
You can determine which digital platform is most suited for you through either experimentation or by looking at what your competitors use. If a competitor engages with an audience primarily through a particular channel, say LinkedIn, you can conclude that this method is effective and implement it.
3. Offer a free trial
Why should you offer a free trial? Because, before that trial, your SaaS business is an unproven commodity. There’s no trust between you and your customer. But if you let the subscriber take your solution for a test drive, you can prove your quality and secure their business.
SaaS free trials are ideal because there is no physical product to return at the end of a trial period. A customer will decide to either move forward with your software or not. Stir up interest by placing the free trial offer throughout your website (e.g., on your homepage, blog post, “Contact Us” page.)
What efforts will make people more likely to become paying customers at the end of a trial? Encourage the potential subscriber to use the free trial to get to know your service. For example, suppose you enable a user to test your solution for free for one month. You could send a welcome email at the start of the trial period. Then, a week later, send a follow-up asking if the user is enjoying the free trial. Perhaps you could highlight a feature for them to try.
4. Build a solid brand reputation
Market your SaaS solution as a transformation, not an improvement. If you mention that your product is an improvement, customers may think it could be a lot of work to switch to a brand related to what they already comfortably use. Pitch a mindset shift by incorporating some transformative phrases, such as:
- “Our product is a new way to….”
- “We are the fastest….”
- “We are the most cost-effective solution for….”
Finally, price honestly and deliver good customer service. It’s easier to keep a customer than to acquire a customer. And loyal customers can make for free promotions.
Promote your SaaS business with Optimizely
Optimizely can help you perform experimentation to find the right digital channel for your SaaS marketing. We offer AI/ML solutions so you can respond to changing audience behaviors and adapt your marketing strategy.
Contact us today to discover how we can help!
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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