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10 Stellar SaaS Sales Strategies That Actually Work

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When it comes to sales, there’s no one-size-fits-all solution. What works for one company might not work for another. However, there are a few general principles that tend to hold true across the board when it comes to SaaS sales.

If you’re a sales rep selling SaaS products, you know that the landscape is constantly changing. It can be tough to keep up with all of the latest trends and techniques, but luckily, you don’t have to do it alone!

In this blog post, we’ll share 10 stellar sales strategies that actually work. So whether you’re just starting out in your SaaS sales career or you’re looking for new ways to boost your performance, read on for some helpful tips.

In this guide, we’ll explore the SaaS sales process and the strategies you can implement to increase your SaaS sales. So let’s get started!

10 Evergreen SaaS Sales Strategies

1) Create Value Proposition

Your company’s value proposition is one of the most important factors in determining your success or failure in SaaS sales. In short, your value proposition is a statement that explains why your product is better than the competition.

When creating your value proposition, you need to make sure that you are emphasizing the features and benefits that are most important to your buyers. You also need to make sure that your value proposition is clear and concise, and it’s important to back it up with evidence.

If you can create a strong value proposition, you’ll be in a much better position to win deals.

2) Use a Proven Sales Process

Using a proven sales process is one of the best ways to increase your chances of success in sales of your SaaS startup. A good sales process will help you to avoid common mistakes, and it will also help you to move deals through the sales pipeline more quickly.

There are a number of different sales processes that you can use, and you should choose the one that best fits your company and your buyers. However, it’s important to make sure that the process you choose is scalable, so that it can be used with larger deals.

3) Understand Your Buyers

One of the most important things you can do in SaaS sales is to understand your buyers. When you understand your buyers, you can create a sales process that is tailored to their needs. You can also develop content that is relevant to them, and you can create pitches that are more likely to resonate with them.

It’s important to remember that not all buyers are the same. You need to understand the different buyer personas that exist in your market, and you need to develop content and pitches that are relevant to each persona.

4) Have a Human Touch

Although technology is important in SaaS sales, it’s also important to remember that the sale is still a human process. In order to be successful, you need to build relationships with your buyers, and you need to connect with them on a personal level.

One of the best ways to do this is by using personalization. When you personalize your communications, you make them more relevant to your buyers. This will help you to connect with them on a deeper level, and it will also help you to build trust.

5) Stay Up-to-Date With Changes in the Market

The SaaS market is constantly changing, and it’s important to stay up-to-date with the latest changes. When you know what’s going on in the market, you can adapt your sales process and your content to match the current trends.

You can stay up-to-date with the latest changes in the market by reading industry blogs and by attending industry events. You can also use social media to keep track of the latest trends.

6) Train Your Sales Team Well

One of the best things you can do to improve your chances of success in SaaS sales is to train your sales team well. When your sales team is well-trained, they will be more effective in their interactions with buyers. They will also be better equipped to close deals.

Training your sales team is a process that takes time and effort, but it’s worth it in the long run. You can train your sales team by providing them with training materials, by giving them role-playing exercises, and by setting up mock negotiations.

7) Use Sales Automation Tools

Sales automation tools can be a great help in SaaS sales. When you use sales automation tools, you can automate the sales process and make it more efficient. This will free up your time so that you can focus on building relationships with buyers.

There are a number of different sales automation tools that you can use, and the best ones will depend on your company and your buyers. However, some of the most common sales automation tools including CRM software, proposal software, and email automation software.

8) Be Persistent

In order to be successful in SaaS sales, you need to be persistent. When you’re persistent, you’ll continue to pursue deals even when they seem to be difficult. You’ll also be more likely to follow up with leads, and you’ll be more likely to keep trying even when you face rejection.

Being persistent is a quality that is essential in any salesperson, and it’s especially important in SaaS sales. When you’re persistent, you’ll be more likely to succeed in the long run.

9) Free Trials Can Be Helpful

Offering free trials can be a helpful way to increase your SaaS sales. When you offer free trials, you give buyers the opportunity to try out your product before they buy it. This can help them to decide whether or not your product is a good fit for them.

There are a number of different ways to offer free trials, and the best way to do it will depend on your company and your buyers. However, some of the most common ways to offer free trials include providing a limited amount of access to your product, providing a full version of your product for a limited amount of time, or providing a discount on your product if the buyer buys it during the free trial period.

10) Great Product Experience

Last but not least great product experience. If your product is difficult to use or it doesn’t meet the needs of your buyers, you’re going to have a hard time selling it. However, if your product is easy to use and it meets the needs of your buyers, you’ll have a much easier time selling it.

Creating a great product experience is essential in SaaS sales. When you create a great product experience, you’ll make it easier for buyers to buy your product and you’ll make it more likely that they’ll be satisfied with your product once they buy it.

Conclusion

SaaS companies can increase their product’s revenue by using a variety of sales strategies. The ten tips we’ve shared are a great place to start, but it’s important to remember that each company is different and what works for one may not work for another. Experiment with the strategies that seem most relevant to you and your team, track your results, and make changes as needed.

With some effort and perseverance, you should see an increase in sales for your SaaS product.


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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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