Connect with us
Cloak And Track Your Affiliate Links With Our User-Friendly Link Cloaking Tool, Try It Free

MARKETING

8 Incredible SaaS Marketing Strategies to Implement in 2023

Published

on

8 Incredible SaaS Marketing Strategies to Implement in 2023

Some of the most successful SaaS companies have the most planned and well-thought marketing strategies. Unfortunately, some companies need help understanding the market’s needs and eventually fall short of success.

Although sometimes researching for the perfect marketing strategy can seem intimidating at first, the benefits are too good to ignore and easier to integrate by working with a react native development company India. From reliability to generating leads, these are 8 incredible marketing strategies to implement in 2023.

Top SaaS Marketing Strategies To Implement In 2023

1. Creating A New Market

Creating the demand for software is a tried and tested method when it comes to marketing strategies. For example, Slack CEO Stewart Butterfield found out that when asked about internal communication, companies or employees said they did not use anything for it. He realized then that people needed to be thinking of this as a software category.

Slack created the demand for its software by providing a system of communication that people did not even know they needed. Multiple numbers of tools were provided in the free version of Slack. They went from 15,000 daily users in 2014 to over 500,000 currently.

2. Focusing On SaaS Content Marketing

Another great strategy for SaaS marketing is through compelling content such as e-books, whitepapers, case studies, podcasts, interactive content, and others. Content-driven marketing establishes reach to the target audience, generates leads, and a well-thought leadership strategy.

A well-thought leadership strategy enhances the influence on the market and provides vital support to the brand, in general, from a marketing point of view. It helps to understand the problems others are facing and offer expertise.

The one point that needs to be kept in mind is to refrain from directly trying to sell a product. Instead, the content should be relatable, educational, and entertaining so that the target audience gains knowledge and uses that knowledge to consider the company’s services.

3. Engaging With The Community

The primary purpose of SaaS marketing is to reach the target audience and let them know how the brand’s product helps them solve their problems. The competition between SaaS companies is growing, and community engagement is one of the best ways to stand out in the crowd.

Virtual spaces can be used to engage with the brand’s community. Virtual spaces can be leveraged in various ways, such as hosting or participating in virtual events. Hosting a forum, creating Facebook and LinkedIn groups, finding networking opportunities, and exploring valuable topics are some of the best ways to further the connection with the community and making it grow. Additionally, Facebook and LinkedIn cold messages can be used to reach out to potential customers and establish a connection with them. This helps in introducing the product to the customers and also increases brand visibility among the target audience. Moreover, it helps in creating an impression of the brand as a reliable source for solving customer’s issues and encourages customers to opt for the brand’s services. Thus, community engagement is one of the most effective ways for SaaS companies to stand out from the competition.

4. Easier Signup And Free Trial

When signing up becomes tedious, users tend to leave. The signup process in SaaS providers should always be quick and easy. The landing pages should be clear, and CTAs must be placed strategically, so people find them easier to find and click without making them look too overwhelming to distract users from the information. Companies hire dedicated developers to achieve the same.

Providing free trials attracts more users and makes them trust the brand. Some experts, however, feel that providing freemium services is not suitable for SaaS companies as it might be dangerous for them. That debate is easily countered by the fact that the cost benefits offer plenty of room for offering free trials as there is minimal cost involved.

5. Testimonials And Partnerships

It is always advisable to feature customer testimonials to show the brand’s credibility. Customer testimonials and case studies which are easily and efficiently visible on the website, are the perfect way to build an outstanding reputation.

Building partnerships with other companies and offering integrations are some additional ways a SaaS company can increase trust. It is important to note that all of this information should be clearly visible. To prove themselves to be reputed and trustable software providers, companies can highlight customer stories they can get from reviews or ask their users for feedback.

Software providers should also keep in mind to feature all the strengths and capabilities of their software.

6. Different Pricing Plans

As mentioned above, SaaS development companies are facing a lot of competition, and in order to distinguish themselves from the rest of the companies, the companies must provide more value to customers. Using lucrative pricing plans with a bunch of features always helps companies attract more users.

For this to happen, however, SaaS companies need proper research before introducing the pricing plans. Research should be focused on the target customers, their budget, and their needs. All the costs and benefits should be planned accordingly and clearly visible on the website to avoid losing potential users. It is important to note that to do that, companies must look for an android app development company in India.

Doing so gives customers the trust that the company understands their needs and that the brands provide tailor-made solutions to their problems while keeping their specific budget in mind.

7. Referral Marketing

Even though the marketing strategies of SaaS companies are vastly different from other businesses, referrals are common in all marketing strategies. B2B companies that offer incentives for referral marketing observe a higher conversion rate of around 70%.

Customers find it very profitable when they can see a significant benefit by referring the company to someone else. They put in a lot of effort to attain those benefits, and the best part is that the more benefits companies can give, the more referrals the companies get.

8. Collaborating With Other SaaS Companies

According to surveys, a co-marketing campaign helps 68% of customers make buying decisions without the need to speak with a sales rep. There might be an untapped audience that the company itself has yet to reach. Collaborating with other similar SaaS companies can help them reach a new audience within the same industry and is a great way to generate leads and build relationships with potential customers.

Companies need to identify other SaaS companies that share the same idea or a product that suits your solution. The next steps include the following:

  • Creating a proposal.
  • Talking to the companies to find out if they are interested in a collaboration.
  • Discussing the budget and split costs.

Conclusion

SaaS companies should always keep in mind that SaaS marketing is always about more performance with less expenditure. An expensive ad campaign might always seem interesting at first, but companies need to focus on inbound marketing, which can be done easily by creating valuable content that interests their users.

User experience and solutions to the customers’ problems should always be the priority. Innovative methods should be developed to give the brand a personal touch rather than traditional methods to attract more customers.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

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

Published

on

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!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

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

Published

on

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

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

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.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending