Published on

November 24, 2023

ML as a Service

How to build AI into your SaaS product

In this article, we’ll understand the various applications and benefits of applying AI software to a SaaS product.
Craig Wisneski
Co-Founder & Head of G&A, Akkio
ML as a Service

When it comes to business, AI is a widely popular term for good reason. A NewVantage Partners study found that 9 out of 10 companies are investing in using AI to power their business decisions and processes.

For SaaS providers, leveraging AI can be particularly powerful. It can help with things like customer segmentation, customer support automation, personalization, and even fraud detection. But while the benefits of AI capabilities are clear, it can be daunting to get started with implementing it to your SaaS business.

In this article, we’ll understand the various applications and benefits of applying AI software to a SaaS product. By the end, you’ll have a better idea of how you can use AI to power your own SaaS product.

What are the benefits of AI? Why should you use AI in your SaaS product? What are its applications?

The history of artificial intelligence can be traced back to the 1950s, when researchers began experimenting with ways to make computers smarter. AI technology has come a long way since then, and it is now used in a wide variety of applications, from chatbots to self-driving cars.

So what exactly is AI? AI is a broad term that encompasses many different techniques for making software and systems behave in an intelligent way. Typically, AI systems are trained on large amounts of data, which they use to learn patterns and make predictions. They can be trained using machine learning algorithms, which are a type of algorithms that grow and improve over time as they are exposed to more data.

Companies like Amazon use deep learning models fueled by big data to improve the user experience through a number of use-cases, such as recommending products to users, providing live customer support, developing new products and features, and reducing fraudulent activities. Microsoft uses deep learning to improve Bing and LinkedIn search results, Skype translations, and more.

There are many benefits to using AI in your SaaS product. First, AI can help you automate tasks that would otherwise be performed manually, freeing up your team's time to focus on other areas. Second, AI can improve the quality of your product by providing users with more accurate and relevant results. Finally, AI can help you scale your business by allowing you to process more data more quickly.

If you're looking for ways to improve your SaaS product, AI is definitely worth considering. There are many different applications for AI technology, so it's important to do your research and find the right solution for your specific needs. With the right implementation, AI can help you take your business to the next level.

Key applications of AI for SaaS products

The modern SaaS business faces headwinds that previous generations of software companies did not. With the rise of cloud computing and the proliferation of mobile devices, customers now have more choices than ever when it comes to the software they use. In addition, the vast majority of customers are now comfortable with subscription models, which has put pressure on SaaS businesses to keep prices down.

In order to stay competitive in this environment, SaaS businesses need to find ways to differentiate their products and services. AI can be a powerful tool for achieving this differentiation. Here are some key applications of AI for SaaS businesses.

Predicting customer behavior

The modern customer is more informed and empowered than ever before. With the advent of social media and online reviews, they have unprecedented access to product information and customer feedback. As a result of these disruptions, traditional marketing and sales strategies are no longer as effective as they once were at building and engaging your customer base.

In order to stay ahead of the curve, businesses must adopt a data-driven approach to customer behavior prediction. No-code AI tools make this possible by allowing businesses to analyze large amounts of customer data in real time, identify patterns, and make predictions about future behavior.

Sentiment analysis, which uses natural language processing, is a particularly powerful tool for predicting customer behavior. By analyzing the text of customer tweets, reviews, form submissions, and other social media posts, businesses can get an accurate picture of how customers feel about their products or services.

Further, no-code AI can be used to predict and prevent churn, which is a leading cause of business failure. By identifying customers who are at risk of churning, businesses can take proactive steps to keep them happy and engaged.

No-code AI can also be used to predict subscription renewals, so businesses can focus on the customers who are most likely to renew. And, by predicting interest in a targeted cross-sell, businesses can make more informed decisions about which products or services to offer customers, and thereby increase order value.

In short, no-code AI provides businesses with the insights they need to stay ahead of the competition and keep their customers happy. Implementing a no-code AI solution is the first step towards understanding and predicting customer behavior.

Improving marketing campaigns using personalization

Studies show that 80% of customers are more likely to buy from a brand that provides personalized experiences. Yet, despite this, many businesses continue to rely on mass marketing campaigns that are not tailored to the individual.

This is a mistake. Personalized marketing campaigns are more effective than mass campaigns, and they can be easily implemented using no-code AI tools. No-code AI allows businesses to collect data about their customers and then use that data to create targeted marketing campaigns.

For example, let's say a business wants to improve its click-through rate. Using no-code AI, they could analyze the data of customers who have clicked on past ads and identify patterns in behavior. They could then use those insights to create targeted ads for customers who are more likely to click on them.

No-code AI also makes it possible to personalize the content of marketing emails, which can lead to higher open and conversion rates. By understanding what customers want and need, businesses can send them emails that are relevant and engaging.

Finally, no-code AI can be used to segment customers into groups so that businesses can provide each group with a tailored experience. This is especially important for ecommerce businesses, as it allows them to show each customer items that are more likely to be of interest.

Personalization is key to improving marketing campaigns. No-code AI makes it possible for businesses to collect the data they need to create targeted, personalized campaigns that will drive results.

Predicting churn and customer lifetime value

Acquiring a new customer is up to 25 times more expensive than retaining an existing one. Yet, many businesses continue to focus their efforts on acquisition, rather than retention.

Churn is a leading cause of business failure, yet it is often preventable. No-code AI can be used to predict which customers are at risk of churning, so that businesses can take proactive steps to keep them engaged.

No-code AI can also be used to predict customer lifetime value (LTV). This metric is a key indicator of business health, as it represents the revenue that a customer will generate over the course of their relationship with a business. By understanding which customers have the highest LTV, businesses can focus their efforts on retaining them.

No-code AI provides businesses with the insights they need to reduce churn and maximize LTV. 

Automating data analysis and reporting

Data is the lifeblood of any business, but it can be difficult and time-consuming to manually analyze and report on large data sets. No-code AI tools provide a solution to this problem by automating the data analysis process.

For example, with no-code AI, a business can quickly measure the probability of any given customer churning. This information can then be used to make informed decisions about retention strategies.

No-code AI can also be used to automatically generate reports on key metrics such as customer lifetime value, customer acquisition costs, and return on investment. This frees up businesses to focus on other tasks, knowing that their data is being accurately analyzed and reported on.

No-code AI provides businesses with the ability to quickly and easily generate insights from their data. With no-code AI, businesses can save time and resources while still getting the most out of their data.

Augmenting sales and marketing teams

Today's sales and marketing teams are under pressure to perform. With more and more data available, they are expected to know everything about their customers and prospects.

No-code AI provides a solution to this problem by augmenting sales and marketing teams with the insights they need to succeed.

Lead scoring is a great way to prioritize the leads that sales teams should focus on. By understanding which leads are most likely to convert, businesses can focus their efforts on the most promising prospects.

Sales funnel optimization is another area where no-code AI can help. By understanding where customers drop off in the sales process, businesses can make changes to their funnel so that more prospects make it to the end.

Finally, forecasting is another important function of sales and marketing teams. No-code AI can be used to predict future trends and customer behavior, so that businesses can proactively plan for the future.

In short, no-code AI provides sales and marketing teams with the tools they need to succeed. With no-code AI, businesses can improve their lead conversion rates, optimize their sales funnels, and make better decisions about the future.

Building a SaaS solution with AI built in will help you better understand your customers, position your product better, keep it evolving to fit customer needs, improve your sales funnel, increase conversions, and reduce costs. If you're looking to take your SaaS startup to the next level, artificial intelligence is a technology you can't afford to ignore.

How can you build a SaaS product with AI? 

Once limited to the Ivy League and research labs, AI is now available to anyone with a data set and a problem to solve. Thanks to advances in no-code AI, it no longer takes a team of data scientists and developers to build an AI SaaS product.

A recent New York Times article outlines how no-code AI is making machine learning accessible to a wider audience. By democratizing AI, Akkio is giving businesses of all sizes the power to compete with the big players.

With no code required, Akkio makes it easy for anyone to get started with AI. Just upload your data, select your target variable, and let Akkio do the rest. In minutes, you can have predictions for churn, attrition, upsell, fraud, and more.

For instance, churn prediction is a process that traditionally required weeks or months of work. But with Akkio, you can get predictions in minutes, without writing a single line of code. As churn has been called the "silent killer" of SaaS businesses, this is a valuable tool for any SaaS company.

Once a model is built, it can be deployed in any environment. This makes it easy to scale as your business grows.

Whether you're a startup or a Fortune 500 company, Akkio can help you build a SaaS product with AI. With no code required, it's easy to get started and see results fast. So why wait? Get started today and see what Akkio can do for your business.


In today's competitive landscape, businesses must adopt a data-driven approach to stay ahead of the competition. No-code AI tools provide an easy and accessible way for businesses to collect and analyze customer data, identify trends, and make predictions about future behavior.

No-code AI is particularly powerful for predicting customer behavior. Sentiment analysis, for example, can be used to understand how customers feel about a product or service. This information can then be used to improve marketing campaigns, prevent churn, and increase customer lifetime value.

Akkio is a leading no-code AI platform that makes it easy for businesses of all sizes to get insights from their data. With Akkio, you can quickly and easily build an accurate machine learning model in minutes - without writing any code! Akkio lets you predict the future and get insights that were previously only available to big companies with teams of engineers.

Why not try Akkio for yourself? Sign up for a free trial today.

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