How to decide which AI marketing software to develop

Are you curious about pursuing an AI marketing software development project?

The reality is that all businesses need to do marketing whether they’re small businesses or corporations. More and more marketers are turning to AI software to help them with a variety of marketing tasks. 

By 2030, 70% of companies are likely to adopt some form of AI technology [Mckinsey Global Institute] So, now is the time to create a fantastic AI marketing tool to assist thousands of marketing professionals in doing their jobs better and faster.

In this article, web development teams can get advice on determining which type of AI marketing software will be the most viable and profitable to invest resources in developing from a pro marketer’s perspective.

Marketers Need AI Software Solutions 

A marketer simply doesn’t have enough time and brain power to evaluate data from various sources, such as sales, marketing, and customer data. That’s where artificial intelligence comes in, providing quick, actionable insights to help marketers make smart choices. 

Marketers can use AI to analyze massive amounts of data in real-time and spot patterns that a human might miss. The ability to personalize their messaging and optimize digital marketing campaigns ultimately helps them drive business growth.

What are the Types of AI Marketing Software?

Analytics AI Tools

Without analytics data, it’s kind of like driving blindfolded on a busy city street.

High-quality AI-driven predictive analytics tools can provide guidance and insights with four key marketing tasks (planning, building, optimizing, and reporting). In fact, all AI marketing software mentioned should have strong analytical components, even if it’s not solely purposed for that.


Digital marketers can do strategic planning by analyzing customer behavior, and internal and competitor performance data. 

Search engine and social media marketers who run ads can use data to help with structure, ad variations, keyword grouping, and other media planning across paid search, social, and programmatic channels.


All types of marketers rely on data to build campaigns, ad groups/sets, and audiences, and determine budget allocation.


Marketers can optimize digital advertising campaigns by adjusting media/keywords, audiences, schedules, budgets, and bids to maximize ROI and return on ad spend (ROAS).


It’s all about accountability, key performance indicators, and results. Marketers must assist with reporting to superiors, stockholders, and investors. The best way to prove marketing efforts were successful is by reporting on a weekly, monthly, quarterly, and yearly basis. 

Chat and Messaging AI Tools

AI chatbots and other messaging tools enhance the customer experience on websites, social media, and messengers like WhatsApp. Personalized customer relationships keep people’s interest and make the company look better than its competitors. Human-like interactions and personalization at scale will change marketing forever. 

A full-featured in-app chat can be included to provide real-time help and tailored communication, taking the customer journey to a whole new level in light of the growing importance of individualized client relationships. This new capability has the potential to revolutionize marketing by enabling human-like interactions when used in conjunction with AI chatbots and messaging applications.

Machine learning helps the majority of AI chat and messaging technologies become smarter over time, removing all but the most challenging decision-making from the requirement for human participation.

Key features that are included in the leading chat and messenger marketing software today are omnichannel messaging, email/lead gen capture, marketing automation, integrations, and no-code setup.

Content Marketing AI Tools

With content marketing AI tools, marketers can map out AI-driven content journeys. Having the right content strategy will ensure their content is relevant and worthy of link sharing and a better Google ranking. Content made with AI still needs the human touch to ensure it’s well-written and authoritative.

Key features that marketers look for in artificial intelligence content marketing software are directed toward SEO, social media, and ad copy.

Also, integrating marketing SMS to AI content marketing software’s content promotion feature can offer a different channel for connecting with and interacting with clients. 

To develop a thorough and successful content marketing plan, marketers can use automated content audits, topic and keyword research, performance analytics compared to similar content in the SERP, marketing SMS, and more.

Ecommerce AI Tools

Ecommerce companies arguably have the most difficult marketing scenario since they are responsible for promoting tens, hundreds, or even thousands of products.

In fact, 45% of retailers are either planning or have already implemented AI to improve multichannel customer engagement as a core part of their marketing mix [Statista]

Ecommerce needs AI marketing software to help them deliver customer-centric searches, provide smart product recommendations, retarget potential customers, identify buyers, and improve sales processes.

Email Marketing AI Tools

Email marketing is probably one of the most downplayed forms of communication. It’s tried and true, and the best part is that people can own the data instead of paying again to remarket on ad platforms.

Email marketers use AI to create kick-ass email campaigns that convert subscribers into customers faster by enhancing open and click-through rates with optimized messaging.

According to Statista, more than 41% of marketers say AI is enabling them to generate higher revenues from email marketing, in addition to:

  • 13% increase in click-through rates
  • 7.64% increase in open rates

Recruitment AI Tools

The competition for marketing careers is fierce. Recruiters who focus on hiring marketing professionals need AI applicant tracking software [ATS] that can scan resumes and narrow down candidates to interview in a matter of seconds.

Marketing recruiters need key AI features such as candidate sourcing, recruitment CRM, candidate recommendations, and a full reporting and analytics suite.

The Verdict on AI Marketing Software Development

The future of artificial intelligence for developers is clearly still developing for many years to come. There are a lot of “first-movers” in the AI software industry who are taking a large part of the market share but it’s not too late. It’s always possible that you’ll come out with superior AI-powered marketing tools too. 

A lot of money is still up for grabs since “19.2% of marketers responded that they spend 40% of their marketing budget on AI-driven campaigns” [Influencer Marketing Hub]. 

Improving customer segmentation, advertising, media buying, and channel personalization are the next fastest-growing areas of AI adoption in marketing today [Salesforce]

The best advice I can give you is to do AI marketing software development for a product you are confident can beat what’s currently on the market, no matter the type of AI marketing software. 

Similar Posts