How Codeless AI Can Aid Marketers

With codeless AI, marketers can now run experiments, discover insights, and take actions at a previously impossible pace

Before its widespread use, artificial intelligence (AI) was treated merely as an experiment that only data scientists or coders would engage with. Today, data is generated from social media posts to user interactions with an application, and the notion that only data experts understand the meaning behind the data and create algorithms that will meet the user’s needs is gradually changing. AI that was once considered a “black box” experiment is now being normalised through the use of Codeless AI tools.

Marketing has become one of the most data-driven functions in organisations today. With the pandemic expediting the digital-first transformation, marketers are being flooded with consumer data that they need to make sense of and act on quickly. Codeless AI can be leveraged to help in such cases efficiently.

Using Codeless AI For Marketing

Big data,  at times, can become too much for marketers to analyse and interpret manually. Fortunately, today AI systems can help analyse massive amounts of data. AI is up for any task, as additional computing resources can be added in the background to scale up the operations. New and enhanced AI tools bridge for technology that once seemed to be reserved for large corporations are now becoming accessible to any marketing team. Marketers can now make quicker decisions from large quantities of data without the time, cost, and expertise barriers that were previously required.

Image Source: Akkio AI

Data scientists and marketers can now collaborate to build a marketing codeless AI infrastructure that comprises dozens of pre-trained AI models. These created models can be further fed with relevant big data, provided by marketers, and later trained by data scientists to perform required marketing actions upon meeting pre-defined conditions set by the marketers. Tuned and perfected AI systems are deemed ready to start executing actions, so the end customer, an enterprise or brand, has to directly deploy the required AI system to achieve their marketing objective.

Marketers can choose the AI system based on their immediate objective – targeting, creative analysis and generation, monitoring, optimisation, reporting and analytics. A robust codeless AI infrastructure enables the required depth, by allowing marketers to choose the required model or combination of models they want to deploy for the selected AI system.

Where Can It Help?

A codeless AI infrastructure offers several benefits such as automation, marketing measurement, personalisation, reducing errors, and making faster decisions. Making use of a codeless AI, the limitless potential to automate tasks, enhance cost efficiency, and time-saving capabilities can be harnessed across several powerful use-cases.


Automation frees up time from several repetitive tasks. By creating an automated AI model, marketers can spend more time developing creative campaigns and strategies to grow their business. AI automation can help marketers with almost all issues by aiding in two things – r  sorting and automating. Using AI, marketers can automatically identify the most suitable leads present for a business and route them directly to the right people. Chatbots are another example of AI automation. They are increasingly being used today to automate everything from booking appointments and upgrading a subscription to providing customer support in real-time. From Amazon Alexa and  Apple’s Siri to help buttons on websites, chatbots have processed billions of minutes of voice and text conversation. Countless apps are now leveraging AI technology to improve the customer experience.

Churn Prediction

Businesses today mainly focus on generating leads and closing new business, but minimising churn rate is as important. If lead generation is plateauing, but churn is still a problem, as it is for most businesses, then the business will inevitably start losing capital. Through codeless AI implementations, marketing teams can themselves build personalised churn prediction models that would help discover which customers are most likely to churn next and turn the insight into action. Teams can now reach out with targeted attention or solutions to save those customers. In longevity, the marketing analytics marketers gain from this activity can help businesses fix the underlying causes of churn.

Sales Funnel Optimisation

Many businesses have large scale sales funnels that allow them to capture leads and nurture them later into more sales expansively. With wealth of customer data available through better data collection methods, it is possible to customise the entire process based on historical purchases. Many businesses are moving towards using AI in marketing to take customers through a personalised journey down the sales funnel. ‍Sales funnel optimisation (SFO) is a great way to make sales jobs easier by finding sticking points in the funnel and ultimately closing more deals. Companies armed with an AI-powered SFO will naturally provide an advantage over competitors that are stuck due to inefficient, manual or often incorrect rules-based methods. Codeless-AI can help achieve the same.

When planning any investment in AI, especially in the case of marketing, it is essential to identify first where the AI might fit into the overall strategy. AI is already disrupting the marketing and consumer research space, and A codeless AI infrastructure is an efficient way to reach the ambit and extend a bit more. With codeless AI, marketers can now run experiments, discover insights, and take actions at a rapid pace. A thoughtfully designed codeless AI infrastructure will only complement and further accentuate today’s marketer’ skills.

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