No Code and Low Code Platforms are Transforming B2B Marketers into Data Scientists

    No Code and Low Code Platforms are Transforming B2B Marketers into Data Scientists

    Low code and no-code platforms enable marketers to become more of ‘marketing scientists’, since they impart marketers the abilities of data scientists.

    Marketing is a very volatile industry, so it is challenging for B2B marketers to make accurate predictions on how the target audience will react to the products or services. Fortunately, they have robust low and no-code platforms to automatically gather customer data at a scale.

    The market survey conducted by research and markets titled “Low-Code Development Platform Market Research Report” predicts that the market size of low code development will approximately reach USD 190,792.6 million by 2030. The marketers that embrace low and no-code tools in their marketing tech stack can analyze the data themselves without the help of data scientists.

    Here are a few ways low code and no-code platforms can transform B2B marketers into data scientists.

    No code and low code platforms give marketers the capabilities of a data scientist

    B2B marketing teams generate a large amount of unstructured data, which needs to be channelized to the right resources to make the right decisions. Low-code platforms are a perfect tool to automate tedious marketing tasks so that marketers can focus on gathering valuable information to propel ideas to enhance the B2B buying journeys. These platforms help to minimize the learning curve for the new resources and become a catalyst for understanding the bigger picture.

    CMOs can also get predictions of which offer will have a higher ROI and evaluate the customer satisfaction and the impact of marketing campaigns on the conversion rates. No code and low code platforms are revolutionizing how the marketing teams understand their target audience and their business by evaluating the information from other sources. With all of these features of low code tools, the CMOs can make strategic data-driven decisions, exactly what data scientists could have done. 

    Also Read: B2B Marketers Should Never Stop Nurturing Customer Relationships

    Natural Language Processing (NLP) to gather client data in real-time

    The marketing teams have robust tools that gather data on the target audience’s behavior in real-time, which assists businesses to forecast the marketing results. B2B marketing teams can integrate low and no-code platforms to incorporate data science into their channels and messaging platforms by integrating NLP into their website chatbots to gather answers to the specific product or service-related questions from the users. These platforms seamlessly integrate with the existing chatbots to identify the common re-phrasing, misspellings, or synonyms of the keywords. Some B2B marketers are embracing customized NLP-driven client buying journeys based on custom logic operators in low-code automation platforms.

    Develop full-funnel analytics for each channel

    B2B Marketing teams find it difficult to unify, segment, absorb and evaluate massive amounts of data. They have to be dependent on data scientists or AI tools to sort data management issues. The CMOs should consider implementing low-code platforms to centralize their different marketing tools and channel data and develop custom reporting processes to accomplish tasks all by themselves. No code or low code tools allows marketers to seamlessly integrate various data sources and dump the data into a common repository like a data warehouse.

    Integrating the low code platforms with business intelligence (BI) tools will assist marketers in generating full-funnel analytics for every marketing channel.

    Low code and no code tools will smoothly shift the paradigm of data science and analytics directly into the marketer’s hands by giving them the capabilities of a data scientist.

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