Top AI Tools For Marketing Research Strategy In 2024

Businesses using AI tools for marketing research have reported significant improvements in customer engagement, conversion rates, and revenue growth. IBM watsonx, Google Cloud AI, and Salesforce Einstein Analytics are the leaders in data analysis, predictive modelling, and customer sentiment research. What are the other top AI tools for marketing research strategy?

Recent reports from market research firms like Gartner, Forrester, or McKinsey, show that businesses using AI in marketing research can increase efficiency by up to 35% and achieve higher ROI.

Global retailers like Amazon, Carrefour, Sephora, and Walmart saw about a 20% increase in sales conversion rates when they implemented AI-driven analytics to enhance customer segmentation. 

Financial services providers like Sundaram Finance, Upstox, Trumid, and SoFi used AI-powered chatbots to streamline customer support, reducing response times by 50% and increasing customer satisfaction.

So, what is AI in marketing research strategy and how does it help businesses?

AI in marketing research refers to applying artificial intelligence technologies to gather, process, analyse, and derive insights from large volumes of data related to consumer behaviour, market trends, and competitive landscapes. It enhances traditional market research methods by automating data collection, enabling predictive analytics, and facilitating real-time decision-making, thereby improving marketing strategies' effectiveness and efficiency.

Leading tech companies leverage AI in marketing to enhance customer engagement, refine ad strategies, and drive business outcomes. Amazon uses AI to deliver personalised recommendations based on customer browsing and purchase histories. They also utilise AI for demand forecasting, optimising inventory management and logistics planning.

IBM watson Marketing's AI-driven analytics and predictive modelling tools empower marketers to anticipate customer needs, optimise marketing strategies, and deliver personalised experiences that drive better customer engagement and outcomes.

Google integrates AI and machine learning into Google Ads, refining ad targeting and bidding strategies by analysing user behaviour and intent signals. Their Smart Campaigns automate ad creation and optimisation, particularly beneficial for small businesses. 

Microsoft uses Azure AI for services like sentiment analysis and customer segmentation, empowering marketers with actionable insights. Dynamics 365 AI for Sales assists in lead identification and personalised customer interactions.

Data processing and analysis using AI tools for marketing research strategies

AI excels at processing and analysing large volumes of data quickly and accurately. This capability enables marketers to extract meaningful insights from complex datasets that human analysis might overlook. 

Advanced AI platforms like Salesforce Einstein Analytics empower marketers to navigate extensive customer data. Spotify uses AI to dissect user listening habits, generating insights that inform personalised recommendations and enhance user engagement. 

Tesla employs AI-powered analytics to interpret real-time data from its fleet of vehicles, facilitating proactive maintenance and service improvements based on predictive insights.

Predictive analytics using AI tool in marketing research strategy

AI-powered predictive analytics forecast future trends based on historical data. By identifying patterns and correlations, marketers can anticipate customer preferences and behaviours, enabling proactive campaign adjustments and personalised marketing efforts.

Nike employs AI tools to analyse customer data and predict fashion trends, enabling proactive inventory management and targeted marketing campaigns to capture market demand effectively. 

Netflix uses predictive analytics to forecast viewer preferences, influencing content creation and personalised recommendations, enhancing user engagement and retention. Airbnb utilises AI to forecast demand and pricing trends based on historical booking data. 

How do AI tools in marketing research strategy enable enhanced customer understanding?

AI tools facilitate a deeper understanding of customer sentiments, preferences, and purchasing behaviours through sentiment analysis, social listening, and behaviour prediction models. These insights help marketers tailor their messages and offerings to resonate with target audiences.

Starbucks uses AI-powered sentiment analysis to monitor social media and customer feedback. This helps them understand customer preferences for new products and adjust marketing strategies in real time to enhance engagement.

Coca-Cola employs AI-driven social listening tools to analyse conversations across digital platforms. By understanding consumer sentiments and trends, they refine their marketing campaigns and product innovations to better meet customer expectations.

Here are some of the top AI tools for marketing research strategies:

IBM watson Studio: IBM watson Studio is a comprehensive AI platform that integrates machine learning, data analytics, and deep learning capabilities. It helps marketers analyse large datasets to uncover insights for targeted campaigns and customer segmentation.

Google Cloud AI: Google Cloud AI offers a suite of AI tools, including natural language processing (NLP) and image recognition. Marketers use it to enhance customer interactions through chatbots, sentiment analysis, and personalised recommendations.

Adobe Sensei: Adobe Sensei is Adobe's AI and machine learning framework that powers its creative and marketing solutions. It automates mundane tasks, analyses data for predictive insights, and delivers personalised content to enhance customer engagement.

Salesforce Einstein: Salesforce Einstein is an AI-powered CRM platform that provides predictive analytics and insights. It helps marketers understand customer behaviour, predict outcomes, and automate marketing campaigns for improved ROI.

Copy.ai: Copy.ai is an AI-powered tool for creating content, tailored for marketers to efficiently produce high-quality written material. It assists in crafting engaging copy for advertisements, social media posts, and blog articles by offering templates, real-time feedback, and suggestions.

WriteSonic: WriteSonic focuses on text generation, including features such as converting passive voice to active and generating analogies. It is used to improve readability and create various types of marketing content.

Jasper: Jasper provides over 50 templates for creating social media posts, blog articles, product descriptions, and more. It includes features for SEO evaluation and adjusting the tone of content, catering to a variety of marketing needs.

Zapier: Zapier is an automation tool that connects different apps and services without requiring coding skills. It is used to create automated workflows (Zaps) to streamline tasks such as data entry, file management, and email notifications across more than 3,000 integrated apps.

Automate.io: Automate.io integrates cloud applications and automates workflows through a drag-and-drop interface. It supports over 200 apps and provides pre-built automation templates, making it easy to automate business processes seamlessly.

Hootsuite: Hootsuite simplifies social media management by enabling users to schedule and manage content across multiple platforms from a centralised dashboard. It offers robust analytics for monitoring campaign performance and refining social media strategies.

Sprout Social: Sprout Social is a comprehensive social media management platform featuring a unified inbox, scheduling tools, and advanced analytics. It helps businesses manage social media interactions, schedule posts, and analyse engagement metrics.

Customfit.ai: Customfit.ai is an AI-powered platform for personalisation that analyses customer data to deliver bespoke marketing strategies. It segments audiences, predicts behaviour, and optimises content delivery to enhance customer engagement and conversions.

Any Summary: Any Summary is a tool for quickly analysing and summarising large volumes of information from various sources. It provides summaries in different formats and is used to extract key insights from documents, articles, or online content.

Mailchimp: Mailchimp is an email marketing platform designed to simplify the creation, delivery, and analysis of email campaigns. It features a user-friendly interface for designing professional emails, audience segmentation tools, and advanced analytics to optimise email marketing efforts.

Future Trends in Marketing Research Strategy

Emerging technologies such as augmented analytics, AI-powered voice search optimisation, and hyper-personalised customer experiences are reshaping marketing research strategies. Augmented analytics integrates AI and machine learning to automate data processing and generate actionable insights swiftly and accurately. This empowers marketers to make informed decisions based on deeper, more nuanced understandings of consumer behaviour and market dynamics. Meanwhile, AI-powered voice search optimisation enhances content visibility in voice-enabled environments, catering to the growing number of users relying on virtual assistants like Siri and Alexa for information.

These trends highlight a shift towards dynamic, data-driven approaches that prioritise real-time insights and personalised interactions. By using these technologies, businesses can enhance customer engagement, improve conversion rates, and promote long-term customer relationships in an increasingly competitive digital landscape.