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Blog / 12 AI Marketing Tools and What They Do

12 AI Marketing Tools and What They Do

The dynamic landscape of data analytics is experiencing a profound transformation driven by the integration of AI in marketing. As businesses seek to streamline operations and make swift, data-driven decisions, an array of AI marketing tools has emerged. 

In this article, we’ll explore some of the top AI marketing tools for data analytics and what you can do with them, and we’ll also introduce a few newer players that contribute to efficiency and innovation.

Top AI marketing tools in 2024:

 

Julius AI logo

1. Julius AI

Who is it for: Data analysts and business intelligence professionals.

Category: Predictive analytics.

What does it do: Julius AI is an AI-powered data analysis tool that uses machine learning to analyze and visualize data, identify patterns, and make predictions.

What can you do with AI in Julius AI:

  • Predictive analytics to forecast future trends and customer behavior.
  • Data visualization to create interactive and insightful dashboards.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: Automated anomaly detection.

Website: Julius AI

 

Akkio_Logo

2. Akkio

Who is it for: Data analysts, business intelligence professionals, and data scientists.

Category: Predictive analytics.

What does it do: Akkio is an AI-powered data analysis tool that uses machine learning to analyze and visualize data, identify patterns, and make predictions.

What can you do with AI in Akkio:

  • Predictive analytics to forecast future trends and customer behavior.
  • Data visualization to create interactive and insightful dashboards.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: Automated data modeling.

Website: Akkio

 

hypotenuse ai

3. Hypotenuse AI

Who is it for: Content marketers and SEO teams.

Category: Content analysis.

What does it do: Hypotenuse AI is an AI-powered content analysis platform that uses natural language processing to extract insights from documents and provide a quick summary.

What can you do with AI in Hypotenuse AI:

  • Content analysis to identify and optimize high-performing content.
  • Topic modeling to identify and target relevant keywords and topics.
  • Campaign optimization to improve the performance of content marketing campaigns.

Unique feature: Automated content scoring.

Website: Hypotenuse AI

 

ataccama

4. Ataccama

Who is it for: Data analysts, data engineers, and data stewards.

Category: Data management.

What does it do: Ataccama is an AI-powered data management platform that provides data quality, master data management, and metadata management solutions.

What can you do with AI in Ataccama:

  • Data quality management to identify and resolve data quality issues.
  • Master data management to create and maintain a single, trusted view of master data entities.
  • Metadata management to catalog and govern data assets across the organization.

Unique feature: Data lineage and impact analysis.

Website: Ataccama

 

alber ai

5. Albert.ai

Who is it for: Marketing teams and data analysts.

Category: Marketing automation.

What does it do: Albert.ai is an AI-powered marketing automation platform that uses machine learning to optimize marketing campaigns and customer interactions.

What can you do with AI in Albert.ai:

  • Predictive analytics to forecast future trends and customer behavior.
  • Campaign optimization to improve the performance of marketing campaigns.
  • Personalization to tailor marketing content and messaging based on customer behavior.

Unique feature: Automated campaign management.

Website: Albert.ai

 

adverity-logo-blue

6. Adverity’s Enrichment Copilot

Who is it for: Data analysts, data transformation teams, and marketers.

Category: Data transformation and cleaning.

What does it do: Enrichment Copilot is an AI-powered assistant that helps users transform and clean data efficiently by providing step-by-step instructions in simple English, eliminating the need for coding knowledge.

What can you do with AI in Enrichment Copilot:

  • Transform data by indicating requirements in plain English.
  • Receive step-by-step instructions tailored to specific transformation needs.
  • If your data transformation requires code, the Enrichment Copilot generates it for you - no regex or coding knowledge required.
  • Troubleshoot data enrichment processes efficiently.

Unique feature: Simplified data transformation through natural language interaction.

Website: Enrichment Copilot by Adverity

 

 

 

coefficient-logo

7. Coefficient

Who is it for: Marketers and data analysts.

Category: Data visualization.

What does it do: Coefficient is an AI-powered analytics platform that helps marketers analyze and visualize their data to gain valuable insights and make data-driven decisions.

What can you do with AI in Coefficient:

  • Predictive analytics to forecast future trends and customer behavior.
  • Customer segmentation to identify and target specific customer groups.
  • Campaign optimization to improve the performance of marketing campaigns.

Unique feature: Dynamic dashboarding and reporting.

Website: Coefficient

Looker Studio Logo

8. Looker

Who is it for: Marketing teams and data analysts.

Category: Business intelligence.

What does it do: Looker is a business intelligence and data visualization platform that uses AI to help marketers analyze and understand their data.

What can you do with AI in Looker:

  • Natural language processing to ask questions and receive insights from data.
  • Predictive analytics to forecast future trends and customer behavior.
  • Data modeling to create and optimize marketing strategies.

Unique feature: Data exploration and discovery.

Website: Looker

 

tableau

9. Tableau

Who is it for: Data analysts, business intelligence professionals, and data scientists.

Category: Data visualization.

What does it do: Tableau is a business intelligence and data visualization platform that uses AI to help users analyze and understand their data.

What can you do with AI in Tableau:

  • Data visualization to create interactive and insightful dashboards.
  • Predictive analytics to forecast future trends and customer behavior.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: Drag-and-drop analytics.

Website: Tableau

 

microsoft-power-bi

10. Microsoft Power BI

Who is it for: Data analysts, business intelligence professionals, and data scientists.

Category: Business intelligence.

What does it do: Microsoft Power BI is a business intelligence platform that uses AI to help users sort through their data and visualize it for insights.

What can you do with AI in Microsoft Power BI:

  • Data visualization to create interactive and insightful dashboards.
  • Predictive analytics to forecast future trends and customer behavior.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: AI-powered data preparation.

Website: Microsoft Power BI

 

 

 

polymer

11. Polymer

Who is it for: Data analysts, business intelligence professionals, and data scientists.

Category: Predictive analytics.

What does it do: Polymer is an AI-powered data analysis tool that uses machine learning to analyze and visualize data, identify patterns, and make predictions.

What can you do with AI in Polymer:

  • Predictive analytics to forecast future trends and customer behavior.
  • Data visualization to create interactive and insightful dashboards.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: Automated anomaly detection.

Website: Polymer

 

monkeylearn logo

12. MonkeyLearn

Who is it for: Data analysts, business intelligence professionals, and data scientists.

Category: Text analytics.

What does it do: MonkeyLearn is an AI-powered data analysis tool that uses machine learning to analyze and visualize data, identify patterns, and make predictions.

What can you do with AI in MonkeyLearn:

  • Predictive analytics to forecast future trends and customer behavior.
  • Data visualization to create interactive and insightful dashboards.
  • Natural language processing to ask questions and receive insights from data.

Unique feature: Text analysis and classification.

Website: MonkeyLearn

Conclusion

These AI marketing tools leverage advanced analytics and machine learning to streamline data management, boost collaboration. By using AI in marketing, teams can unlock advanced analysis and visualization capabilities, and make data-driven decisions to optimize their campaigns effectively.

 

Make insights-driven decisions faster and easier!

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