If you want a platform that can pull data from multiple sources to get a better idea of who your customers are, CustomerIQ is worth a look. This AI-powered platform pulls data from Slack, Hubspot, Zendesk, Intercom and other sources through native integrations and API connections. It can also use AI to extract highlights, filter and search data so you can get a better handle on customer information. The platform also can be used to align teams and collaborate on documents, and it's designed to be secure and scalable.
If you want to predict what customers are likely to do and personalize your interactions accordingly, Faraday is a good option. It can pull in data from a variety of sources, including CSV files, AWS Aurora and Google Ads, and give you a unified view of customer behavior. It offers features like lead scoring, churn prediction and adaptive discounting, all backed by strong security and privacy controls. It's good for companies that want to improve customer retention and boost revenue by better understanding their customers.
Last, Eclipse AI aggregates and analyzes customer interactions from online reviews, surveys, emails and other sources. It can offer location-specific insights and use AI to make decisions, and it integrates with more than 50 tools to offer recommendations. It's designed to free up time that would otherwise be spent manually analyzing data so companies can focus on making changes and keeping them consistent across different locations and channels.