Infer can help you spot and avoid underperforming metrics with its predictive AI technology that fits right into your existing workflow. The service lets you understand and optimize your key performance indicators (KPIs) by tapping into a variety of data sources.
Infer has a number of features to meet different business needs. Its lead scoring feature uses machine learning to score leads for their likely conversion value, for example, to maximize conversion rates and revenue. For customer retention, Infer uses AI to spot users likely to churn so you can take action to keep them engaged and loyal. The service also offers features for lifetime value prediction, feedback, segmentation, product reviews, A/B testing, causal inference, demand forecasting and logistics optimization.
Infer integrates with a variety of big data connectors, including Snowflake, Azure, Google, Hubspot, dbt, Big Query, Salesforce, Redshift and Google Sheets. The integrations let you read data from the sources and write data to them, too.
Customers have reported improvements with Infer. Bruntwood said it shortened its sales cycle by a week per deal, a change that's saved it more than $100,000 a year. Elsevier and former Meta analyst Simon Landsman said the tool is easy to use and offers features that analysts can't get out of other tools.
Infer doesn't detail its pricing, but you can contact the company to try a free trial or schedule a demo to learn more about costs.
Infer is trying to make AI available to all businesses, not just those with the biggest budgets. For example, it's a partner with Microsoft Azure. You can find it on the Azure Marketplace, which makes it easier to integrate.
In short, Infer is a versatile tool that uses predictive AI to help you with everything from lead scoring to product reviews to pricing optimization. With its many integration options and relatively simple interface, Infer can help you optimize your operations and make data-driven decisions.
Published on June 9, 2024
Analyzing Infer...