Infer Launches Tool to Predict Imminent B2B Buys

Predictive technology platform Infer Inc. has launched an 'account behaviour scoring' solution, which links to companies' CRM systems, analyzes individual accounts showing increased activity and then predicts which will buy a particular product within a set time period.

Infer uses data science to model untapped enterprise data, along with thousands of signals from the web. Built on the company's lead behaviour and account fit scoring models, the new 'Account-Based Behavior Scoring' solution enables marketers to focus their campaigns on those B2B deals that are most likely to close quickly. Using the tool, marketers can analyse the quality of their account-based marketing (ABM) campaigns in real-time, and use this information to test various content, brand assets, channels and initiatives.

The solution studies signals across the buyer's journey, including data about e-mail engagement, web behaviour, and user-defined events. This is analysed daily to predict imminent conversion events based on the timing of each action, activity spikes or declines, sustained engagement and key behavior combinations.

CEO and co-founder Vik Singh (pictured) comments: 'Our newest predictive models empower sales and marketing teams with previously unattainable ABM metrics that show which accounts - and specifically which contacts at each account - are expressing the highest levels of marketing engagement. We deliver this unprecedented transparency by using advanced machine learning to produce crystal-clear predictions that make it even easier for any business to identify whitespace gaps in its pipeline and find high-potential target accounts that deserve more attention sooner rather than later'.

Web site: www.infer.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.