Salesforce signed a definitive agreement today to buy Loops, an AI analytics platform that tracks business results and uses machine learning to explain changes in important metrics. The company plans to add Loops’s technology and specialist staff to Tableau once the acquisition closes, putting performance analysis at the center of its latest analytics deal. Salesforce expects completion in early November of its fiscal year 2027, with the deal still dependent on customary closing conditions.
Loops is designed to keep checking business performance, flag shifts and find potential improvements, rather than leave teams to investigate each changing metric themselves. Its capabilities can be activated through Slack or email, giving users a way to initiate analysis from those services. Financial terms were not disclosed, and the planned move into Tableau remains contingent on completing the acquisition.
Salesforce says Loops can watch key performance indicators continuously and detect both trends and unusual changes, then proactively identify the factors behind those movements. Beyond identifying a change, the platform is intended to explain its causes and suggest what a business could do next. The company describes those functions as part of its push toward analytics that help customers choose actions and carry them out within their existing work.
For Tableau, Salesforce’s stated aim is to expand from helping customers understand data toward analysis that supports action by both people and AI agents. Salesforce says the acquisition will help customers determine which factors drive business results and decide which responses deserve priority. It also plans to use the incoming technology and talent to help Tableau customers find reliable insights and improve decisions based on their data.
The agreement follows Salesforce’s September 29 deal to acquire Listen Labs, a platform focused on AI customer research and human simulation. In that earlier announcement, Salesforce described agents that create studies, carry out detailed research and assemble findings from customer feedback, with the company claiming the process could shrink from months to days.
