Squirro has announced that it has been included in Forrester Research, Inc.’s “Master The Mechanics Of Analytics For Revenue Growth” report, published on 16 August 2018. The report examines common revenue-supporting objectives for B2B customer insights (CI) leaders supporting marketing and sales as well as “how-to” analytical techniques to drive these objectives. Squirro is a leading Augmented Intelligence solutions provider.
Squirro’s real-time 360-degree client cockpit provides a holistic and comprehensive understanding of the customer journey.
At the time of this announcement, Dorian Selz, CEO and Co-founder of Squirro, said, “This report helps marketers and sales teams understand the different analytical approaches that are used to support intelligent targeting. These analytical techniques provide greater power in extracting data from a wider range of sources and provide contextual analysis on specific customers.”
Dorian added, “Squirro helps customers with generating relevance and insight from unstructured and structured data to create actionable insight.”
According to the report; “Product affinity analysis leverages product purchase data to uncover patterns that indicate products that are often purchased together. Popularized by Netflix and Amazon-type experiences, this method provides customers with personalized and relevant products and offers to increase product adoption per customer.
The report also adds that “Squirro, has used this technique to help a financial firm determine the best financial instruments for individual customers and reveal the best three to four options to present to the user. This analytical method is foundational for upsell and cross-sell analysis.”
Currently, Squirro provides Augmented Intelligence solutions. Its unique technology marries Artificial Intelligence, Machine Learning, and predictive analytics, empowering organizations to transform enterprise data into AI-driven insights. Organizations using Squirro take advantage of its ability to source leads and recommend the next best action in an automated way.