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InsightSquared Unveils New Revenue Intelligence Solutions to Drive Predictable Company Growth at Ramp 2019

InsightSquared Announces New Solutions That Equip Revenue Operations with End-To-End Platform Capabilities for Marketing, Sales Forecasting, and Customer Success

InsightSquared, the leading provider of revenue intelligence solutions, has kicked off its annual revenue operations conference, Ramp, taking place on Thursday, June 13 – Friday, June 14, 2019, at the Revere Hotel in Boston. This morning, the company unveiled several new solutions focused on helping revenue operations professionals make better decisions by equipping them with actionable, real-time intelligence that drives predictable growth. Ramp is bringing together more than 500 sales, marketing, and revenue operations practitioners, along with the leaders they advise.

“Using a combination of information from my sales management team, the new AI Forecast capability from InsightSquared, and some gut instincts based on experience, I can accurately determine my bookings forecast”

“The many solutions available today that aim to provide specific capabilities for revenue operations professionals confirm that analytics is critical for companies to be successful,” said Fred Shilmover, CEO of InsightSquared. “InsightSquared is the vendor that is providing the one, comprehensive suite of revenue intelligence solutions that enables predictable company growth. We are excited to come together at Ramp in Boston this week to announce new capabilities all focused on delivering best practices required to meet the demands of today’s go-to-market teams.”

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InsightSquared’s new Forecast Submission solution enables sales leaders to input and review team member forecasts to discuss, interpret, and predict what is happening across the business. The easy-to-use and read interface simplifies roll-ups and results in more reliable forecasts.

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“It’s great to have one place for my team to input their forecast commits,” said Seth Lieberman, CEO of SnapApp and speaker at Ramp. “With InsightSquared, I have real-time visibility into where we are compared to our goals and can take proactive actions to fill the gaps and drive results.”

The company also announced new AI-powered forecasting, its new forecasting capability. AI Forecast provides a monthly or quarterly sales forecast powered by the company’s robust machine learning algorithms tuned for your business.

“Using a combination of information from my sales management team, the new AI Forecast capability from InsightSquared, and some gut instincts based on experience, I can accurately determine my bookings forecast,” said Steven Keilen, VP of Sales and Customer Success at InsightSquared. “My forecast has consistently been within 5% of what I committed to, which makes our business more predictable, my job easier, and my CEO happy.”

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Additional announcements include InsightSquared’s integrated Customer Success Solution which provides the customer success function with predictive capabilities, reports, and pre-built dashboards. This enables customer success teams to view overall SaaS metrics, manage churn, and forecast renewals. The company also announced the Demand Unit Waterfall Dashboard based on the SiriusDecisions framework measuring demand using buying groups. It measures volume, velocity, and conversion of pipeline for groups of buyers versus individual leads. Other new InsightSquared capabilities include additional insights such as pipeline velocity, an improved interface for business users, and the ability to access data via APIs.

Keynotes for Ramp include Steven Spear, Senior Lecturer at MIT Sloan School of Management and author of, “The High Velocity Edge,” and Colin Nanka, Senior Director of Sales Enablement at, well known for competing in ultramarathons in the world’s most treacherous terrains and spreading the message to “Defeat Average.” Sessions are conducted by thought-leading practitioners with the goal of leaving attendees with takeaways they can bring back to their own businesses and implement with immediate time to value.

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