Intelligence

Kinetik Intelligence

Kinetik Intelligence features the only go-to market insights engine built exclusively for Enterprise B2B tech companies. A combination of AI methods are employed to determine the most impactful actions given the sensitivity analysis and constraining factor insights ingested from Kinetik Scenario and Discover.

Machine learning algorithms analyze enterprise data including digital engagement, response, lead generation, lead scoring, lead qualification, opportunity creation, and opportunity progression velocity
Detailed digital models of the go-to market engine drive prioritization of initiatives to improve productivity and identify resource constraints with greatest potential for significant improvement.

$ 2000 Monthly

Includes 5 Users
Weekly outcome updates for continuous learning
Integration with CRM, SFA, Marketing Cloud, and Third-party intent systems

AI Solution

“We are experiencing a Sea Change in Enterprise B2B tech buying. The way enterprises make purchase decisions has changed dramatically over the last five years; more executives involved, a greater number of touchpoints – both digital and in person, and a shift toward more self-service across the buying process. Working with Kinetik, BMC is deploying a next generation of GTM metrics to reflect this change in how we design and execute our GTM motions.”

Chief Revenue Officer
Enterprise B2B Software

TBD

Chief Marketing Officer, $2.5B Enterprise Software

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Kinetik stands out relative to pure play data science service providers in that they bring a deep understanding of Enterprise B2B go-to-market dynamics. This allows them to understand our challenges and design data science experiments highly tuned to our key issues.

We are modernizing the end-to-end go-to-market engine to build the data foundation for AI and refresh the tech stack to support automation and personalization. Kinetik is supporting this transformational initiative with data science driven micro-project that deliver near term value and inform the broader GTM transformation.

We realized that limitations in the data architecture was limiting our ability to discern cause and effect across the end-to-end go-to market model. Working with Kinetik, we are able to integrate customer, account, response, lead, opportunity, and third-party intent data to identify the success patterns for customer and prospect

Kinetik brought a combination of go-to-market strategy, domain expertise, and data science talent to accelerate proof points for our deployment of RevOps and revenue intelligence to support our overall go-to-market transformation.

Kinetik go-to-market optimization software

DIY? Access Kinetik’s library of analytics and visualizations to jumpstart your data science foundation of your go-to-market transformation

Discover

Data science driven insights illuminate tactical performance within the end-to-end G2M perspective through cluster analysis, attribution, and lifecycle insights.

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Architect

Design the blueprint for aggressive revenue growth by defining resources, actions, and outcomes for the scenario

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Scenario

Analysis of won opportunities to determine the engagement dynamics and buying center compositions that most and least often result in wins and losses

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Kinetik Intelligence AI Recommendation Engine suggests proven tactics and methods with greatest impact on historical performance

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Perspective

Role based insights for executives with operational responsibility across the G2M model; from sales to marketing to strategy to channels

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Foundation

Credibility requires a foundation built on a deep understanding of G2M design with granular performance history through time series analysis of weekly sales and marketing outcome data

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Data

CRM, Digital, Customer, Account, NPS, marketing, revenue, and cost data ingested through file uploads, REST APIs, or accessed through your data lake

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