Kinetik Discover
Enterprise B2B Tech GTM engines typically utilize over 20 interdependent GTM motions; ranging from digital inbound to outbound to account-based marketing.
Time-series analysis across the full marketing and sales lifecycle of an opportunity (104 weeks)
Understand market dynamics by segment and go-to-market motions
Understand most and least successful engagement patterns by GTM motion, segment and product
Kinetik Discover
Revenue Intelligence SaaS
$
500
Monthly
- Unlimited Users
- Insights updated weekly
- Integrated with CRM, SFA, Third-party intent, and digital engagement systems
DEMO
Schedule a 15 minute discussion to explore whether this solution is right for you
Popular
“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.”
Why Simulation Software Solutions Matter
At Kinetik, we build simulation software solutions tailored to industry-specific needs.
Chief Revenue Officer
Enterprise B2B Software
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.
Features
- Analysis of response, lead, opportunity , segment, and account conversion rates from digital engagement to closed opportunities
- End-to-end visibility of go-to-market engine performance from initial engagement to sales outcome
- Interactive visualization with ability to filter by product, channel, campaign, or segment
Benefits
- Understand GTM dynamics of current and potential market segments
- Assess historical performance of marketing tactics and digital offers
- Evaluate conversion rates across segments, campaigns and GTM motions
Kinetik go-to-market optimization software
DIYer? 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.
Architect
Design the blueprint for aggressive revenue growth by defining resources, actions, and outcomes for the scenario
Scenario
Analysis of won opportunities to determine the engagement dynamics and buying center compositions that most and least often result in wins and losses
Intelligence
Kinetik Intelligence AI Recommendation Engine suggests proven tactics and methods with greatest impact on historical performance
Perspective
Role based insights for executives with operational responsibility across the G2M model; from sales to marketing to strategy to channels
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
Data
CRM, Digital, Customer, Account, NPS, marketing, revenue, and cost data ingested through file uploads, REST APIs, or accessed through your data lake
