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Our Mission
Kinetik provides advanced analytics to enterprise B2B tech companies with complex sales cycles that support reinvention of go-to-market engines that align with how buying groups want to engage in the era of AI.
About Us
Kinetik brings data science to RevOps for Enterprise B2B tech companies
Data Science Experiments
- Conversion Attribute Analysis
- Buying Group Compositioon
- Engagement Success Patterns
- Marketing Mix
- Next Gen Campaign analytics
- RevOps IQ
- AI Attribution Models
- Dynamic Segmentation
Our Team
Team Kinetik is composed of go-to-market strategy experts and brilliant and fearless data scientist
David Hughes
Director
Li Fu
Full Stack Developer
Asna Muzafar
AI / Data Science
Yuvraj Jain
Full Stack Developer
Hamza Nawaz
AI / Data Science
Kennon Acks
Revenue Intelligence Analyst
Will Perry
Revenue Intelligence Analyst
FAQ
What is Kinetik?
Kinetik provides revenue intelligence SaaS solutions and services that help enterprise B2B tech companies improve their marketing ROI, increase sales productivity, and optimize their go-to-market performance through AI.
How does kinetik work?
Kinetik integrates with your existing sales, CRM, account, and marketing data sources to provide you with insights into your go-to-market engine. These insights can be used to conduct scenario analysis, identify opportunities for improvement, track progress over time, and make data-driven decisions.
What are the benefits of working with Kinetik?
- Kinetik can help you to:
- Improve marketing ROI by identifying which campaigns are driving the most revenue.
- Increase sales productivity by providing your sales reps with the information they need to close deals faster.
- Make resource and mix decisions with a clear understanding of the impact within your go-to-market engine.
- Kinetik can help you to:
What does is cost to engage Kinetik?
The cost of Kinetik depends on the size of your business and your specific needs. Typically, deployment costs for Kinetik are a fraction of a consulting project ($2M) or development of a custom data science model ($500K).
How is Kinetik different than DataRobot?
Kinetik is different from DataRobot and other pure data science consultancies in that they focus specifically on data science and analytics for go-to-market engines of technology companies. They can work with DataRobot, our’s in-house data science team, or preferred consultants to accelerate project delivery and their solution is designed to be used on an ongoing basis for insights across the go-to-market engine.
What if our marketing ops, sales ops and client success teams have separate data and reporting?
Centralized ownership of data and foundational reporting across the go-to-market engine is absolutely crucial. Kinetik showcases the value of these insights and provides evidence for tighter integration. Kinetik demonstrates the specific value of an integrated G2M data model through various analytical methods, including time series analysis, cluster analysis, opportunity lifecycle analysis, and Monte Carlo simulation. Kinetik’s focus on time series analysis complements existing point-in-time reporting, offering a comprehensive view of data trends over time. The results of the PoC can inform the design of an integrated G2M data model for enhanced decision-making.
What are the data access requirements from our Sales and marketing Operations teams?
We require weekly snapshots of Salesforce pipeline data for the last 52 to 104 weeks, weekly activity reports from Eloqua for the last 52 to 104 weeks, and access to weekly Revenue Operations (RevOps) reporting for the same time period. Having access to this historical data is crucial for conducting comprehensive analyses and deriving meaningful insights.
How is kinetik different than strategy consulting firms?
- Marketing leading strategy and operations consulting practices are able to perform sophisticated scenarios analysis to support transformational programs. The cost of a single project often exceeds $2M. In addition, the insights developed during the course of the engagement walk out the door with the consulting team. The foundational analysis used to develop the recommendations is rarely leveraged for the net multi-million dollar decision.
- Kinetik’s foundational model gets smarter every week with automated data ingestion from CRM, marketing, and revenue operations software. When things change or the board asks for a three week turnaround on a strategic opportunity, Kinetik customers start with the analytics 80% complete. The work to define the resources, actions, outcomes and productivity drivers are layered in the Current Course and Speed foundation to support a 3 -5 year revenue forecast.
How is kinetik different than Aviso, Gong, Clari and other RevOps Platforms?
- Venture capital backed unicorns revenue operations ‘RevOps’ software companies including Aviso, Clari and Gong have made great progress evangelizing Kinetik and working with customers to adopt an end-to-end view of their go-to market engines. They have improved workflow across sales and marketing and brought insight into important tasks in the G2M engine including sales coaching.
- While they do have short term forecasting capabilities, their approach is to improve the win percentages associated with sales opportunities currently in the pipeline. This can be helpful for in quarter forecasting, however, it does not address the 3 -5 year forecast required to support strategic scenario analysis. Further, their Kinetik generated forecasts are regression based time series predictions that can not be explained to understand cause and effect across the end-to-end G2M engine.
Will we have to teach Kinetik how to interpret our go-to-market vernacular and data architecture?
While Kinetik may not have specific experience with your data, they do have extensive experience working with Salesforce data and other sales and marketing data sources. They also have a deep understanding of the software industry and can apply their expertise to recommend best practices in data collection, sales methods (e.g. MEDDIC), and data architecture and integration strategies across systems.
Our sales ops doesn't have time to teach Kinetik how to interpret the data.
Kinetik will work with the marketing applied insights team. Their solutions are designed specifically for providing insights into go-to-market engines of technology companies. Their team is staffed with experts in the Salesforce and Eloqua data models and experience with market leading sales and marketing data architectures and data objects accelerates the learning curve for our specific methods and deployments.
What is required from our Sales Operations team to maximize learnings from the Kinetik PoC?
Kinetik requires access to weekly snapshots of Salesforce pipeline data, weekly marketing activity reports from Eloqua, and access to weekly RevOps reporting for the last 52 to 104 weeks to conduct thorough analyses. Participation in the steering committee or executive advisory team from our Sales Operations ensures alignment of objectives and priorities. Assigning a team member or DataRobot resource to act as a core or extended team member will facilitate seamless collaboration and knowledge transfer between teams, enhancing project effectiveness.
Q: Why should one organization own data and foundational reporting across the G2M engine?
It’s essential for efficient operations and strategic decision-making to have a centralized authority overseeing data and reporting. This ensures consistency, accuracy, and alignment across various functions across the Go-to-Market (G2M) engine.
Does Kinetik offer proof-of-concept projects to demonstrate the value of their revenue intelligence solutions?
Kinetik can deploy a Proof-of-Concept project to showcase the value of insights derived from an integrated G2M data model. This initiative is likely to serve as a proof point for advocating tighter integration, emphasizing the importance of comprehensive data analysis for informed decision-making
How does Kinetik's focus on time series analysis complement existing reporting?
Kinetik’s focus on time series analysis adds depth to existing point-in-time reporting. By analyzing data over time, Kinetik can uncover trends, patterns, and insights that traditional reporting may overlook. The results of the PoC will help inform the design of an integrated G2M data model that incorporates both point-in-time and longitudinal analysis.
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