MEDDICC value assessment
Understand how improvements in seller productivity through leading sales methodologies can unlock new levels of performance in your Enterprise B2B go-to-market engine
Key Features and Pricing
Features
- Benchmark operational metrics relative to competitors with average, excellent, and best-in-class execution
- Evaluate the impact on go-to-market operational metrics of improved execution of the MEDDICC method
- Understand operational impact of improved execution of MEDDIC in concert with deployment of complementary best practices including personalized content, orchestrated buying journeys, and buying center engagement insights
MEDDICC value SaaS
includes services to develop interactive visualization
$1000
$
700
Monthly -
Data sourcing from up to 5 source systems
-
Includes 2 days / month analytics on demand
-
Executive summary report with benchmarks
DEMO
Pricing varies based on complexity of data, data cleansing required, and development environment. 12 month minimum.
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.”
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.
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