Marketing Mix – Kinetik Simulation

Marketing Mix Optimization

Combination of marketing activity and offers have as much as 50X variability in lead generation and progression. Marketing mix optimization provides a clear forward-looking view of marketing and GTM operational metrics based on updated strategy and improved execution.

Key Features and Pricing

Features

Historical baseline of 104 weeks of time series data to calculate operational outcome baseline
Conversion rate analysis to understand activity, response, offer and prospect attribute impact on productivity
Monte Carlo simulation with interactive visualization with ability to conduct on-going scenario analysis

$2500

$ 2000 Monthly

Data sourcing from up to 5 source systems
Includes three days / month analytics on demand
Executive summary report with benchmarks

Best Value

“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

Learn More

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.

Marketing Mix SaaS

TBD