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Want to stay abreast of the latest Revenue Growth Analytics thought leadership by Revology?
Smart Pricing and Revenue Growth Management for Auto Service, Repair and Tire Retailers
Join us for an insightful session as we explore smart pricing and analytics strategies tailored for tire & repair shops. Learn how to optimize pricing and discounting to drive car count, sales, and enhance profitability. This webinar is especially geared toward multi-location, regional, or super-regional/national retailers, as well as private equity operators in the space, looking to drive profitable growth.
Supercharge Your Revenue Growth Management with Knowledge Graphs
Learn how to leverage in-house Knowledge Graphs to optimize your Pricing, Promotions, and Marketing efforts and uncover unique, actionable business insights substantially faster than traditional data structures and analytics currently allow.
The webinar is tailored for Revenue Growth Management (RGM) / Pricing, Commercial, and Analytics/Data Science leaders in CPG. Nevertheless, all industry participants from those domains are welcome as the content is highly relevant.
2023 Revenue Growth Analytics Maturity Review
Dive into the comprehensive "2023 Revenue Growth Analytics Maturity Report" with our detailed webinar. This session covers key industry capabilities, strategic insights, and best practices in Margin Analytics & Optimization, Promotion Effectiveness, and Sales & Customer Growth Analytics.
Leveraging Meta's Robyn for Effective Marketing Mix Modeling
Unleashing the Power of Data-Driven Marketing in a Post-Cookie World
In a marketing landscape adapting to the demise of 3rd party cookies, making sense of your marketing channels is not just vital; it's challenging.
Marketing Mix Modeling (MMM) offers a strategic, comprehensive view of marketing performance, free from the constraints and challenges of cookie-based tracking.
How to Build an Effective B2B Price Elasticity Model (in under 90 minutes)
Understanding the business impact of price changes and promotional investments is crucial for effective revenue management. In this webinar, we'll guide you through building a B2B Price Elasticity Model in under 90 minutes, using both Linear Regression and Machine Learning methods. Learn how to increase price realization, optimize inventory, and drive net sales and gross profits. Attendees will receive a comprehensive blueprint and R code to implement in their organizations.
How To Build a B2B Margin Analytics & Optimization Platform (in under 90 days)
A 1% Net Price realization can drive, on average, an 11% improvement in Operating Profits, making Pricing the most critical business lever.
To achieve this, robust Margin Analytics & Optimization capabilities are essential.
These capabilities help control price discounts, reduce variability in margin profiles, and empower sales teams with rapid pricing insights. Using open-source tools like R and Python, along with self-serve BI tools like Tableau and Power BI, organizations can build a best-in-class Margin Analytics platform efficiently.
Driving Pricing and Discounting Discipline with Margin Analytics (in Tableau)
Discover how to build a B2B Margin Analytics & Optimization platform in Tableau, addressing key pricing and discounting challenges. Learn to identify Gross Profit drivers, coach your Sales team, and optimize discount strategies to boost Net Sales and profitability. Watch now for actionable insights and practical solutions.
Accelerating your Commercial Analytics Workstreams with ChatGPT
GPT-4 is already starting to reshape the field of commercial analytics, and we at Revology Analytics are huge proponents of it.
In our recent webinar titled "GPT-Powered Speed: Supercharging your Revenue Analytics," we delved deep into how GPT-4 is a game changer for analytics teams. More specifically, we explored GPT-4's ability to accelerate productivity around diagnostic and predictive analytics for Revenue growth problems.
In addition to exploring how to create the perfect prompts for analytical workstreams, we provided hands-on examples in Python using simulated data sets for things like Price Elasticity modeling, Cohort Analyses, and Churn Modeling.
We have the full recording available here for those who missed the live session or wished to revisit the insights.