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Case Studies
Enrico

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.

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Articles
Armin

The Role of Pricing & RGM In Managing Customer Churn

B2B customer churn can silently cripple growth, but many companies overlook its impact and fail to predict it effectively. This blog reveals how embracing proactive, data-driven strategies, especially through Pricing & Revenue Growth Management (RGM), can transform your approach from reactive damage control to strategic, profitable retention. Discover how advanced analytics can help you identify churn risks, optimize pricing, and unlock hidden growth opportunities, safeguarding your P&L and empowering your sales teams.

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Video and Webinar Recording
Armin

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.

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Revology Analytics logo with data visualization background for revenue growth management.
Video and Webinar Recording
Armin

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.

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Video and Webinar Recording
Armin

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.

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Car on stacked coins with percentage symbol, representing auto service profit margins.
Insights
Armin

Optimizing Profit Margins for Auto Service, Repair & Tire Retailers: Tactics for Smart Pricing and Revenue Growth Management

In the Auto Service, Repair, & Tire retail industry, mastering pricing strategies is critical for maximizing profit margins and driving sustainable growth. This guide reveals powerful pricing tactics for automotive parts, tires, and services, enabling retailers to outpace competitors and boost profitability. Discover how to leverage advanced analytics and implement strategic discounting to enhance financial performance and secure long-term success in the automotive retail market.

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Webinar recording on revenue growth strategy using knowledge graphs by Revology Analytics.
Insights
Armin

Supercharge Your Revenue Growth Strategy with Knowledge Graphs

In our recent webinar titled “Supercharge Your Revenue Growth Strategy with Knowledge Graphs,” we discussed how this unique commercial analytics approach makes understanding multi-dimensional business data more accessible and substantially faster, helping you make smarter decisions and drive Profitable Growth quicker.

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Revology Analytics discount analysis for customer-driven value improvements.
Articles
Armin

Taking Charge of Your Revenue Growth Analytics

Revology Analytics had the opportunity to join 25 leading Revenue Growth Management executives in CPG and Manufacturing in St. Louis earlier this week. We discussed the state of Revenue Growth Analytics in the CPG industry and the significant opportunity to in-source and own many of the advanced analytics capabilities foundational to a successful RGM and Pricing strategy.

In many ways, the state of Revenue Growth Management and its associated analytics capabilities have not changed meaningfully in the last ten years for Consumer Goods companies. There’s still a heavy reliance on data and information providers like Nielsen and IRI to carry out foundational Pricing & Promotional Analytics efforts, including Price Elasticity and Marketing Mix Modeling, or a heavy reliance on 3rd party software for price analytics, scenario analyses, and optimization efforts.

However, the world is changing….fast.

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Revenue growth analysis tutorial with transactional data in Excel.
Insights
Armin

RA Quick Insights Video Series: Revenue Growth Drivers Analysis Tutorial

In this video, the Revenue Growth Drivers Analysis technique is explored in detail for a fictitious company, Company ABC, to understand the drivers of year-over-year net revenue growth.

The analysis breaks down the impact of Pricing actions, Volume, and Customer and Product mix on the company’s Net Revenue growth. The detailed analysis is conducted at the customer-product level rather than an aggregate level, allowing for more actionable insights.

We illustrate the detailed calculations for Pricing, Volume, and Mix impacts using an Excel Growth Drivers Analysis template, available for download at https://www.revologyanalytics.com/revenue-analytics-tools.

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Wooden mannequins interact with blue "HYPE" letters, symbolizing data-driven marketing success.
Articles
Armin

Beyond the Hype: Practical Revenue Growth Analytics Use Cases that Drive Impact

AI/ML is not the ultimate solution for every data-related problem. We must first set up foundational descriptive and diagnostic analytics capabilities and more straightforward ML approaches before applying more advanced techniques. It’s essential to understand the business problems and work closely with functional partners to solve them in a way that aligns well with the company’s analytical readiness and operating rhythm.

The examples of Revenue Growth Analytics use cases mentioned, such as Promotional Analytics, Everyday Price Optimization, Dynamic, Automated Clearance Pricing, Bulk Purchase Optimization, Customer Segmentation & Predictive Insights, and Customer Churn & Cross-Sell Modeling, are practical and impactful capabilities that can drive measurable sales and gross profit improvements. They can be implemented using simple math and essential ML and with popular tech stacks with which pricing, supply chain, and sales partners are familiar.

Overall, the focus should be on pragmatic and co-created approaches with business stakeholders that are most likely to get adoption and impact rather than on celebrating complexity for its own sake.

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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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