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Pricing Strategy

Business team analyzing sales and marketing data on a large screen in a modern office.
Articles
Armin

The In-Sourced Analytics Revolution: Leveraging Popular Tech for Sales & Marketing Transformation

AI and ML have been reshaping industries, and Sales and Marketing Executives stand at a pivotal crossroads as capabilities from leading tech platforms accelerate.

The key to a competitive edge and increased profitability is leveraging popular tech stacks like Microsoft and Google. However, navigating through an oversaturated market of ~ 10,000 “turnkey” software products for Sales & Marketing Enablement is daunting.

Enter In-Sourcing, the strategic approach that elevates your company’s analytics maturity, using popular tools like Microsoft’s Power Platform and Azure or Google Cloud AI. In-sourcing your Revenue Growth Analytics capabilities highlights the transformation from vendor-reliance to an empowered, insights-driven organization, offering a path for executives to transform their companies to truly data and insights-driven.

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Webinar recording on revenue growth strategy using knowledge graphs by Revology Analytics.
Articles
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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Case study on dynamic pricing strategies for Fortune 500 retailers.
Case Studies
Armin

Building Dynamic Pricing for Fortune 500 Specialty Retailer – Case Study

In this case study, we delve into the strategic implementation of dynamic pricing by a Fortune 500 specialty retailer, aiming to enhance market share and profitability in their brick-and-mortar (B&M) channel. Despite the success of dynamic pricing in their e-commerce channel, the retailer faced unique challenges in translating this strategy to their physical stores, constituting 90% of their sales. The initiative encountered skepticism and logistical hurdles in frequently changing price tags. In partnership with Revology Analytics, the retailer overcame these challenges through a practical, simple-to-understand dynamic pricing solution, resulting in increased gross margins, fast and cost-effective implementation, and successful stakeholder engagement in their dynamic pricing journey.

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Manufacturer profit growth through promotion effectiveness and optimization strategies.
Case Studies
Armin

Driving Manufacturer Gross Profit through Promotion Effectiveness & Optimization – Case Study

In this case study, we explore how a $1.5B privately-held Consumer Packaged Goods manufacturer successfully navigated the challenges of a competitive market. Facing declining market share and profitability, the company struggled with ineffective promotional strategies, leading to eroded gross margins in the face of increased promotional spending. The company collaborated with Revology Analytics to develop the Promotion Effectiveness and Optimization platform using the client’s existing tech stack. This included the development of a Pricing & Promotions data warehouse in Azure and Diagnostic and Predictive Analytics capabilities for Pricing & Promotions using Tableau and R. The case study offers valuable insights into overcoming obstacles in planning and profitability, showcasing the significant improvements in retail buyer engagement, gross profit, promotional ROI, and market share.

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Business chart showing senior executive support and promotion analytics data.
Articles
Armin

Promotion Analytics: Why 50% of companies are falling behind and how to catch up.

Two decades later, Promotion Effectiveness & Optimization is still a substantial business problem for companies; at least 50% struggle in this arena.

When we asked ~ 150 commercial leaders about their organization’s Promotion Effectiveness & Optimization capabilities, the Consumer Goods industry emerged with a high score of 3.3 (a little better than Average). This is unsurprising since this is one industry where Promotional spending is routinely 15-30% of Gross Revenues and where the Trade Promotion Management, Effectiveness & Optimization (TPX) software industry grew the fastest.

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Chart showing how often companies report price realization to leaders by industry and company size.
Articles
Armin

Why Price Realization Matters

Why Price Realization Matters: Key Findings from our Inaugural Revenue Growth Analytics Survey.

A company’s ability to consistently measure and manage its Net Price Realization is a crucial, yet often overlooked, element of a robust Profit Growth Strategy.

Price Realization – the difference between your List Price and Actual Price (after discounts, rebates, and other incentives/concessions) impacts your bottom line in a significant way.

Over 125 commercial leaders have taken our Revenue Growth Analytics Maturity Quiz, which measured maturity/competency scores across three major areas:

1) Margin Analytics & Optimization

2) Promotion Effectiveness & Optimization

3) Sales & Customer Growth Analytics

The first question in the “Margin Analytics & Optimization” section asked respondents, “How frequently is pricing performance (net price realization) measured and reported to company leaders?”.

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AI-driven analytics webinar for boosting revenue with GPT technology.
Video and Webinar Recording
Armin

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.

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Simple stone with the word "simplicity" on grass under blue sky.
Articles
Armin

The Merits of Aggregated Data for Demand and Price Elasticity Modeling

It’s time to rethink traditional sales and price elasticity modeling methods.

Aggregated data at the retail chain level and modern machine learning models are vital in shaping an efficient, practical, and robust approach for predicting and explaining retail sales.

Why this shift? The traditional reliance on granular, disaggregated (i.e., store-product-day level) data and old-school models are costly, complex, and often misaligned with practical management strategies.

Turning to aggregated data and modern ML approaches reduces costs, enhances model accuracy and efficiency, and makes these valuable insights more accessible to smaller firms and faster for larger ones.

Moreover, in-sourcing these capabilities builds critical, sustainable expertise for Revenue Growth Management, freeing companies from reliance on 3rd parties. This shift signifies an effective and sustainable future for Revenue Analytics and redefines competitive positioning, enabling superior service and product offerings.

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Guide on price elasticity modeling for data analysis and business insights.
Articles
Armin

A Brief Guide to Price Elasticity Modeling – Part 2

Understanding the impact of price changes and promotional investments on business outcomes is crucial for all commercial teams (revenue management, finance, analytics, sales, and marketing). In today’s data-driven world, it is essential to have a deep understanding of price and promotional elasticities at the customer-product level to optimize sales, profitability, and market share.

The below guide gives an overview of the typical modeling approaches for price elasticities and contrasts regression vs. machine learning methods for industry best practices.

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Revenue growth analysis tutorial with transactional data in Excel.
Articles
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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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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