Learn how a leading national auto service retailer optimized its pricing strategy to unlock millions in operating profit. Through a multi-phased approach, we helped them overcome fragmented data, outdated systems, and inconsistent pricing practices. Discover how data-driven insights, customer segmentation, and advanced analytics led to significant revenue gains and improved operational efficiency. Read the case study to see how your auto service business can achieve similar results.

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.

Many mid-market retailers and wholesalers' pricing, finance, and merchandising executives have inherited outdated pricing solutions. These legacy pricing processes don't quickly scale and heavily rely on expensive human, mundane tasks. There are no intelligent dynamic pricing capabilities that automatically set prices based on sales patterns, corporate objectives, and changing marketplace behavior. It often results in missed profit opportunities and liquidity problems.

Fortunately, you can build simple yet effective dynamic pricing solutions in 3-to 4 months that achieve up to 80% of its incremental Gross Profit $ potential. You can design and implement using practical methods and accessible technologies that empower your teams to take complete control without expensive 3rd party support.

Read more below about how you can achieve this and unlock an extra 1-3% in GP% in year 1.

One of the critical mistakes earlier in my Revenue Growth Analytics career was relying on internal experts to inform the building of "Price-Value Maps" (aka. "PVM") for our Products and those of key Competitors. It proved to be a costly mistake, and we ended up eroding Gross Profits and EBITDA as all of our Price List increases were heavily offset by increased Rebates, Promotional and Shopper Marketing spend.

Modern companies collect substantial amounts of data. The data captured worldwide is expected to exceed 180 zettabytes by 2025, up from 64.2 zettabytes in 2020. This proliferation of data presents a massive opportunity for companies seeking to gain valuable insights into their customers and operations.

Yet, most businesses don't use data effectively, as up to 73% of all data goes unused. So, how can companies leverage the data they collect to boost profitability? In this article, we'll explore how businesses, particularly in the mid-market space, or those finding themselves "data rich, but insights poor," can gather and use data better and increase profit margins through advanced analytics.

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.

It's no secret that many retailers and distributors are struggling with suboptimal prices, leading to substantial profit losses or missed revenues.

But by developing a solid price-testing playbook, retailers and distributors can maximize profits without sacrificing sales.

You don't need to spend 12-18 months deploying an enterprise price optimization solution or waste a ton of CAPEX. You can start building your own semi-automated price-testing solution today at a fraction of the development times and costs.

If you're a Pricing or Finance executive looking for a way to improve your company's bottom line, read this 5-minute guide on how to build a sustainable Price Testing playbook.

A brief guide for Manufacturers and Distributors to boost profits by 5-10% using simple, effective pricing and analytics techniques.

If you're a manufacturer or distributor, you know that discounting is vital to the success of your sales force. But are you discounting enough? Are you discounting too much?

This article will discuss the importance of discounting in B2B settings and how to determine the right discounts for your customers and products. We'll also discuss when to use each type of discount and offer tips for increasing Net Revenue and Gross Profit with analytics and surgical discounting.

Below are my top Revenue Growth Analytics quick wins that Distributors should implement (or right-size) to boost gross profits $ by 5-20% and increase liquidity.

At its very basic level, industry margin pools help you understand what share of the total profits goes to each supply chain participant, from Manufacturer, Distributor, to Retailer.

If you are a ~$1B Manufacturer or Distributor that spends ~ 15% of its Gross Revenues on Promotions & Rebates, every 50bps improvement in your Promo ROIs will drive +$0.75MM to your EBITDA. Let me describe the steps to take to enable these capabilities for your organization.

Did you know that most promotional investments by Manufacturers are a negative ROI investment, and each 1% improvement in Promo ROI can be a massive benefit to your Operating Profit?

Many mid-market manufacturing CFOs, CMOs, Pricing, and Sales executives are struggling with Promotional spending outpacing Profit growth, leading to unnecessary profit erosion.

Fortunately, most companies have the proper data assets to build sophisticated and actionable Promotion Effectiveness & Optimization solutions in-house, using methods and technologies they are already familiar with.

If you've always wanted to know how to build robust Pricing & Promotion Analytics capabilities organically and quickly (in ~ 4 months), please read this detailed Case Study that walks you through the critical steps with concrete examples.

Most mid-market companies are still stuck with basic reports and ad-hoc Pricing & Profitability analyses that take several weeks, offer little actionable insights, and are not reproducible. There is also a widespread misconception that it takes heavy upfront investment (both time and money) to build Margin Analytics & Optimization platforms that can truly transform an organization's Pricing discipline and customer & product analytics rigor.

Regardless of your company's growth stage, it is paramount that you have an easy-to-use and actionable Margin Analytics platform that provides rapid descriptive (what happened), diagnostic (what caused it), and predictive (what will be the impact) analytics capabilities.

Commercial Analytics in B2B environments is a team sport: you need to win the trust and credibility of the Sales Team to accelerate the impact of analytics and drive sustainable Pricing and Data ROI for your company.

Read this brief opinion piece on why listening to and collaborating with your Sales teams is not optional - it's essential.

Why is it essential to understand the business impact of Price changes and Promotional investments, and what are the analytical approaches to estimating Price elasticities?

With continued data proliferation and the democratization of popular Machine Learning methods among the data analyst community, knowing your Price and Promotional elasticities at the Customer-Product level is fundamental to Finance, Sales, and Revenue management.

A brief example of how visual analytics using Sales & Pricing metrics can be powerful in driving real, measurable change for your company.

Price leakage is a big problem for most Manufacturers and Distributors and can have a considerable adverse effect on their Operating Profits. One of the big reasons price leakage occurs is not having an adequate Margin Analytics Platform deployed and used across the organization. This means no effective measurement systems track discounts and rebates versus guidelines or strategies.

In this brief guide, we will discuss how to build a robust in-house solution, leveraging standard technologies you are familiar with. Most executives in charge of Pricing/Margin are hesitant to go down the margin analytics platform path, thinking it will take years and $ millions to implement. We will show you how to achieve 80-90% potential value realization using simple techniques and analytical methods.

Unproductive inventory often accounts for 20-30% of wholesale businesses' merchandise. For many, it's just the cost of doing business. But it doesn't have to be that way. Unproductive inventory ties up your cash, erodes your profitability, and puts you at the risk of not meeting debt obligations for your asset-backed loans. Automated markdown pricing is one of the most effective ways to address this problem, and simple analytical solutions (no "ML and AI) can often yield significant benefits. Learn more below how.

I welcome your comments or similar experiences.

Companies are in the business of making money, and most often they care about maximizing their Revenues, Gross profit or Operating income. One of the biggest challenges companies face is the ability to correctly and systematically diagnose and isolate the individual drivers of key business performance changes and build fast, surgical actions to increase profitability. This week I talk about the benefits of doing a proper price-cost-volume-mix analysis for your business, and get you started on building a production level application with analysis examples and explanations in Excel and R.

Most of us are familiar with the term customer price sensitivity as an important concept especially for sales, marketing and revenue management teams. It helps us understand how price changes affect demand, profitability or market share of our products or services. This week, I will describe the most popular analytical methods that help you measure your product or service price elasticities, including a few simple and proven machine learning based approaches that your analytics or data science teams can easily do.