Discover how a leading chemical manufacturer transformed its sales analytics capabilities to drive insights-driven decision making and improve sales performance. We partnered with the client to develop a customized sales analytics platform, overcoming data silos and manual reporting processes to unlock real-time insights and enhance efficiency. Learn how interactive visualizations, advanced analytics, and comprehensive training empowered the sales team to optimize commercial strategies and unlock greater organic growth. Read the case study to see how your organization can leverage commercial analytics transformation to unlock its full potential.

Unlock the full potential of your sales and marketing teams with AI-driven tools! Discover how artificial intelligence can revolutionize your business by streamlining processes, enhancing customer engagement, and boosting performance. Learn about top AI tools for lead generation, sales forecasting, and campaign optimization. Find out how predictive analytics can forecast demand and automate routine tasks, freeing up time for strategic activities. Get practical tips for selecting and integrating AI tools seamlessly into your workflows. Stay ahead of the competition and drive business growth with AI. Read more now!

Revenue Growth Management (RGM) is often mistakenly equated solely with pricing strategies. However, true RGM encompasses a broader scope, leveraging comprehensive commercial analytics to drive business growth across multiple dimensions.

Beyond pricing optimization, RGM integrates advanced metrics and analytics efforts such as Customer Acquisition Cost, Lifetime Value, Churn Rate, Marketing ROI, and Net Revenue Retention to provide a holistic view of revenue and profit opportunities.

By analyzing these diverse data points, companies can unlock insights that lead to improved customer segmentation, targeted marketing campaigns, optimized product and customer mix, and enhanced operational efficiencies.

Companies that expand their RGM focus beyond pricing are better positioned to identify untapped revenue streams, boost profitability, and achieve sustainable growth in an increasingly competitive and insights-driven marketplace.

Manufacturers need more than great products to stay competitive—they need deep customer understanding and smart decision-making. Traditional methods like Excel spreadsheets fall short. Advanced insights capabilities help manufacturers uncover hidden opportunities, streamline operations, and connect meaningfully with customers by turning data into actionable strategies.

To achieve this, manufacturers should collect, analyze, and apply accurate data across their sales and marketing infrastructure. Clean data, the right tools, and a data-driven culture are essential for leveraging insights to drive growth and improve customer engagement.

Explains how mid-market companies can revolutionize their revenue strategies using advanced analytics, machine learning, and AI. It details how these technologies help identify inefficiencies, enabling companies to make informed, data-driven decisions. This strategic approach is essential for optimizing sales and marketing operations, ultimately leading to sustainable growth and a stronger competitive position.

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.

Revology Analytics recently had the opportunity to collaborate with Sales & Marketing experts from the Alexander Group, a leading Revenue Growth Strategy consultancy, where we discussed the impact of AI on B2B Sales Teams.

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.

In our popular webinar on Marketing Mix Modeling (MMM), we disdcuss the pros/cons of MMM, and its growing importance in today's privacy-centric, cookie-less world.

We also deep-dive into Meta's innovative MMM framework, Robyn, highlighting how it has revolutionized marketing analytics with its cost-efficiency, granularity of insights, and flexibility.

Our detailed presentation and recorded webinar offer practical demonstrations of Robyn's capabilities, providing a holistic view of channel effectiveness, adstock decay rates, and marketing budget optimization.

The era of six-figure marketing analytics is a thing of the past - welcome to a future of accessible, affordable, and robust marketing effectiveness measurement.

Revenue Growth Analytics (RGA) is a foundational enabler for organizations looking to transform their Revenue Growth Management strategies. RGA goes beyond traditional pricing techniques and provides insights into areas such as customer mix management, customer retention and cross-sell opportunities, and customer lifetime value. One of the key techniques used in RGA is RFM (Recency-Frequency-Monetary) Analysis.

RFM Analysis is a simple yet effective method of analyzing customer transactional data to drive better customer insights and improve customer retention, profits, and customer satisfaction.

Commercial Analytics, aimed at improving Gross Profits and Sales Productivity, doesn't have to be complex to drive the proper outcomes with Pricing and Sales teams.

𝐒𝐚𝐥𝐞𝐬 & 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐜𝐤 𝐑𝐚𝐧𝐤𝐢𝐧𝐠 is another simple yet effective Revenue Analytics technique to steer Sales behavior in the right direction and drive incremental Net Sales (and Gross Profits).

I often see Manufacturers and Wholesalers making the mistake of trying to revolutionize entrenched Customer habits vs. creating easy-to-use, pragmatic analytics solutions that Customers understand and care about.

Below is a quick guide summarizing a previous Revology Analytics article that demonstrates why healthy Customer Data is crucial to enabling powerful Sales Growth Analytics for companies. It also highlights steps you can take today to translate your CRM data into Revenue & Margin Growth.