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Keeping Customers Longer: Building Real-Time Retention Optimization Capabilities

For retailers and distributors, keeping customers happy and engaged is more critical than ever. But did you know that 6 out of 10 mid-market firms lack the tools to predict churn or identify upsell/cross-sell opportunities?

Our latest article dives into how AI/ML is revolutionizing customer retention. Learn how to leverage these technologies to:

  • Predict and prevent churn with advanced analytics.

  • Identify personalized upsell/cross-sell opportunities.

  • Tailor marketing campaigns for maximum impact.

  • Build stronger customer relationships through personalization at scale.

Read the full article to discover how to build an insights-driven retention strategy that maximizes customer lifetime value and drives sustainable growth for your company.

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Mastering Price Elasticity Modeling: Best Practices for 2024

Enhanced by AI and machine learning, price elasticity modeling enables businesses to optimize pricing strategies by understanding how customer demand reacts to price changes. Unlike traditional methods that often overlook the complexities of consumer behavior, these advanced models provide data-driven insights to set prices that maximize revenue.

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Unlocking Sales Performance with Commercial Analytics Transformation in the Agricultural Chemical Industry

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.

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Driving Profitable Growth with Insights-Driven Pricing Transformation in Auto Service Retail

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.

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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.

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Reduce Inventory Waste, Boost Profits - AI/ML-Enabled Demand Forecasting for Smarter Manufacturing

Mid-market manufacturing businesses often struggle with accurate demand predictions due to evolving customer preferences and changing market trends. This complicates stock management and necessitates innovative strategies to reduce waste.

Advanced AI/ML-enabled demand forecasting can significantly improve capacity planning, financial planning, and profit margins by enhancing forecast accuracy. Traditional methods, relying on outdated data and gut instinct, fall short, while AI/ML technologies analyze vast data sets to identify patterns and adapt to dynamic market conditions.

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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.

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A Data-Informed Approach to Promotion and Marketing Spend Optimization in Thrift Retailing

A leading West Coast thrift retailer with $350M in revenue needed to optimize its promotional and marketing spending to support growth. Revology Analytics implemented comprehensive analytical models and a custom dashboard to guide strategic couponing and promotional bundling. This approach identified $80M in growth opportunities and reallocated marketing budgets for enhanced effectiveness, positioning the retailer for sustained growth.

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Enhancing Marketing Analytics for Leading Public Interest Enterprise - Case Study

A $150MM Public Interest enterprise struggled with inefficient marketing spending and an over-reliance on offline channels. Revology Analytics transformed their approach by merging marketing mix modeling with advanced multi-touch attribution. This shift revealed the effectiveness of digital channels, leading to a strategic reallocation of the marketing budget. A dynamic Power BI dashboard further empowered the organization to make data-driven decisions.

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Accelerating Commercial Team Success: Deploying AI Tools for Enhanced Performance 

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!

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Beyond Pricing: Comprehensive Revenue Growth Analytics & Management

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.

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Unlocking Sales & Marketing Potential with Revenue Growth Analytics: A Strategic Blueprint

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.

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7 Ways Companies Boost Operating Profits Through Revenue Growth Analytics

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.

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Leveraging Commercial Analytics for Profit Growth in Acquisition-Heavy Companies

Explore how leveraging advanced commercial analytics can dramatically enhance profit margins for companies growing through acquisitions. Our latest article dives into the pivotal role of unified data sources and system integration in streamlining operations and boosting profitability. Discover how tools like Revenue Growth Analytics reduce manual data processing and provide actionable insights that lead to more efficient decision-making and optimized business strategies. Read the complete insights to understand the transformative impact of these technologies, tools, and methods on acquisition-heavy companies.

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Why Mid-Market Companies Should Focus on Practical Solutions Before AI

It's easy for us to get caught in the hype surrounding the latest and greatest tech advancements. Currently, AI is at the forefront of this phenomenon (what Gartner calls "peak of inflated expectations"). While AI certainly holds transformative potential, companies must approach its adoption with a measured perspective, especially in the mid-market sector (think $100MM-$1B in revenues).

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RA Quick Insights: Smarter Discounting for B2B

Discover how strategic discounting transforms customer engagement and drives profitability in this week's Revology Analytics Insights video. Learn to tailor discounts effectively, ensuring sales growth and customer loyalty without compromising your bottom line.

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