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Armin

Medical device business analytics platform for profit optimization and margin growth.
Case Studies
Armin

Optimizing Medical Device Gross Profits with Dynamic B2B Margin Analytics Platform – Case Study

Industry:
Med-Tech | Area: Margin Analytics & Optimization

This case study explores how a prominent med-tech company revolutionized its margin management by developing an in-house Dynamic B2B Margin Analytics Platform. Faced with challenges such as limited visibility into pricing and margin drivers and inconsistent discounting practices, the company recognized the need for advanced pricing analytics capabilities. Partnering with Revology Analytics, they embarked on a strategic journey to enhance their pricing analytical acumen, aiming to improve net price realization and address revenue leakages. The case details the transformative impact of this initiative, demonstrating the effectiveness of co-creating an in-sourced solution with internal stakeholders, using an existing tech stack like Tableau for powerful visualization and scenario analysis capabilities.

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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.
Insights
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.
Insights
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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Expert advice on managing marketing budgets to boost ROI and optimize advertising spend.
Articles
Armin

How To Manage Your Marketing Budget For Improved ROI

This article was originally published in Authority Magazine’s “The CMO” newsletter.

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With the growing complexity of marketing channels and the need for businesses to constantly adapt their strategies, managing marketing budgets effectively has become more critical than ever. In this interview series, we speak with CMOs and other marketing leaders who have significant experience in budget management and optimization, to share their “5 Ways To Manage Your Marketing Budget For Improved ROI.” As a part of this series, we had the pleasure of interviewing Armin Kakas.

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Revology Analytics logo on a professional business background.
Articles
Armin

Demistifying Marketing Mix Modeling

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.

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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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Digital globe with data charts, graphs, and gears representing analytics and data insights.
Insights
Armin

Unveiling Your Revenue Growth Analytics Maturity: Unlock Your Full Profit Potential

Discover the power of Revenue Growth Analytics with our newly launched Maturity Scorecard, designed to assess your organization’s capabilities in Margin Analytics & Optimization, Sales & Customer Growth Analytics, and Promotion Effectiveness & Optimization.

Take the 3-minute assessment and gain access to tailored recommendations for improvement, as well as an extensive library of free Revenue Growth Analytics resources, including Tableau dashboards and price elasticity models in R and Python. Don’t miss out on this opportunity to elevate your Revenue Analytics capabilities and drive significant business impact.

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Guide on price elasticity modeling for data analysis and business insights.
Insights
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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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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