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Revology Analytics

Business deep dive framework for consumer product companies with internal and external data.
Articles
Armin

Business Deep Dive Framework for Consumer Goods companies

Analytical fire drills and knee-jerk pricing actions are becoming increasingly common in the consumer goods industry. With intense competition and ever-changing customer needs, companies must be agile enough to rapidly adjust their strategies to remain competitive and deliver relative value to their consumers.

By creating a dynamic integrated performance deep dive, CPGs can identify specific areas of improvement to maximize efficiency while delivering high-quality products at competitive prices โ€” all of which will help them stay ahead of the competition in today’s market.

In the below quick guide, we’ll explore the steps needed to build a reproducible and highly actionable (and impactful) performance deep dive that can help CPGs address Revenue performance shortfalls.

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Price testing for net sales and gross profit in retail and distribution.
Articles
Armin

Driving Net Sales and GP$ with Price Testing: A 5-minute guide for Retailers and Distributors

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.

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Chart comparing traditional and Bayesian pricing models showing revenue effects.
Articles
Armin

RA Quick Insights: The Power of Bayesian Analysis for Pricing Scenario Modeling

If you haven’t tried #bayesian analysis to attack common business problems, I highly encourage you to explore it.

Companies’ data science curve often starts with linear regression before a giant leap to ML within weeks or months (ensemble models, even some deep learning).

In pragmatic terms, the power of Bayesian modeling comes from being able to assign probability intervals to predictions.

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Revology Analytics dashboard for sales and stack ranking analysis.
Articles
Armin

RA Quick Insights: Using Sales Stack Ranking to Grow Net Sales & Profits

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.

๐’๐š๐ฅ๐ž๐ฌ & ๐ƒ๐ข๐ฌ๐œ๐จ๐ฎ๐ง๐ญ๐ข๐ง๐  ๐’๐ญ๐š๐œ๐ค ๐‘๐š๐ง๐ค๐ข๐ง๐  is another simple yet effective Revenue Analytics technique to steer Sales behavior in the right direction and drive incremental Net Sales (and Gross Profits).

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Business professional analyzing data on a computer screen with charts and graphs.
Articles
Armin

How to Build Transformative Margin Optimization Capabilities in 90 days: Part 1

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.

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Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

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