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Pricing Strategy

Red key labeled "Price" on a keyboard, symbolizing dynamic pricing strategies.
Articles
Armin

Building a Dynamic Pricing Capability (In Under 90 Days)

Many mid-market retailers and wholesalers’ pricing, finance, and merchandising executives have inherited outdated pricing solutions.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.

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Price-Value Map illustrating product profit optimization and competitor comparison.
Insights
Armin

RA Quick Insights: Optimizing Product Gross Profits with Price-Value Maps – Part 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.

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Business professional analyzing revenue growth data at desk.
Articles
Armin

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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AI-driven B2B sales podcast discussing AI's impact on sales productivity, efficiency, and job roles.
Video and Webinar Recording
Armin

Podcast Interview: AI for B2B Sales

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.

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Scales balancing AI robots and technology components in a modern setting.
Articles
Armin

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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Revenue growth analytics insights for business performance.
Insights
Armin

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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Business team analyzing sales and marketing data on a large screen in a modern office.
Articles
Armin

The In-Sourced Analytics Revolution: Leveraging Popular Tech for Sales & Marketing Transformation

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.

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Webinar recording on revenue growth strategy using knowledge graphs by Revology Analytics.
Insights
Armin

Supercharge Your Revenue Growth Strategy with Knowledge Graphs

In our recent webinar titled “Supercharge Your Revenue Growth Strategy with Knowledge Graphs,” we discussed how this unique commercial analytics approach makes understanding multi-dimensional business data more accessible and substantially faster, helping you make smarter decisions and drive Profitable Growth quicker.

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Revology Analytics discount analysis for customer-driven value improvements.
Articles
Armin

Taking Charge of Your Revenue Growth Analytics

Revology Analytics had the opportunity to join 25 leading Revenue Growth Management executives in CPG and Manufacturing in St. Louis earlier this week. We discussed the state of Revenue Growth Analytics in the CPG industry and the significant opportunity to in-source and own many of the advanced analytics capabilities foundational to a successful RGM and Pricing strategy.

In many ways, the state of Revenue Growth Management and its associated analytics capabilities have not changed meaningfully in the last ten years for Consumer Goods companies. There’s still a heavy reliance on data and information providers like Nielsen and IRI to carry out foundational Pricing & Promotional Analytics efforts, including Price Elasticity and Marketing Mix Modeling, or a heavy reliance on 3rd party software for price analytics, scenario analyses, and optimization efforts.

However, the world is changing….fast.

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

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