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Outcome Based Analytics

best pricing
Articles
Armin

What’s Our Best Pricing Strategy?

Discover how to select the most effective pricing approach using practical frameworks, KPIs, real-world examples, and an implementation roadmap tailored for B2B teams. Key takeaway:

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Many mid-market retailers and wholesalers’ pricing, finance, and merchandising executives have inherited outdated pricing solutions.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

RFM Analysis as an Important Revenue Growth Analytics Capability – Part 2

RFM Analysis is a powerful tool for businesses seeking insights into customer behavior and segmenting them based on purchasing habits. By calculating RFM scores and creating segments, companies can identify valuable customer groups and target them with personalized sales and marketing campaigns. RFM Analysis is not limited to the retail industry or the marketing domain. It can be applied to most industries and functional domains that touch the customer, including pricing, supply chain, A/R, product management, and customer service. Additionally, RFM Analysis can benefit nonprofit organizations by understanding donor behavior to optimize fundraising initiatives.

In part 2 of our RFM Analysis article, we’ll dive deeper into how we can calculate RFM scores, visualize customer performance by RFM segment and discuss sales and marketing implications.

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Articles
Armin

An executive’s advice for data scientists (and leadership) – Part II.

In a previous article, I wrote about the three main structural challenges that data scientists and their organizations face when maximizing their career satisfaction and business impact (data ROI).

This edition of Revology Analytics Insider will dive deeper into the first impediment (“mismatch between data scientist aspirations and corporate reality”). We’ll decompose why it exists and make concrete recommendations to the data science community and company leaders on how to best address it.

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