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Customer Retention & Lifecycle Analytics

Overview

Construct the "single source of truth" your business requires to scale.

We design robust data pipelines and intuitive executive dashboards that transform fragmented enterprise data into clear, actionable insights for your leadership team.

Customer Journey Analysis & Optimization

Customer Journey Analysis & Optimization maps every step of your customer’s lifecycle – from initial awareness and consideration through purchase and loyalty. By blending data from CRMs, web analytics, social media, and even offline touchpoints, we pinpoint how customers move (or falter) through your funnel. The goal is to highlight where engagement drops off and why, so we can refine each touchpoint to boost conversion, retention, and ultimately customer lifetime value.

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Automated Churn & Cross-Sell/Up-Sell Optimization

Automated Churn & Cross-Sell/Up-Sell Optimization uses AI-driven analytics to keep customers longer and increase their value. We build predictive models to flag when a customer shows signs of leaving, and to recommend personalized cross-sell or up-sell offers that they’re most likely to respond to. These recommendations and risk alerts are integrated directly into your CRM or sales dashboard, so your team can act on them in real time as part of their regular workflow.

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Pricing Intelligence Engine

Rebuilding Pricing and Promotion Analytics for a Global Data-Storage OEM

April 21, 2026

A Fortune 500 global data-storage OEM was bleeding margin in its $200M U.S. B2C hard-drive business. One flagship family had taken a substantial net-pricing hit year-over-year, and roughly 45% of historical promos were returning only 0 to 20% ROI. Revology rebuilt the pricing and promotion analytics from the ground up using causal Double Machine Learning, a retailer-math ROI model, and a three-archetype segmentation framework. The target: $3M to $6M of incremental EBITDA (a 10x to 20x return on the engagement) within 12 months.

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Project APEX Pricing Power

Unlocking Pricing Power for a Global Pharmaceutical Manufacturer in Emerging Markets

April 21, 2026

A Fortune 500 global pharmaceutical manufacturer was making emerging-market pricing decisions by feel. We built a repeatable Pricing Quick Wins engine across four pilot markets, grounded in causal elasticity modeling, automated competitive equivalence mapping, and price-pack architecture and inflation-aware simulators. The pilots identified around $8M of median revenue opportunity, with a best-case of ~$12M. Local teams now own the engine and can repeat the analysis annually as inflation and the competitive set shift.

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Automated RGM Engine

Operationalizing Revenue Growth Management Analytics for a Leading Plant-Based Creamer Brand

April 21, 2026

A leading plant-based creamer brand wanted real visibility into more than $13 million of annual trade spend and a credible way to forecast promo ROI before writing checks. We built the Revenue Growth Management analytics engine for them in Python and Power BI, running on their existing stack. The team now refreshes pricing, promo, and revenue/gross profit performance deep dive models in 10 to 20 minutes and catches variance the old process missed by weeks.

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Centered on proven best practices, Revology Analytics® provides Revenue Growth Analytics advisory services and thought leadership, driving profitable revenue growth for middle-market companies.

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