Revology Analytics Insider
Browse Contents Based on Category or Topic
Filter by Category
Filter by Topic/Tag
- AI
- AI Pricing
- AI in Business Analytics
- AI/ML
- AI/ML Distribution
- Analysis with Python
- Analysis with R
- Analysis with Tableau
- Analytics Leadership
- Attribution Modeling
- Bayesian Modeling
- Budget Optimization
- Business Growth through Pricing
- CPG
- CRM Data Analysis
- Commercial Analytics Transformation
- Competitive Analysis
- Competitive Pricing
- Consumer Durables
- Consumer Products
- Cross-Sell Optimization
- Customer Analytics
- Customer Churn Modeling
- Customer Retention
- Customer Segmentation
- Data Visualization
- Data Warehouse
- Data-Driven Decision Making
- Data-driven Pricing
- Discount Management
- Distribution
- Durable Goods
- Dynamic Pricing
- Forecasting
- Growth Drivers Analysis
- HiPPO effect
- In-sourced Pricing
- Industrial Manufacturing
- Industry Margin Pools
- Inventory
- Inventory Waste
- Knowledge Graphs
- Machine Learning
- Manufacturing
- Margin Analytics
- Margin Optimization
- Marketing Analytics
- Marketing Effectiveness & Optimization
- Marketing Mix Modeling
- Maximizing Profit with Pricing
Subscribe to Revology Analytics Insider
Want to stay abreast of the latest Revenue Growth Analytics thought leadership by Revology?
Enhancing Sales & Marketing for Manufacturers: Building Robust Insights Capabilities
Manufacturers need more than great products to stay competitive—they need deep customer understanding and smart decision-making. Traditional methods like Excel spreadsheets fall short. Advanced insights capabilities help manufacturers uncover hidden opportunities, streamline operations, and connect meaningfully with customers by turning data into actionable strategies.
To achieve this, manufacturers should collect, analyze, and apply accurate data across their sales and marketing infrastructure. Clean data, the right tools, and a data-driven culture are essential for leveraging insights to drive growth and improve customer engagement.