Optimize your workflows, prioritize leads, and drive sales
SALES AND MARKETING ANALYTICS
Optimize your workflows, prioritize leads, and drive sales
Datamatics helps businesses optimize sales & marketing more strategically to drive top-line & bottom-line growth with the help of the latest advances in the field of AI/ML and Cloud-based technologies.
Datamatics optimizes the marketing, sales, and service work at speed and scale. It helps sales people and marketers to switch faster from product plans to commercialization. Flexibility and fast-integrated internal and external communication are prerequisites for optimization.
Sales & Marketing Analytics Offerings
Marketing Mix Modelling
Develop a winning marketing mix strategy for your product
Make efficient allocation of your marketing budgets by using Advanced Analytics & Data Sciences
Demand Forecasting
Forecast customer demand-and-supply by using Sales & Marketing Analytics
Formulate strategic long-term plans
Create key business assets, such as budgets, financial plans, sales and marketing plans, capacity plans, risk assessment/mitigation
Cross-Sell Models
Capitalize on current customers and boost revenue through advanced cross selling approach
Enhance your market position and stay ahead of competition with Sales & Marketing Analytics
Purchase Journey
Identify the pulse of your customers by delivering the right message at right time and at right place through the right channels
Derive the best possible marketing and communication plan and increase the ROI
FEATURED CONTENT
Case Study
A global beverage giant registers significant volume gains across categories by leveraging AI/ML models for managing Price Elasticities
How does Sales and Marketing Analytics help a business maximize RoI of advertisement spend across various channels?
Sales and Marketing Analytics uses the Marketing Mix Model, which is a statistical marketing method that attempts to determine the effectiveness of marketing campaigns and initiatives by taking apart data and attributing contributions to different marketing tactics and factors to better predict future success. It further allows organizations to understand consumer behavior with regard to exposure to different advertising methods and techniques.
How can a CPG company find out the required category-wise business volume growth prediction to support channel marketing operations?
The company can use Sales and Marketing Analytics to identify relevant macroeconomic indicators with statistical analysis, econometric time series modelling, and supervised machine learning. Building such ensembles and hybrid models also allows figuring out the factors affecting the business volume growth.
How does Advanced Analytics help to overcome the issue of mismatched inventory at the retail store level?
High inventory carrying costs as well as low inventory hurts the business. Advanced Analytics helps to identify inventory gaps by using Demand Forecasting for future periods and aggregation of predicted demand for each distribution center. It allows the company to streamline the production plan for each item and alter its business and marketing strategy to satisfy expected demand from its customer base. This further helps reduce risks and create an accurate budget that helps efficient financial decisions for improving profit margins, cash flow, and allocation of resources.
How does Advanced Analytics help companies plug the gaps of disparate & inconsistent Customer Experience across its various channels?
Advanced Analytics and Customer Journey mapping allow companies to view the sales process from the customer perspective to find out what they are doing well and how they can improve their sales model. Deriving an Analytics-driven journey map helps identify experience or service gaps in your buying process that you may not have noticed otherwise. For example, a missing instant chat feature on your website that helps resolve urgent customers' queries. You can easily plug this gap by adding a Chabot, a frequently asked questions (FAQ) section, or a knowledge base page.
How does Pricing-based Data Analytics help achieve proactive visibility of price fluctuations and forecast price trends?
While contemplating an ideal pricing strategy, it is imperative for businesses to determine how sensitive or ambivalent their target customers are to price changes. Intelligent and highly agile Pricing Analytics solutions enable you to accurately identify patterns and trends in customer behavior and track key pricing metrics to create the right pricing strategy that maximizes profit.
Pricing Analytics benefits which industries?
All industries, both B2B and B2C, can make efficient use of Pricing Analytics to create optimal pricing strategies and optimize their profitability and sales. The principal industries making use of Pricing Analytics are Retail and CPG, food and beverage, BFSI, Communication and Media, Automotive, Transportation and Logistics, Healthcare and Pharmaceutical, and Manufacturing.
How can organizations use customer data to improve marketing RoI with hyper-targeted campaigns?
Advanced Analytics and AI-driven recommendation engines provide businesses with a better-priced product and recommend a complementary product to the existing customers, respectively. Upsell/cross-sell techniques give businesses the power to leverage customer behavior to optimize customer service efforts. These techniques provide the customers with customized product suggestions, leading to improved customer lifetime value and revenues for businesses.
How does Advanced Analytics help in sharper customer segmentation and targeted marketing campaigns?
Customer Segmentation Analytics address critical business questions. Effective customer segmentation uncovers consumers' need states, mindsets, behaviors, demographics, and social profiles to identify their profit potential to tailor your marketing strategies to align with each segment at a micro level. Such Advanced Analytics solutions allow organizations to shift their approach from product-centric to customer-centric and improve the effectiveness of their marketing campaigns through a shaper understanding of their customer base.
