Implementing Data Science & Analytics to Your Sales & Marketing Strategy

Data Science is taking the lead in Sales and Marketing Industry, Data Science is providing the most valuable insights into the content which is most effective at each stage of Marketing & Sales cycle. Sales and marketing analytics are essential to extract relevant insights, increase conversion rates, prospect engagement, increase profitability, and improve brand image. By implementing Data science and Analytics, An organization can pitch new audience, new markets, areas for future development. Sales and Marketing companies can leverage the power of Data science and Analytics to make to process more precise and efficient by increasing the customer engagement, product forecasting, lead generation which helps salespeople become more productive, better coordination between teams, planning better marketing campaigns which ultimately results in increased revenue.

For more information visit: http://canopusdatainsights.com/

Sales & Marketing industry faces many challenges like-frequently changing consumer requirements, competitive environment, Sales forecasting problem and customer environment. With all these challenges, Sales & Marketing organizations need to apply Data Science and Analytics which will help them stay ahead in the competition.

Application of Data Science in Sales & Marketing:

Sales Forecasting/Demand Forecasting- Predicting future sales to make informed business decisions.

Churn Analysis- Predicting the customers who are going to churn and taking relevant steps to retain them.

Customer segmentation- Identifying different customer groups and making different strategy for them.

Cross selling/Recommendation algorithms- Analyzing the purchase history of a customer and predict what will they like and buy in future and recommend similar products by analyzing browsing history.

Channel optimization- Find the best way to reach a customer with certain characteristics.

About the company :

Canopus Data Insights provides Data Science and Data Analytics services that enable customer centricity by giving insight into data, which improves productivity and increases the depth of customer engagement and predictive modeling to make big decisions. Canopus Data Insights has an extensive knowledge and experience working with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research and Big Data. Our implementation experience includes working in different sectors like Sales & Marketing, Retail, Banking, Insurance, Logistics etc.