Marketing

A marketing team develops and implements strategies to promote brand awareness and drive sales of an organization's products or services. Data science is mostly applied in marketing areas of profiling, search engine optimization, customer engagement, responsiveness, real-time marketing campaigns.


Marketing

  • Total spend on marketing by time period
  • Viewing marketing as a growth center instead of a cost center
  • Improving understanding of each department’s organizations goal
  • Identify the cost of acquisition of a customer
  • Estimate of how much your new customers are costing you
  • Measure the revenue impact of a marketing campaign
  • Track the different sources of lead generation
  • Identify the most effective source and plan campaigns accordingly
  • Optimize your most profitable sources
  • Find out the Return on Investment on the marketing spend
  • See how different sources affects the ROI
  • Justify marketing spend and budget allocation for ongoing and future campaigns
  • Recognize leads that has a high probability of turning into a customer
  • Figure out what should be the right amount of bid for various segments of paid traffic
  • Qualified leads saves both time and resources

Media

  • See how your brand influences your target audience
  • Total number of unique users who have seen your piece of content
  • Identify the number of users who might see the content during a period
  • Number of new followers on your platform within a period
  • Total number of subscribers you attract
  • Find out about your growth rate and if your community is growing or stagnant
  • See how well your content resonates with your target audience
  • Number of times a content has been shared on various platforms
  • Number of likes, comments, replies received
  • Measure the effectiveness of your web visits
  • Number of times users visit your platform
  • Average length of time a user spends and number of pages visited during one session
  • Combined traffic from all social media channels within a period
  • Origin of your platform traffic
  • Category of the traffic source

Customer Segmentation

  • Total sales by time period
  • Sales by product or service
  • Sales by lead source
  • Revenue per sale
  • New vs. returning customer sales
  • Track impact on profitability.
  • Opportunity for repeat orders for a steady cash flow
  • Identify big ticket value opportunities
  • Stimulate frequent orders
  • Correlate service and quality based on customer association time
  • Top regions for customer churn by satisfaction index
  • Period trends of churn
  • Track low performing products / services
  • Correlate time of service to customer plans
  • Investment in customer retention
  • Expenditure on customer acquisition
  • Revenue generated per customer
  • Revenue generated in month
  • Determining the reinvestment for upcoming month
  • Forecasting sales in upcoming months
  • Accurate expense management

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