Marketing Analytics from Scratch
Everybody's talking about Big Data, Analytics, and Automation, but when it comes to execution, mostly people are resorting to websites such as Tableu, Power BI, and for some exclusive adventurers - coding tools such as R and Python are also played around with.
I've had experience of 5+ years on Planning, Designing,
Coding, and Deploying Analytics Automation tools using Shiny and Rstudio
Below are some samples of my work created in 2015-18 from scratch at www.limetray.com along with Varshul Gupta. The tech stack used for the tools are as follows :
Development : R, Shiny, JS, HTML/CSS, ElasticSearch
Integrations : Intercom, Freshdesk, Plotly, vTiger (similar to Salesforce)
Exhibit I : Analysing Marketing Performance of SMS & Email Campaigns
Left table shows recent campaigns that were held by the client including all details such as content, reach, and conversion rates.
Right Graphs show how daily SMS Conversions were for any clicked campaign (from the table on the left), along with the Pie chart that showed region wise sources of conversions.
Exhibit II : Analysing SEM Performances of SMS & Email Campaigns
The following module shows the SEM performance for any client. The graph is customisable on the basis of which one can play around as to whether they wish to see how trends look when comparing between :
Cost, Impressions, Clicks, Conversions for any campaign (4 pillars)
