Marketing & Customer Analytics
TransOrg provides a comprehensive suite of marketing and customer analytics solutions through advanced quantitative, statistical analytics and big data tools to deploy tailored marketing programs that are centered on fulfilling customer needs while also contributing towards revenues and profitability.
What we doCustomer Segmentation. Segment customers based on demographics, value, purchase and other behaviors to better understand and serve their needs.
Higher Campaign ROIs.Tailor campaigns with the right offer to right customers at the right time and gain improved conversions, customer satisfaction and revenues.
Predictive Attrition Modelling.By predicting customers most likely to attrite you can design and target appropriate retention efforts such as new products or services.
Cross-Sell Modelling.By predicting customers most likely to buy other products and services, you can design and target appropriate cross-sell efforts leading improved customer life time value.
TransOrg’s web analytics solutions provide comprehensive insights on website performance, visitor behaviour and response to emails, natural and paid search advertising, targeted display ads, mobile or own website among others. Companies can capitalize on that information to make informed decisions to drive revenue, conversions and better customer engagement.
What we do
Online Commerce Analytics. Forecast the ROI with the highest level of accuracy across different time horizons – short or long term across large datasets.
Predictive Modelling Capability. Predict the impact of key performance indicators on the expected outcome to obtain the best possible outcome for different combinations of marketing mix.
Simulation Capability. Simulate the real time marketing mix parameters to understand the effect of marketing mix on ROI for various marketing initiatives.
Reporting Capability. Monitor the performance of the Marketing Mix Model.
Text And Sentiment Analytics
IVR transcripts, Twitter & Facebook handles, surveys, blogs, news reports and chat forums are rich sources of customers’ feedbacks, opinions, queries and complaints. In order to refine your product, servicing and marketing strategies it is valuable to understand “who” said “what”, “when”, “where” and “why”.
Our text analytics solutions help you turn unstructured text into structured data so you may understand the context of each conversation, accurately gauge sentiment be it positive or negative and include these trends while performing predictive analysis.
What we do
Speech Tagging. Identify all structural elements of a text including verbs, nouns, adjectives, adverbs, etc.
Topic Classification. Classification of topics based on the text using supervised learning algorithms with more than 90% of accuracy.
Social Media Analytics
TransOrg can provide a customized and dynamic dashboard that fetches messages, posts and tweets on real time basis from a variety of online sources such as chat or review forums, Facebook, Twitter, blogs and other social media websites. These dashboards can be customized to display relevant statistics and analysis including deciphering of even slang and colloquial phrases to help you understand what people truly feel about your products and services instead of merely applying rudimentary analytics based on frequency of words or phrases used.
What we do
Social Network Analysis. Understand composition of various social networks online; identify primary influencers and brand advocates within specific social networks.
Mix Market Modelling
Companies use multiple media channels and promotions such as TV, radio, internet, mobile and print advertising as well as price discounts, coupons and bundled offerings. A complex mix of own actions, competitors’ actions, regulatory changes and market events affect a product’s performance. The challenge lies in correctly separating the effects of marketing activities from all the above components.
What we do
Forecasting Capability. Forecast the ROI with the highest level of accuracy across different time horizons – short or long term across large datasets.