Evaluating Email Campaign Effectiveness
For a leading software company, campaign management was made efficient by building a real-time platform that used customer profiles, previous subscription information, and traditional email data.
Marketing Analytics
MACD Analysis: A Framework for Allocating Marketing Spends During COVID-19 Recovery
The MACD framework was instrumental in identifying growth and engagement markets for a leading travel company, which the marketing team leveraged to allocate marketing budgets for spends.
Improving Marketing Effectiveness through Purchase Intent Modeling
Relevant social conversations were mined for a leading US-based bakery chain, which reduced time to market by 2x, identified emerging trends early on, and catered to consumer emotions and excitement, increasing product overall sales and ticket sizes.
Social Media Analysis to Understand Youth Segment Banking Needs
Based on unbiased conversations sourced from social media, LatentView Analytics’s Natural Language Processing (NLP) platform helped one of the top five largest banks in the US to create a product association map for the youth segment.
Social Media Based Demand Space Analysis to Drive Product Innovation
The ‘best’ micro-occasions in terms of product fit, popularity & brand fit were identified for a US-based food manufacturer using social media data analysis. Micro Occasion analysis was used to formulate new products in the LATAM region.
Increasing Sign-ups Through Attribution Modeling
Using the Triangular Technique helped a global business and financial software company change their strategic decision, which led to an increase in the overall sign-ups by 16%.
Self-Service Platform for Media Mix Modeling and Budget Optimization
Models were developed for a top global technology solution and service provider using Ridge regression, halo impact analysis, and S-Curves. The GUI-based tool helped allocate budget across various activities optimally, which influenced an uplift of ~ $200 Million in opportunity value annually.
Improving Marketing Effectiveness through Purchase Intent Modeling
An Azure ML- cloud-based modeling automation framework was built for a leading global software company, which helped the marketing team make the right tweaks to their spend value of $1.6 billion, thereby improving marketing ROI by 3-4% an average.
Social-Based Consumer Need Analysis for Product Development Roadmap
Lexical analysis of organic social conversations for a leading global software company enabled the product marketing team to prioritize the features to be developed and make a detailed product development roadmap.
Survey Design to Estimate Purchase Intent
A survey was designed to capture essential data for a leading online marketplace, and a regression framework was formulated to understand purchase intention. Correspondence analysis was done for brand perception. These resulted in effective promotion campaigns to convert purchase intention to sales.
