TV Ad spend optimization AI / ML - Advertising Case Study Details

TV Ad spend optimization AI / ML - Advertising

A major retailer in the US was looking for optimizing their marketing budgets by getting accurate analysis of the ROI on television advertising.

CoreView helped with a solution using AI/ML to measure the effectiveness of the TV Ads to increase the ROI

The Challenges

The key challenges were -

To quantify the effectiveness of the promotion of a brand by TV AD and identify the ideal TV AD mix
Measurement of TV ad effectiveness and optimization of costs
No direct measure for effectiveness
Parameters and their impact on results is not well defined

Coreview’s Solution

CoreView built a solution with below features.

Analysis of TV Ad data across many channels and Sales data for last 12 campaigns
Data mapping and attribution – Time slots and duration, Type of Ads, TV Channels, Website traffic, Sales Numbers
Python/MongoDB – Data processing and time-series forecasting
Models based on State Space, Clustering and Markov Chain
Visualization using Tableau.

The Results - Reduced Customer Churn & Increased Revenues

This helped the company to bring a great customer experience with -

8% reduction in Ad spend
10% increase in ROI
Model for Cost Optimization
Recommendations for future TV Ad campaigns

8% reduction in TV Ad spend and 10% increase in ROI

CoreView understands technical as well as our business needs very well. They are very responsive and flexible in their approach to provide a right solution.

- CENTIUM CONSULTING

What we love about CoreView is their ability to provide valuable suggestions.

- KINIVO

CoreView helped us understand, formulate and align our Mobility strategy to our business.

- ACME

CoreView built us the best of breed SAAS platform to help us realize our vision.

- QUICK HEAL TECHNOLOGIES

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Case Studies

TV Ad spend optimization AI / ML Advertising