TV Ad spend optimization AI-ML
Customer Challenges:
- 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
Result:
- 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
CoreView Solution:
- 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
Other Considerations:
- No direct measure for effectiveness
- Parameters and their impact on results is not well defined
