Solutions
- // Solutions //
- TV Demand Prediction //
- Success Stories
Success Stories
Leading Advertising Agency
In a dominant position regarding market share, improving the locations of purchase orders has allowed our client to free up advertising space worth one million euros monthly.
The Challenge
Large audience sizes of the client TV network have placed our client, in turn, in a dominant position regarding market share among open broadcast networks. In this context, the strong demand serviced by our client had saturated occupation levels of several segments on the programming grid.
In this scenario, the issues to be solved were the following:
In sum, the goal was not to attain a solution to find a good configuration by trial and error. On the other hand, it was intended to empower our client with a system capable of automatically recommending optimal ad placement to maximize economic profit.
In this scenario, the issues to be solved were the following:
- How to configure the advertising grid to maximize revenue.
- Acquiring the capability to simulate the effect of different segment configurations and program performances on the forecasted audience.
- Determine optimal commercial ad placements.
In sum, the goal was not to attain a solution to find a good configuration by trial and error. On the other hand, it was intended to empower our client with a system capable of automatically recommending optimal ad placement to maximize economic profit.
The Results
Neo Metrics' solution comprises three elements:
Forecasting advertising ratings short, medium and long-term for the different target of the various grid segments, both for our client and its competing networks. This forecast alone already allows significant pricing improvements for all advertising spaces.
"What-if" scenario simulation in order to determine:
Having an environment to simulate profit contributed by each commercial strategy, our client no longer needs to look for a good solution through trial and error. They can currently identify the most profitable solution in an automated fashion.
Forecasting advertising ratings short, medium and long-term for the different target of the various grid segments, both for our client and its competing networks. This forecast alone already allows significant pricing improvements for all advertising spaces.
"What-if" scenario simulation in order to determine:
- The effect on the audience of segment configuration changes
- The effect of own and competing program performance
- Economic impacts on the bottom line
- For a given grid configuration and expected audience, the expected revenues for the different possible locations of each purchase order.
Having an environment to simulate profit contributed by each commercial strategy, our client no longer needs to look for a good solution through trial and error. They can currently identify the most profitable solution in an automated fashion.
The solution implemented allows our client to forecast audiences by broadcasting segment and for each target six months in advance, with an average error of a half GRP.
The reductions achieved in average discount vary between 2% and 6%.
The reductions achieved in average discount vary between 2% and 6%.