How Halliard works
A step-by-step explanation
How Halliard works
A step-by-step explanation
How Halliard works
A step-by-step explanation
1
We manage a panel of census weighted US respondents
We manage a panel of census weighted US respondents
We manage a panel of census weighted US respondents
All the data on our platform are extrapolated from the 1,000s of panelists we maintain who are paid to give us up-to-date insight on how, when and where they consume media. Our panelists are from a variety of sources and weighted to the US census to avoid any skew or bias in our estimates.
All the data on our platform are extrapolated from the 1,000s of panelists we maintain who are paid to give us up-to-date insight on how, when and where they consume media. Our panelists are from a variety of sources and weighted to the US census to avoid any skew or bias in our estimates.
All the data on our platform are extrapolated from the 1,000s of panelists we maintain who are paid to give us up-to-date insight on how, when and where they consume media. Our panelists are from a variety of sources and weighted to the US census to avoid any skew or bias in our estimates.
2
Our panelists tell us about their media consumption
Our panelists tell us about their media consumption
Our panelists tell us about their media consumption
We collect media consumption patterns for all channels in the tool. We ask panelists how often they engage with advertising on a particular channel. Using this data, we can build a view on the type of person who is more likely to be a heavy consumer of one channel versus another.
We collect media consumption patterns for all channels in the tool. We ask panelists how often that engage with advertising on a particular channel. U
We collect media consumption patterns for all channels in the tool. We ask panelists how often that engage with advertising on a particular channel. U
3
Using respondent answers, we create reach and overlap estimations between channels
Using respondent answers, we create reach and overlap estimations between channels
Using respondent answers, we create reach and overlap estimations between channels
Once we know a panelist's consumption of each channel, we use statistical reasoning to estimate the channel's reach as well as the overlap between other channels. For example, if someone is a heavy consumer of TV but doesn't really use social media then we consider them to be more likely to see a TV impression you might buy.
Once we know a panelist's consumption of each channel, we use statistical reasoning to estimate the channel's reach as well as the overlap between other channels. For example, if someone is a heavy consumer of TV but doesn't really use social media then we consider them to be more likely to see a TV impression you might buy.
Once we know a panelist's consumption of each channel, we use statistical reasoning to estimate the channel's reach as well as the overlap between other channels. For example, if someone is a heavy consumer of TV but doesn't really use social media then we consider them to be more likely to see a TV impression you might buy.
4
We run your scenarios through our optimization algorithm to find the most reach at the lowest cost
We run your scenarios through our optimization algorithm to find the most reach at the lowest cost
We run your scenarios through our optimization algorithm to find the most reach at the lowest cost
With this working model of how people consume advertising, we can optimize the most efficient combination of media channels to reach your target audience. The algorithm takes into account your budget, target audience and campaign length to deliver the highest available reach.
With this working model of how people consume advertising, we can optimize the most efficient combination of media channels to reach your target audience. The algorithm takes into account your budget, target audience and campaign length to deliver the highest available reach.
With this working model of how people consume advertising, we can optimize the most efficient combination of media channels to reach your target audience. The algorithm takes into account your budget, target audience and campaign length to deliver the highest available reach.