Currently, candidates try to reach voters by sending messages to them.

They don’t know HOW to reach each voter, — via email, text messages, postcards, news, billboards, social media, or ads on TV , radio, or the web — so they have to try all of them.

They don’t know WHEN voters are receptive, so they try lots of different times.

They don’t know WHAT each voter wants to hear, so they choose a few issues which they think a lot of voters will like. But they end up skipping most issues important to each voter and sending short, low-content messages.

Not knowing How, When, or What leads to inefficiency. In other words, it’s expensive. It’s ripe for disruption. Today, politicians are hoping (or fearing) that AI can answer these questions. Good luck with that! Knowing is not always the answer to not knowing.

They’re missing a much more direct approach, the one PeopleCount has designed.

Instead of PUSHING content to the voter, PeopleCount will put the voter in charge of PULLING richer content on the issues important to the voter, when it’s convenient for the voter, and in a way that works for them. 

Plus, by design, it will have a context that rewards voters. It lets them quickly have choice, power, and responsibility.

What’s more disruptive than a better, less expensive solution? A whole paradigm shift.

It’ll make politics rewarding for politicians and rewarding for voters. If I wrote a lot more, you’d see that this is the foundation that will make democracy work.

Go to PeopleCount.org today and sign up for the mailing list.
Support PeopleCount and be invited to join the Beta.