Speaker 1: Seven oh seven here at fifty five krc DE talk station,
Speaker 1: Brian Thomas switching everyone a very happy Friday and continuing
Speaker 1: our Friday theme which is always Tech Friday with Dave Hatter,
Speaker 1: we were moving over to artificial intelligence. My next guest,
Speaker 1: Greg Phillips. You probably know and my listening audience is
Speaker 1: familiar with the docu drama two thousand Mules. He happened
Speaker 1: to have been executive producer and co starred in that.
Speaker 1: But you also know may not know him, because we're
Speaker 1: going to talking about his company, ground Fusion AI, which
Speaker 1: apparently revolutionizes target targeted political engagement. They have data on
Speaker 1: two hundred and eleven million voters and like what billions
Speaker 1: of data points. Welcome to the program, Greg Phillips. It's
Speaker 1: a pleasure to have you on today.
Speaker 2: I appreciate it so much.
Speaker 1: Okay, first off, you have you have data in your
Speaker 1: in your website is ground fusion dot AI. My listeners
Speaker 1: want to go there. It's it's it's mind boggling how
Speaker 1: much information you have. Over one hundred billion would be
Speaker 1: data elements and two hundred and eleven million voter data information?
Speaker 1: Have I got that right?
Speaker 2: Yeah? You do?
Speaker 3: We we really got tired of getting beat by the
Speaker 3: other side because they've been doing things.
Speaker 2: Like this US for all these years. Obama did it,
Speaker 2: everybody does it.
Speaker 3: And so my partner Katherine Ingelbrickt and I just decided,
Speaker 3: you know what, we're going to build our own. So
Speaker 3: we started collecting data back years ago. We've got as
Speaker 3: as you point out, we have two hundred and eleven
Speaker 3: million registered voters in America. We have the entire country
Speaker 3: geo coded. We have cell phones, we have email addresses,
Speaker 3: we have consumer type data.
Speaker 2: What do people like, what do people do? We have
Speaker 2: know we know if they're you know.
Speaker 3: If they're pro gun, if they're pro you know, if
Speaker 3: they're if they have a faith base. And and we're
Speaker 3: able to not just put it all together and be
Speaker 3: able to pull out, say everybody in Cincinnati that's over
Speaker 3: sixty five and.
Speaker 2: Is widowed. That that's that's what's called a target.
Speaker 3: What we have the ability to do because not only
Speaker 3: do we have all the data, but we have a
Speaker 3: very sophisticated analytics underpinning that we can go in and
Speaker 3: do micro targeting. So I could tell you everybody in
Speaker 3: Cincinnati that's over sixty five and widowed, and on a
Speaker 3: fixed income, and that likes the reds and that does
Speaker 3: this and does that, And we can take that out
Speaker 3: to forty seven different data elements and do it at scale,
Speaker 3: so we could do it not just in Cincinnati, but
Speaker 3: all over the country for anyone to fit that category.
Speaker 3: And then we can send them a text, we can
Speaker 3: send them an email, we can send their information out
Speaker 3: to our vaun tears to make calls. And so it's
Speaker 3: absolutely game changing. In forty four years in this business,
Speaker 3: I've never not only seen anything like it, I've certainly
Speaker 3: never had an opportunity to use something like it.
Speaker 2: And it absolutely is changing the game for us this year.
Speaker 1: Well, the context in which I can see this is
Speaker 1: most valuable, and you're talking with someone who is in
Speaker 1: no way, shape or form anything related to it. A
Speaker 1: tech guy, I mean, I try to avoid it. It
Speaker 1: all costs me quite candid with you. But in the
Speaker 1: old days, I would say you had to blanket like
Speaker 1: with a mail or you just sent it to literally
Speaker 1: every address and hope that you know, you made some
Speaker 1: good with somebody who was maybe capable of being influenced
Speaker 1: and undecided voter. But it had to go out to
Speaker 1: all the addresses. Now with your ground Fusion AI platform,
Speaker 1: it seems to me that by doing this data analytics,
Speaker 1: you can find the voters that appear to be the
Speaker 1: ones who are independent, who maybe are swing voters, and
Speaker 1: so you could you could go after the ones. You know,
Speaker 1: that guy over there is a diehard Republicans, voted Republican,
Speaker 1: you know for the last you know, ten, twelve, fourteen elections.
Speaker 1: And that guy over there is a diehard Democrat. You
Speaker 1: know what organizations he supports and belongs to. He's never
Speaker 1: going to be convinced. But here's a big group of
Speaker 1: people you might be able to influence with some sort
Speaker 1: of targeted advertisings. Have I got that down sort of right?
Speaker 2: Yeah, you got it exactly right.
Speaker 3: And even better than that, we can create targeted messages
Speaker 3: at each one of those individual groups. So that group
Speaker 3: that I described earlier, we may we may send a look,
Speaker 3: she's destroying us with their inflationary policies. A younger group,
Speaker 3: we may send out something completely different that is targeted
Speaker 3: at young people that just says, look, the reason you
Speaker 3: can't buy a house and you'll never be able to
Speaker 3: buy a house is Kamala Harris. And so we can
Speaker 3: take those kind of cohorts and blend them and get
Speaker 3: them available, make them available to campaign, but not just
Speaker 3: make them available, but deliver those messages. That's sort of
Speaker 3: on the get out the vote side and the political
Speaker 3: side on the other side. Katherine Ingelbrackt, my partner who
Speaker 3: runs a called True the Vote, who is also.
Speaker 2: In the movie with Yeah, yeah, we.
Speaker 3: Are able to not just do what we're doing on
Speaker 3: the political side, but we can take this data and
Speaker 3: do it.
Speaker 2: On the election integrity side.
Speaker 3: So we have built apps on top of it so
Speaker 3: groups like Catherines can go use. We have an app
Speaker 3: called IV three IV three dot us. Katherine and her
Speaker 3: team just completed a project to clean a million ineligible
Speaker 3: voters off of the roles across the United States and
Speaker 3: the most amazing project I've ever seen. And again it's
Speaker 3: just another way to use the quality data and the
Speaker 3: capability we have to be able to deliver these answers
Speaker 3: in real time.
Speaker 1: So in essence, she you, we're doing the work of
Speaker 1: the Secretary of State's office.
Speaker 3: Yeah, exactly, And in fact it was her volunteers that
Speaker 3: were doing it. So we created an app that would
Speaker 3: allow somebody to sit it them on their phone. We'd
Speaker 3: have to enroll them and get them all set up
Speaker 3: in their county. But once they were set up in
Speaker 3: our system, we would serve them record by by record,
Speaker 3: just in a row. They could do one or they
Speaker 3: could do one hundred and one. We had a few
Speaker 3: people do over ten thousand challenges in their county, and
Speaker 3: we would serve up the information that we had said, Okay,
Speaker 3: this person doesn't live here anymore, this person lives in
Speaker 3: Georgia and they voted in Georgia in twenty twenty two.
Speaker 2: They don't need to be on the.
Speaker 3: Rolls, And so we would create the mechanism for them
Speaker 3: to be able to challenge that person who had already moved.
Speaker 2: And send it along to the county and or the
Speaker 2: secretary state in what state they were in. I think
Speaker 2: there are thirty one hundred or so.
Speaker 3: Counties in the United States, and we cleaned ineligible voters
Speaker 3: off of eighteen hundred counties, one hundred counties, more than
Speaker 3: a million people. Yeah, it's really really exciting, and and.
Speaker 2: You know, part of it is.
Speaker 3: Just an overall effort to give people the tools. People
Speaker 3: in America are awake now, they want to help, and
Speaker 3: so if you give.
Speaker 2: Them an opportunity to get out and help.
Speaker 3: You know, some people might want to work on their phone,
Speaker 3: maybe a little a little introverted. We have other apps
Speaker 3: that plug into the database that allow people to go
Speaker 3: out and do that door knocking that I was talking about. Yeah,
Speaker 3: and as you point out, instead of knocking on every
Speaker 3: single door in the neighborhood, well you really only need
Speaker 3: to knock on these twenty doors. And so give them that,
Speaker 3: give them the maps, give them everything that they need.
Speaker 3: We have a little survey capability inside of the system
Speaker 3: so that we can create those surveys when they go
Speaker 3: knock on the door, say hey, Greg Phillips, is I'm
Speaker 3: working with Greg Phillips. He's running for school board. You know,
Speaker 3: have you heard of him?
Speaker 2: Yes?
Speaker 3: Okay, mark that on the phone. You know, would you
Speaker 3: consider voting for him if you knew that, you know
Speaker 3: that he supported you know this, this and this and
Speaker 3: so having that is great and having those answers is great.
Speaker 3: But now we can take that and put that back
Speaker 3: into the system. And so then when they're when they're
Speaker 3: wanting to send out messages to people who answered yes
Speaker 3: to all three of those questions for five of those questions.
Speaker 3: They simply just hit a button and it's out the door,
Speaker 3: and we're contacting them in real time.
Speaker 2: With this message.
Speaker 1: Absolutely amazing, it's just.
Speaker 2: Yeah, it's it's it's true. It's truly game changing.
Speaker 1: And now I speak with Americans for Prosperity regularly on
Speaker 1: the Morning show and they have an entity AFP action
Speaker 1: dot com and their job is to get people my listeners.
Speaker 1: Anybody who wants to help out, to become door knockers
Speaker 1: to spread the information, would an organization like AFP Action
Speaker 1: contact you so they know which doors to knock on?
Speaker 1: I mean, are they doing I don't know if you're
Speaker 1: familiar with the Americans for Prosperity, but it seems to
Speaker 1: me like that's the best possible place to go is
Speaker 1: your organization, because you have all these data points, they
Speaker 1: want to do the door knocking work. You're not going
Speaker 1: out knocking on doors, greguar So, I presume that's not
Speaker 1: the goal of ground fusion, but it's to provide the
Speaker 1: opportunity for that targeted door knocking or targeted messaging. So
Speaker 1: any organization out there like AFP would be working with you, I imagine.
Speaker 2: Yeah they are.
Speaker 3: And while AFP in particular, we have an opportunity to
Speaker 3: speak with them. We have groups all over the country
Speaker 3: that we are providing now the data to or providing
Speaker 3: the tools.
Speaker 2: And the best thing about it is because some.
Speaker 3: Of these people, including AFP by the way, have some
Speaker 3: of their own tools, we can just give them the
Speaker 3: data and they can run it through their tools.
Speaker 2: Ours happens to be. We built our.
Speaker 3: Own mapping system because we didn't want Tom refterply on
Speaker 3: Google or anybody else. So we've done a lot of
Speaker 3: things in OURS that are interesting. But again, we're not
Speaker 3: interested in you fame or fortune or anything else in this.
Speaker 3: We want to work with as many groups as we can.
Speaker 3: Athrones working with Moms to Liberty on an election integrity
Speaker 3: project right now around the United States, we're doing individual
Speaker 3: state based projects. We even have a project called Community
Speaker 3: Data Grants where that guy was talking to you baby
Speaker 3: running for school board that example I gave earlier, Well,
Speaker 3: what if it wasn't me, what if it was somebody else.
Speaker 3: The hardest part about running down ballot is a lot
Speaker 3: of these people have never run before. They don't have data,
Speaker 3: they don't have tools, they don't know who the FP is,
Speaker 3: they can't do anything right. We created a mechanism to
Speaker 3: get those down ballot races that they're voters, the voters
Speaker 3: that fit their needs and their profiles, and just give
Speaker 3: it to them, because I'll tell you what if we
Speaker 3: moved the needle down ballot. Let's say we had a
Speaker 3: thousand races around the country, which we're close to being
Speaker 3: at right now, a thousand down ballot races, and we
Speaker 3: can change just one hundred, one hundred, or put one
Speaker 3: hundred ballots on our side of the scoreboard for those
Speaker 3: hundred thousand people. If you don't think that's going to
Speaker 3: move the needle on the up ballot side, the.
Speaker 2: Presidential side, oh yeah, or the Senate side.
Speaker 3: Or you know, you guys have some really more races
Speaker 3: in Alia this year and in Kentucky. We're doing some
Speaker 3: amazing work and pretty much put throughout your listening area.
Speaker 2: It's really.
Speaker 3: There's a way to make this benefit, not just for
Speaker 3: the president, not just for these guys ladies running for
Speaker 3: governors or senators or congress or whatever they're doing.
Speaker 2: But that down ballot stuff is going to move.
Speaker 3: The needle and make a difference in a way that
Speaker 3: we have never seen on our side.
Speaker 1: In all of my lifetimee No, without question, and going
Speaker 1: back to down ball races, usually they're very low funded,
Speaker 1: not a whole lot of people, you know, making massive
Speaker 1: campaign contributions to them. Folks can barely afford to get
Speaker 1: yard signs out and pay for those, let alone come
Speaker 1: up with critical breakdown analysis that you're doing at ground Fusion.
Speaker 1: It's just wow. I agree with you. This sounds truly
Speaker 1: truly game changing. And you do work. I mean the
Speaker 1: front page of your website specifically mentioned conservative campaign you're
Speaker 1: working for and in the interest of conservative individuals and organizations.
Speaker 2: It sounds Yeah.
Speaker 3: We've spent a lot of time really segmenting and figuring
Speaker 3: out sort of who we wanted to go with and
Speaker 3: how we wanted to do this, and it's the reason
Speaker 3: that we decided to move to the community data grants.
Speaker 2: You know.
Speaker 3: Working on the presidential race and working in these senate
Speaker 3: races and statewide races broadly and all the way down
Speaker 3: to Congress is pretty easy, right. I mean, we can
Speaker 3: go out and calling people, we know a lot of
Speaker 3: folks have been in this business a long time, and
Speaker 3: we can get those campaigns up.
Speaker 2: But by far the most gratifying work that we're.
Speaker 3: Doing right now, and the most meaningful work, in my opinion,
Speaker 3: is through these community data grants.
Speaker 2: Many of these.
Speaker 3: Races are nonpartisan, right if you've got a school board
Speaker 3: races as they could be able to in many states,
Speaker 3: you can't tell those Republicans or Democrats, and so you
Speaker 3: need to know who those people are. So going out
Speaker 3: and doing that level of work figuring out who are
Speaker 3: the people we need to be supporting across the across
Speaker 3: the state. We're doing a project down in Alabama with
Speaker 3: the chairman or well with them, but they helped us
Speaker 3: target some of the district chairman of the Alabama GOP,
Speaker 3: I mean John Wall John and I got together and
Speaker 3: figured out I think it's sixty eight different races down ballot,
Speaker 3: all of them nothing above say.
Speaker 2: A county level election. We found sixty eight.
Speaker 3: Up in Alabama that we believed that if we were
Speaker 3: all these up, it can turn it can it can
Speaker 3: flip at least one congressional district from A from A
Speaker 3: from ded R and so. And even though it's not partisan,
Speaker 3: we were able to use our data to say there's
Speaker 3: no way that this district, uh, you know, should this
Speaker 3: county should be represented by people that are you know,
Speaker 3: have all these vote policies right, these ideas on kids
Speaker 3: and things should shouldn't be teaching them and should should
Speaker 3: be showing them.
Speaker 2: And we're able to go then into that county.
Speaker 3: We're across that that those down ballot races in a
Speaker 3: congressional district and finding sixty races that that all we
Speaker 3: asked them to do is look, just use our data
Speaker 3: to to your right, because we already.
Speaker 2: Know that they support the type or that.
Speaker 3: They're going to be supported by the type of people
Speaker 3: that would vote for uh, you know who who the
Speaker 3: you know up ballot races.
Speaker 1: Are Yeah, help me, help you here. You are Community
Speaker 1: grand Program, Greg Phillips and it listen. I could probably
Speaker 1: talk to you for hours. I am out of time,
Speaker 1: but I'm going to recommend my listeners check it out.
Speaker 1: I know there's a lot of races going on that
Speaker 1: can certainly use your data and your information. Ground Fusion
Speaker 1: Dot a I is where you find Greg and his team.
Speaker 1: Greg's been fascinating conversation. I wish you all, I think,
Speaker 1: thank you for what you're doing first off, but wesh
Speaker 1: you all the luck with the upcoming November election. And
Speaker 1: I know we'll be hearing about you and from you again,
Speaker 1: I hope soon. Thank you so much, My pleasure, Greg,
Speaker 1: my pleasure. It's coming up in seven twenty two fifty
Speaker 1: five Krcity Talk Station,