00:00Hey everyone, what's going on? Greg here again from Team Blast. I'm in Microsoft Copilot and I have
00:04three uploads from Local Falcon for one of my clients. This is the heat map. This is what I
00:08do next. So I'm going to say review these three images and let me know which dots have flipped
00:18to green. And I'm going to say that means a page one ranking on Google search, which is good.
00:27And then say, and then break down by the neighborhood, the population of those dots.
00:41Next, I want to see what the population size is of the latest scan that is read in the, or on the,
00:53on the upper right of the map. Okay. So I have a few prompts going on within Copilot.
01:02So this is actually kind of what I'm doing next. So they've, you know, Copilot has analyzed the three
01:07scans. So, you know, basically before, middle and after. Then I have the dots have flipped. So this
01:12is actually really important. So when I'm talking to my clients, a lot of this is saying based off
01:16the latest scan that took on December 29th, upper West side had three dots flip. And then you, as
01:22you can keep going through Harlem, East Harlem, et cetera, this is really important, especially if
01:26you're not too familiar with the location. So me as a consultant, I'm in New York, I have clients all
01:31over the place. And, you know, for example, like in San Diego, I don't really know the neighborhood.
01:35So I use this type of analysis to really analyze the heat map to get an understanding of what dots have
01:40flipped. But then let's actually count on what I do next. So within the Copilot analysis that I just
01:46did, then I want to look at different population sizes. So within New York City, it's a little bit
01:52difficult to get the granular pocket level of population because it's so small and it's so
02:01densely populated. But if you were, let's say where I am in, in upstate New York, if you were, let's say
02:07in Saratoga Springs or Ballston Spa, it's a little bit more populated. But if you go out
02:12to like Greenwich or other neighborhoods too, the population size can really decrease from,
02:16let's say 25,000 to then 2,000. So this analysis that I'm doing within Copilot really allows me
02:23to see, okay, here's the neighborhoods that I flipped. And then also kind of what is the
02:26potential opportunity? And this is what I really like. Estimated population coverage based on the
02:30average dot coverage, census data, about 160,000 residents that we could be going after for
02:36this particular type of heat map and the keywords. Now, obviously not everyone's gonna be searching
02:40for that, but it's the pockets of opportunity is really important. So when I'm talking with my
02:44clients and we're going over the heat map scan and we're talking about dots that are flipping and
02:49how many searches we're getting, how many impressions we're getting, and website clicks
02:53and phone calls, the next part of the conversation really is where are the pockets of population?
02:58So I use Copilot to get that initial baseline. And then I kind of share those results with my
03:02client and we talk about, do we want to go after these areas? How important are these
03:05thoughts for us to flip? And then also more importantly, this is where our target audience
03:09is, especially in New York City too. Are they going to be willing to let's say travel via train
03:14or subway or maybe car to the location for the particular service that my client provides?
03:21But anyway, I want to just record this video, talk a little bit of how I use Copilot to analyze
03:26the heat maps and kind of figure out the next steps, what I need to do with my clients,
03:29but just have that next step of the conversation, which is where we really want to target to
03:34flip more dots. Anyway, thanks for watching this video and stay tuned for the next one.
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