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How i use ai inside my business to print $750k/week — Transcript

by Sabri Suby · 2,862 words · 394 segments · language en · Watch on YouTube

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  1. 0:00This is exactly how I'm implementing AI
  2. 0:02to be in every single inch [music] of my
  3. 0:05business. AI is obviously all the rave
  4. 0:07right now. Everyone's talking about
  5. 0:08implementing it, using it in their
  6. 0:10business, and how they're getting more
  7. 0:11output. What I will say is that nine out
  8. 0:14of 10 people [music] that you see online
  9. 0:16talking about AI and how it's
  10. 0:18revolutionized their business, these
  11. 0:20people are broke and they're typically
  12. 0:22selling you a course on AI
  13. 0:23implementation. So, I actually run a
  14. 0:26business. I have a real team. I've got
  15. 0:28100 plus full-time employees
  16. 0:30>> [music]
  17. 0:30>> in my business. So, I'm not some
  18. 0:32freelancer that's basically sitting down
  19. 0:34all by myself trying to have 20 [music]
  20. 0:36agents with me and not have any
  21. 0:38employees at all. So, what I'm going to
  22. 0:40do in this video is just walk you
  23. 0:41through exactly how I'm implementing it
  24. 0:44in my business [music]
  25. 0:45to get the most output. And it's
  26. 0:46typically the opposite of how most
  27. 0:48people look at it. Now, whatever I have
  28. 0:50observed from having thousands of
  29. 0:51clients all around the world is when it
  30. 0:53comes to AI, most people are like, "Hey,
  31. 0:56can you write me this ad? I want you to
  32. 0:57act as a Bain or McKinsey consultant.
  33. 1:00Look at this. Re-look at my employment
  34. 1:02contracts." Something like that. And
  35. 1:03it's like they start from zero and then
  36. 1:05they want AI to take them from where
  37. 1:07they are to the end point. Now, while
  38. 1:09you can use AI to do that,
  39. 1:12right now, that still gets you a very
  40. 1:14mediocre output. So, one of the
  41. 1:16exercises that I do in my business, and
  42. 1:18I did it just last week, and I'll run
  43. 1:20you through it right now, and it is
  44. 1:22something that would have taken me years
  45. 1:25to basically do before I had AI. So, in
  46. 1:28my business right now, we've had like
  47. 1:30the last 2 and 1/2 months that have been
  48. 1:32low sales months. And so, I've been
  49. 1:34obviously speaking with my team and
  50. 1:36trying to get to the bottom of it. Leads
  51. 1:37are very, very strong. Super quality,
  52. 1:39high quality leads coming in. We've had
  53. 1:41a bit of turnover on sales team. And so,
  54. 1:43I wanted to basically dig into what is
  55. 1:45going on. So, what I did is I went into
  56. 1:48ZoomIQ and well, not me personally, I
  57. 1:51had my team do it, and pull every single
  58. 1:54sales recording for the last year and a
  59. 1:55half in my business that was beyond a
  60. 1:59certain time limit. And so it pulled out
  61. 2:025,338
  62. 2:04sales call that were
  63. 2:06substantive agency sales call. So this
  64. 2:09doesn't include like my high ticket
  65. 2:10programs or anything like this. This is
  66. 2:12exclusively just for agency. Then it
  67. 2:15listened to every single one of those
  68. 2:17sales calls, right? From the transcript.
  69. 2:19And I said, "Okay. Now what I want you
  70. 2:21to do is I want you to act as a sales
  71. 2:24manager and I want you to rip through
  72. 2:26all of these sales calls and I want you
  73. 2:27to rank each and every rep." Then it
  74. 2:30ranked them on dials, talk time, and put
  75. 2:33a full trend analysis for all of those
  76. 2:35things. And what you can see on the
  77. 2:37screen
  78. 2:38>> [clears throat]
  79. 2:38>> is what it produced for me. The level of
  80. 2:40detail that it's got on this thing. Like
  81. 2:43it's got all of the questions, what
  82. 2:45percentage of the call that they were
  83. 2:46asked, um which script questions did get
  84. 2:49asked, script adherence by rep, so
  85. 2:51ranking all the reps and how how they
  86. 2:53adhere to this stuff. Um and then it
  87. 2:56gives me a team scorecard.
  88. 2:59And breaks through all the different
  89. 3:00team scorecards. Um if they went for a
  90. 3:02one call close, um how did they do on
  91. 3:05their discovery? Did they ask a
  92. 3:07commitment? Like on a scale of 1 to 10,
  93. 3:09how committed are you to solving this
  94. 3:10problem? Um and then they use the
  95. 3:13specific close sequence that we use on
  96. 3:15our calls. Then did they lock down the
  97. 3:18second call? And how did they end the
  98. 3:20call? What their talk time percentage is
  99. 3:22here. You can see here like okay, they
  100. 3:23talked 52% of the time. Um they handled,
  101. 3:26you know, 68% of the objections. Then it
  102. 3:29will give me like a full month-by-month
  103. 3:31breakdown of how this trend looks over
  104. 3:34time. AI's only as good as the context
  105. 3:36window that it is that you give it. And
  106. 3:38so effectively, the first thing that I
  107. 3:40do, I'm running you through how I use
  108. 3:42this for my sales team. I'm going to
  109. 3:44show you how I used it in other areas of
  110. 3:45my business as well. But effectively,
  111. 3:48you want to give it as much context as
  112. 3:50possible. And most people, they
  113. 3:51understand that, but they don't actually
  114. 3:53do it because it's quite difficult to
  115. 3:55do. I'm the guy that can have the big
  116. 3:57picture of like where the most value
  117. 4:00would be unlocked by using AI in my
  118. 4:02business, and then collecting all that
  119. 4:03data and then going through. I'm not the
  120. 4:04guy that's going to create all these
  121. 4:06workflows and automation. And to be
  122. 4:08honest, I think a lot of the people that
  123. 4:09are teaching that online are
  124. 4:10completely broke anyway. So, just
  125. 4:12imagine, right? Like I asked my sales
  126. 4:14manager to physically listen to 117,000
  127. 4:18sales calls to then identify the 5,800
  128. 4:21that are worth going really, really deep
  129. 4:22in, and then ranking them and scoring
  130. 4:24them and doing all of these things. Like
  131. 4:26this is typically what people would pay
  132. 4:27these management consultants, like 1 and
  133. 4:301/2, 2 and 1/2, 5 million dollars as a
  134. 4:32consulting project at Bain, McKinsey,
  135. 4:35Boston Consulting Group to actually do
  136. 4:37in their business, where they go in,
  137. 4:39they create a data room, they pull all
  138. 4:41of this stuff, then 6 months later they
  139. 4:43come back to you with your report after
  140. 4:44spending hours of calls on like Zoom and
  141. 4:47consulting calls and engagement letters
  142. 4:49and all this nonsense, right? This took
  143. 4:51me like a day to do.
  144. 4:53It probably took a couple of hours for
  145. 4:55my team to pull the data for me, and
  146. 4:57then I went back and forth with this for
  147. 4:58a day to get all of this data. And, you
  148. 5:02know, I obviously had a hunch at where
  149. 5:04where things were going, but you can't
  150. 5:07get this level of detail from speaking
  151. 5:09with your team. And realistically, while
  152. 5:12no one really wants to admit it, it's
  153. 5:14like if you want anything done properly,
  154. 5:16you need to do it yourself. Like all of
  155. 5:19my billionaire friends, all of my
  156. 5:20friends that have got companies that are
  157. 5:22doing hundreds of millions of dollars,
  158. 5:24it's the same recurring theme. It's the
  159. 5:26stuff that no one wants to talk about
  160. 5:29like online and put it in videos like
  161. 5:31this, where they're like, "Yeah, like,
  162. 5:33you know, I've got a very great
  163. 5:34management team, and they just run
  164. 5:36everything for me." The reality of that
  165. 5:38happening is actually very, very low.
  166. 5:40Does that mean that you need to, you
  167. 5:42know, do everything yourself and you
  168. 5:44can't rely on anybody? Absolutely not.
  169. 5:45I've got some absolute savages in my
  170. 5:47business that I can rely on, but it's
  171. 5:49things like this. Like no one's going to
  172. 5:51sit down and really dig through all of
  173. 5:54this data to this level of deep analysis
  174. 5:56for you and come up with this idea.
  175. 5:58Well, they might, but it's very, very
  176. 5:59rare. When I catch up with my
  177. 6:00billionaire buddies and I see the level
  178. 6:03of detail that they get involved in or I
  179. 6:04look at, you know, the clients that I've
  180. 6:06got that are doing tens of billions of
  181. 6:08dollars in revenue and I hang out with
  182. 6:10their management team. Like these people
  183. 6:13are absolute savages in going from the
  184. 6:16clouds all the way down to the dust. And
  185. 6:20the dust is what most entrepreneurs
  186. 6:22don't want to deal with, but the dust is
  187. 6:24where the hundreds of millions of
  188. 6:26dollars are to be made because it's very
  189. 6:29easy just to be like, "Hey, this is like
  190. 6:32I shouldn't be This is below me. I
  191. 6:33shouldn't be getting involved in this
  192. 6:35level of detail." Why not?
  193. 6:38Why not, right? And it's typically some
  194. 6:40belief or identity that the business
  195. 6:42owner has, but if you look at like
  196. 6:44stories of Elon, like he will literally
  197. 6:46find a problem in his business, then he
  198. 6:48will go and camp out, sleep on the
  199. 6:49factory floor to find out what that
  200. 6:51constraint is to get the throughput. So,
  201. 6:53it's like if the richest man in the
  202. 6:55world does it, then why can't you do it?
  203. 6:57You know, you want to use AI to be able
  204. 6:59to be in every single inch of your
  205. 7:01business and it's impossible to do it
  206. 7:02unless like this would have just been
  207. 7:04too much of a burdensome time exercise
  208. 7:06for me to do with AI didn't leverage AI.
  209. 7:08And so, this gives me a full analysis of
  210. 7:11trending, where the training was at,
  211. 7:13what's going on in the meeting rooms,
  212. 7:15what is the review cadence of calls,
  213. 7:17what is like the words that are being
  214. 7:19used, what's the word cloud, the the the
  215. 7:21recurring themes. And so, this is just
  216. 7:23one way to do it in your business. So, I
  217. 7:25would highly recommend that if you run a
  218. 7:28sales team to go pull all of your call
  219. 7:30transcripts and to run the very same
  220. 7:32process. It will absolutely be
  221. 7:34enlightening. I am now going to reoccur
  222. 7:36set this up as a recurring task that
  223. 7:38happens from my team once I built it out
  224. 7:40once, so it'll happen in week and it
  225. 7:42allows me to get like a high-level
  226. 7:44executive look at what like the pulse of
  227. 7:47my market, what's being said on sales
  228. 7:49calls, what's coming up in the economy,
  229. 7:51like what competitors are being named on
  230. 7:53sales calls, what are the the the number
  231. 7:55one things that are stopping people from
  232. 7:56going back, um what are the number one
  233. 7:58things that are holding people back from
  234. 8:00buying, or what are the objections that
  235. 8:01they're presenting on these calls. We
  236. 8:03are living in the most incredible time
  237. 8:05ever to be a marketer. This is just a
  238. 8:07way that you can apply it on the sales
  239. 8:09team. Another exercise that you can do
  240. 8:10with your e-com business, or if you
  241. 8:11don't run a sales team, is you can pull
  242. 8:14all your customer support tickets,
  243. 8:15right? Same thing. Load them up into a
  244. 8:18Claude project. That's one context
  245. 8:20window. Then, you are you basically say,
  246. 8:22"What are my top five biggest
  247. 8:24competitors online?" If you're too lazy
  248. 8:26and you don't know what they are, then
  249. 8:28you're like, "Okay, cool. Um I want you
  250. 8:30to go read all of their Trustpilot
  251. 8:31reviews, all of their Google My Business
  252. 8:34listing reviews, all um any review
  253. 8:37platform basically that exists. What are
  254. 8:38the reoccurring themes that come up?"
  255. 8:40Then, you take all of that information,
  256. 8:42right? And then, you ask Claude, "Hey,
  257. 8:44can you categorize this into five
  258. 8:46distinct angles that I could write ads
  259. 8:48about?" And then, it will write the ads.
  260. 8:51And like the big thing here is if you
  261. 8:54just ask AI to write ads for you, it's
  262. 8:57going to be dog It's going to be
  263. 8:59complete and utter dog And I can
  264. 9:01tell you from speaking from experience
  265. 9:02from working with so many different
  266. 9:04businesses around all the world, looking
  267. 9:05at people's ad accounts, and literally
  268. 9:07auditing them for a living, and then
  269. 9:08being paid by
  270. 9:11having to beat those results by a
  271. 9:13minimum of 30%, otherwise my agency
  272. 9:15doesn't get paid. So, I see this I have
  273. 9:18a very unique vantage point that most
  274. 9:20people don't have. Even for the guys
  275. 9:21that are spending like, you know, tens
  276. 9:23of millions of dollars a month, they're
  277. 9:25only spending that in their business in
  278. 9:27their niche. But like, not only do I
  279. 9:29have thousands of clients, but then in
  280. 9:31addition to that, like we we speak with
  281. 9:34tens of thousands of businesses a month.
  282. 9:36So, I have a very unique vantage point
  283. 9:38and I can tell you unequivocally that
  284. 9:40most AI ads are just killing ROAS. So,
  285. 9:43instead, when you give it all that
  286. 9:45context window, then you can basically
  287. 9:48give it your framework of your winning
  288. 9:50ads that you're already running in Meta
  289. 9:53and you can say, "Okay, now take all of
  290. 9:55these insights and I want you to write
  291. 9:57me five unique ads based on these
  292. 10:00angles, but I want you to do it based on
  293. 10:02this winning ad format." And if you show
  294. 10:05this ad to 100 people, not one in 100
  295. 10:09should be able to tell that it was
  296. 10:10written by a different copywriter. Then
  297. 10:12it will go out and it will write you
  298. 10:13five different ad angles. Then you can
  299. 10:15say, "Write me 20 different headlines
  300. 10:17for all of these ad angles. Here are my
  301. 10:19top 100 winning headlines from my ad
  302. 10:21account." Boom. Then, what you do is you
  303. 10:24run that, you chuck them in a CBO, you
  304. 10:27let them run, you see which ones are the
  305. 10:29winners, then which are the ones from
  306. 10:31the winners from the statics, and if you
  307. 10:33don't know how to create like a winning
  308. 10:34static ad,
  309. 10:36here's a plug, use my platform
  310. 10:37getkong.ai. I've got all my winning ad
  311. 10:40statics in there from spending $300 in
  312. 10:43ads. You can just swipe and deploy them.
  313. 10:45You can even jack me and use a 7-day
  314. 10:47free trial and go create a bunch of ads,
  315. 10:50right? Um that's how much I want you to
  316. 10:52win. Then you run them as static ads.
  317. 10:54Then after you've done that and you find
  318. 10:56the winning angles, then I want you to
  319. 10:58basically create a mini
  320. 10:59two-to-three-minute VSL based on the
  321. 11:02winning angle and run that as an ad.
  322. 11:04Then this is the same process like we've
  323. 11:07done it for writing ads, then you can do
  324. 11:08the same process for writing emails, for
  325. 11:10having an FAQ question on your sales
  326. 11:13pages, on your landing page based on all
  327. 11:15the ticket support customer support
  328. 11:17tickets of like what are the things that
  329. 11:19people are talking about that aren't
  330. 11:20appearing on reviews or forums. And you
  331. 11:22get all this collateral and it just
  332. 11:23basically results in you being able to
  333. 11:26be in every single inch of your business
  334. 11:28everywhere. And so, I think that what
  335. 11:31like the interim is going to look like
  336. 11:34for most businesses is not just
  337. 11:36replacing entire departments with AI.
  338. 11:39Um that will obviously come, but it's
  339. 11:40more so of having like an AI employee on
  340. 11:43every single team that does all this
  341. 11:45stuff. Like it just does the stuff that
  342. 11:47humans are not going to do or it's going
  343. 11:49to take them like it's going to be a
  344. 11:50full-time job just to troll and listen
  345. 11:52to these sales data, right? Um and even
  346. 11:55if it's a full-time job, they still
  347. 11:56can't get to it. It would literally take
  348. 11:57a month if not years to do that. And so
  349. 12:00this is the way that I'm thinking about
  350. 12:01AI in my business. It's about how can I
  351. 12:04be absolutely across everywhere
  352. 12:07and micromanage the process. I know
  353. 12:10that's a dirty word, but it is a word
  354. 12:12that equates to hundreds of millions of
  355. 12:14dollars. And it's a way that you can
  356. 12:17micromanage it and still focus on
  357. 12:20growing the business because you can
  358. 12:22leverage AI to get you all of this data.
  359. 12:24So, I hope you enjoyed this video.
  360. 12:26Basically, just take one error in your
  361. 12:28business that is a constraint or is a
  362. 12:30the pain point in your business right
  363. 12:31now. Implement this process. It will
  364. 12:34like this has been an incredibly
  365. 12:36eye-opening experience for me. And when
  366. 12:38I look at the data, like you can see
  367. 12:40here like where the coaching is landing.
  368. 12:42Like this kind of stepped in at March um
  369. 12:44and then boom, it started to to lift
  370. 12:47immediately. So, it's just we're living
  371. 12:49in an incredible time to be an
  372. 12:50entrepreneur. If you have the creativity
  373. 12:52to apply AI, do not be lazy. Do not go
  374. 12:55from zero from a blank page and ask it
  375. 12:57what to do. Go out there and give it as
  376. 12:59much context as you possibly can. Um
  377. 13:01feed it. Have a very, very clear outcome
  378. 13:03of what it is that you're looking to
  379. 13:04achieve. And this is the way that you
  380. 13:06can just go out and explode your
  381. 13:08business. Um so these kind of raw videos
  382. 13:11is something that we're experimenting on
  383. 13:13the channel with. If you enjoy this, I
  384. 13:15know I've been getting feedback of like,
  385. 13:16"Hey, we love this. We love this deep
  386. 13:17source and not all these fast-paced
  387. 13:19cuts." It's something that we're
  388. 13:20trialing out. Let me know in the
  389. 13:22comments if you guys enjoy this. And if
  390. 13:24you do enjoy it, what other topics do
  391. 13:25you want to see me talk about? Wherever
  392. 13:27you're watching this in the world, stay
  393. 13:28dangerous, go get them, and I'll see you
  394. 13:30in the next one.

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