Today is another installment of mastermind discussions where we choose a relevant topic or pain point brought up in our private slack group, and a few of us record our views and suggestions in a podcast episode.


Topic; “Democratizing Productivity” In your app/saas using Coaching Networks and Productized Best Practices

  1. Create coaching networks within your user-base (forum / marketplace)
  2. Looking at what the top 5 users are doing
  3. Roll those up into the product as enhancements

Our intro’s:

Alex – Founder,

Zack – Founder, CTO (exited recently) Consultant

Matt – Founder of

Who is this discussion for?

This is most-relevant for saas founders with multiple users who are experiencing a lot of success with the application/product (i.e. at least a few satisfied clients using the product in interesting ways).

Ways to get started:

  1. Determine if this will work for your product (do you have the users).
  2. Gather the list of the top 5% of users in a list.
  3. Create a section of your site for these discussions – a community plugin or forum.
  4. Send invites of to this list of top users without an incentive to start, then incentivize if nothing happens.
  5. Tag your current users with what other tools they may use.
  6. As your power users come up with new creative uses, send those back out to you users with the tags which relate to the new use case requirements (i.e. a specific software and/or industry).



  1. Not only does it drive featuring product implementation into the future but it also drives the adoption and usage of those best practices in those systems. So it really is fundamental to the Future the growth of a Company Success its availability and it’s adoption its adoption. It’s adoption 90% on recessional.
  2. Alright, so today is another installment of a mastermind discussion where we choose a relevant topic or pain Point brought up in our private slack Channel and a few of us get online to record our suggestions. Our answers are input and hopefully come up with some really valuable content for the audience.
  3. So today’s topic is democratizing. In your app and your sass product using coaching networks and productized best practices. So what does that really mean? Well, it means a few things but it means creating coaching networks within your user base. So forums marketplaces ways for your users to feedback in best practices and some UI it means looking at your best users the users.
  4. Not not just. Been around the longest but those users that are using your product in the best most interesting ways and then rolling all of that back up into your product in the form of enhancements. Not just features not just, you know adding a widget or adding a tool. But really adding that entire use case back into your product in some form or fashion to allow other users to take advantage of those best practices.
  5. So that’s what we’re discussing today with me. I have Zack and Matt everyone knows me. I’m the founder of automated data area for everyone who’s listening to this. But Zach, why don’t you go ahead and introduce yourself? I am Zachary schaeffler. I am the co-founder and CTO of colitis, which I recently exited from and right now I’m doing some overall business Consulting with several strategic Partners.
  6. All right, and Matt I am the founder and CEO of get chip We help provide automated customer support and user-driven feedback right back to our. Awesome. Awesome guys. Well welcome and I invited specifically Zack here because that can I work together a long time ago and Zach has an amazing brain on his shoulders and he’s been involved in just about every aspect of.
  7. Different builds and all sorts of projects and he’s got some really interesting stuff that we’re going to go over and Matt, of course get you bought the stuff that you guys are doing there. And the way you’ve built your product highly relevant in the stuff that we’re going to talk about today. So I’m very thankful.
  8. Happy to discuss this with both of you. This is going to be great. Now. Who is this discussion for who should be listening? Everybody should be listening that’s in the text face, but it’s probably most relevant to SAS. With multiple users who are experiencing a lot of success with the application.
  9. So you do have that requirement of having user base that is successful and you know have a few of those satisfied customers. So sass Founders was satisfied customers would be perfect listeners for this. Now. Let’s first proposed the question to get this topic started. So can we and should we.
  10. Reincorporate the best practices the learnings from our users back into our software. Let’s just start there as is this a good practice who wants to start I’ll start short answer is yes oftentimes. You’re going to come up with an idea. But that idea and the value that you think is based on your perspective getting your sort of top five top ten.
  11. Most product users productive users are is going to help drive you and say hmmm. What’s making them tick? Why are they using it a lot? It makes you ask different questions. Like what? What are they actually solving a pain point? If so, let’s let’s talk about that. Let’s see. Let’s see how they’re hacking our product to.
  12. To fit their best needs that provide value and then capturing that and bring it back to the other, you know other users who aren’t aware of it that can go back in the marketing, right? It could be backed into figuring out what signal what’s going on what triggers your users who eventually buy your product because maybe they just didn’t understand a certain problem that.
  13. that they understood what your thoughts are. I completely agree Matt. You know, it’s very interesting because core of the user feedback loop in any product SAS or non SAS is one of the most important aspects to the growth of that particular product. Not only does it drive featuring product implementation into the future.
  14. And also Drive the adoption and usage of those best practices in those systems. So it really is fundamental to the Future the growth of a company and its success its availability and it’s adoption completely agree. I agree as well. So I think we’re all in agreement that yes, it’s it’s a necessity for product growth a so that’s Gathering the data user data making sure that you’re taking action on that data.
  15. So it’s a it’s a it’s a product necessity to capture and use that data. Now if we can snowball that into the potential. Issues that you could foresee by asking your users to publicly take their best practice how you use our product and this is more on the creative side of things and a very good analogy for this is our sorry very good specific use case of this is in.
  16. Marketing automation, obviously when you take a flow that you’ve built in zapier or blender one of these flow Builders and blenders a pier then take the flow that you’ve built and turn it into a product and I think the Integra mats of the world. And the Phantom Buster’s of the world do this really well zapier starting to do it better and better but it’s now turning it into.
  17. Okay. Well, we’ll our best users and those people that have created really interesting use cases for our product be okay with reinterpreting that back into the product for potential competitors of theirs to use and have the ability to take advantage of so, what are your thoughts on that map? Well, not every company is going to even have the opportunity to have that data even publicly, right?
  18. It just so happens my product. It does have a mechanism to make everything public but that’s that’s really an edge case. A lot of companies are sort of ingesting it themselves keeping within the Silo and then figuring out what to do outbound. It I think it’s very difficult for companies to put in the public because again with it your data is actually valuable so that actually you don’t that’s almost like a trade secrets like oh you have this collection of data.
  19. It’s giving you these inside. Why would I want to give that away but if you are a company who is able to maybe you’re in a maybe you’re sort of like a hybrid model where you have your free product. It’s all open data and. Other companies can take advantage of the data. I think that. Helps validate the company’s Mission faster because you get to see not only real users use a data in the open whatever functionality is or whatever the product is, but you also see how your competitors hack you and that gives you faster Direction on well, where is the market heading?
  20. It almost gives you like a almost like as an advantage? The sea like at a 10,000 feet above what are my users and one of my competitors doing at the same exact time? But again, it’s not a it’s not a common practice because that data is very valuable. And if you’re not you’re not really aware of what your where your vision is, and you don’t know what to do with your data.
  21. You’re not going to keep it not going to have it open at all.  Got it. I like a lot of things. You said. There’s a Kenny anything to follow up with. Yeah, that was very insightful Matt. Thank you. It’s quite interesting. Let me draw a parallel from some of my own recent experience. So in building a social platform where Commerce is enabled in that platform, we experience the very interesting phenomena during the very early adoption of users.
  22. What happened was users growth Hack That platform and of course, we were collecting data and information, but those seem users begin activating their networks outside of whole honest. To drive traffic to their own profiles their own products that they were publishing and a lot of these users started publishing products, which were actually interactive training sessions on how to use the functions and features within the platform to better Implement Network growth e-commerce sales Etc.
  23. So it’s interesting because these siloed applications are pretty much Gathering data from an individual user and their interactions with that software. But non siloed applications that are oriented towards Network growth, really?
  24. Man lost Zack there. Okay, I wasn’t sure if I was the only one to experience that. Now we’ll give him a sack and you know, I’ll trim this out but let’s go with until he comes back. Let’s go with you know, your interpretation of what this means and I’ll caveat that with I think you know, I think it’s important to keep relating this back to to the coaching Network itself, right?
  25. So to productizing the actual coaching Network, right? So, you know companies do this in a number of different ways. Some companies will just put the form up and say hey, there’s a feedback forum and you can possibly get your questions answered and they do this more to kind of offload the customer success job.
  26. They don’t productize it right and then other companies will say, okay. Well, I’m more going to publish a bunch of use cases, but that’s more of a marketing driven agenda to say hey, we’re going to publish a really good brand. Use case and that’s just mainly saying that hey they use our product and these are the results that they’ve gotten but they don’t connect the dots on how that company that uses their product actually gain those results.
  27. How did they use it? What was the actual? What what did it look like? How was it installed on their site? What was the messaging that they pushed during those interactions? What what connections do they have to the tool? What was the backend? How did that look right they didn’t really, you know, they don’t really go deep into that.
  28. It just say hey, they use our product and here are the results for the previous example. Here’s a forum on where you can go to ask other users questions. Maybe they’ll answer. Maybe not but then there’s an FAQ use searchable fa Q’s database right below that so I think it usually falls into those two.
  29. But how do we kind of look at this as a coaching Network? And how does that become a product right eye. Well one and I’m not quite sure if coaching is the right term. I think Zack really made a real guy’s a good term, which is hello. Hey, sorry about that. Yeah, no worries. We just snowball back to the premise of creating the coaching Network and I mentioned the term coaching network based on that podcast that we all listen to that was that was the founder of superhuman that was talking about these coaching networks and what I mentioned to Matt just now he’s about to answer is basically.
  30. What my interpretation and what I see happening is companies will either say okay. Well, we’re going to create a forum that offload some of the burden of customer success that allows our users to ask other users for answers to their questions and users helping users type thing and maybe they do this in the Facebook group.
  31. Maybe they do this on their website in a form setting and then if they can’t get their answers, there’s an FAQ section and if you can’t get your answers there. There’s a chat maybe a customer support phone calls. The most ass companies will do that. And then on the marketing side, they wrap up use cases main use cases a big brands that use your product in the form of I’m sorry taste studies not use cases and then they push those out to non-users to try to convert them to users.
  32. And in those two Realms. They’re still missing the connection between. Okay. Well, how do the best people that use? This product actually use the product with success and that’s not just saying, you know, we use it towards this audience. But we’re we want to use it or sorry. We want to know and productize exactly how the setup looked exactly what the messaging was.
  33. You know, we’re there any connections. Were there any other tools involved? How do you kind of wrap all that up into a product and that was about. Mention his interpretation of that. Thank you back to you Matt. Yeah, just to the anzacs point about like story like the growth hacking perspective.
  34. It’s either you’re going to have a strategy where you build virality into your product and you have the ability to grow pack or you don’t right and the Situation’s you mentioned where you have some companies that have you know, they sort of they sort of piecemeal together after the fact. Um, they’re not going to get the kind of value that maybe another company would have if they plan that or at least prepared for that right from the beginning creating those brand creating those brand ambassador networks through your product where brand ambassadors can act as your customer support and that feedback loop as a company get to observe that think of it like you’re you’re in Starbucks and you hear really deeply.
  35. Conversation maybe for you. It’s a something about automated marketing. You’re going to listen into that. That’s what a company gains when they have this feedback loop you’re talking about. I’m not quite sure I would call it coaching because it’s because from the users end and point and the businesses there.
  36. No one’s coaching anyone. It’s more or less. Just hey, here’s how you can you just differently and the your so much value you get out of it and when the company’s listening and saying I agree right and they build a product next week. The support that conversation you just not only reinforce the existing brand ambassador, but you just gained another one and you have this force to be reckoned with.
  37. Yep. Yep, and Zack before you got cut off their you had a couple things to say about how honest is use case and what that taught you. Yeah, so in building whole honest, we really experience this interesting phenomenon because they’re so many different ways to utilize the functionality. Early adopted users who experienced success in using that functionality would actually promote themselves into the network as well as their own networks on other platforms on how to use the functionality.
  38. Thus promoting the brand some of them even created products offering their services at let’s say an hourly rate. To train other users how to utilize that that functionality so it really became this phenomena where the brand. Was not necessarily in the middle. It was user to user peer-to-peer communication recognition a recommendation as well as growth hacking in a system that had a lot of flexibility depending on the on the platform’s model whether it’s ass or not, really I think dictate some of that but it’s an extraordinarily powerful mechanism.
  39. And just to wrap it up into a couple. Key scenarios. I mean, I think the biggest one that anyone who has used HubSpot. As witness is HubSpot productized from the very beginning. They productized cos right the ability to code up these HubSpot landing pages and the customization of a code a framework that really kept them on a different level in terms of how they were able to monetize and productize their coaching Network, right?
  40. So what they did is they essentially put it back out there to say. You know anyone that wants to have access to new builds of HubSpot or we have this cos code you can learn it. It’s not difficult. But that is going to be the framework and anybody that uses HubSpot landing pages and Integrations there.
  41. They’ll have to use someone from this network or learn at themselves. If they want to customize those and what that created was a whole alternative Revenue stream, but also really, you know, sticky factor to HubSpot where if you did go down this route and you wanted to use HubSpot fully you would have to access that coaching.
  42. It was good in the sense that you got a lot of best practices because those coaches were helping other businesses those developers the CE OS developers. They were helping other businesses build out their systems, but it’s you know, it’s definitely not an easy thing and it’s definitely takes you down a different route as a product, you know going away from whether it’s in that specific example going away from open source and going away from ease of use to making it.
  43. Whole Revenue generation, so I wouldn’t highlight that as a recommended example or a positive example, but I would wreck I would highlight that as a very big example of this in practice and then another smaller more lightweight example is I think landing page Builders like unbounce leadpages, they’ll take Brands landing pages that they’ve built an unbalanced and as long as they have their their sign off.
  44. They put them back out to the marketplace so I can go and grab certain brands landing page templates that they’ve built and they’ve used with success. So that’s another lightweight example, but I’ll put that back out there just to make sure everyone’s on the same page of how this works in practice and I think Matt really important and this is also again why I wanted you on is because you thought about this from the gate with.
  45. Chip bot and how you guys built chip bod and taking all of the learnings all of the best practices all of the data involved in all of the user interactions and putting that into the product as the central component of the product. Maybe you can touch on just real quickly how that works and that helps people understand what we’re talking about.
  46. Well, you mentioned let me ask for clarification. You mentioned a couple of things either they open source tool and being able to use it and then being able to actually work on work on your goals without knowing how to code after maybe installation. So what what do you mean? What kind of clarification are you looking for?
  47. Well, it just helps people kind of paint a picture. So, you know if I’m listening in on this episode I’m saying. Okay. Well. You know, what? Does this really look like in practice? I’ll show some examples but I think you know, I’ll show this a peers that beers Community examples of how those flows get built by Cole.
  48. Okay, so like the feedback loop flow. They’re kind of yeah their feedback their the clothes interpretations of what we’re really discussing which is that productized version of crowdsource best practice that you write and the HubSpot example, it is a slightly different example, it is an edge case because they they went the revenue driving.
  49. They actually monetized that Revenue stream of cos development and customization in the marketplace, which is a little bit different but what you did at tip Bott I. As you know both really amazing, but also just perfect for this type of discussion, but can you touch on just maybe how chatbot operates and then that will help people understand what?
  50. Yeah. No. No, that’s very clear. So Chip I operates in a way where instead of the business owner or the website operator figuring out what your users want. It works the other way around where users can ask you two questions directly. And as a business owner, you get notified with an email or some type of message saying hey, here’s what your users ask for similar to actually how life chat works, but the differences the business owner can answer that and ship it right back into the product.
  51. So someone else. Can actually observe this sort of question and answer Behavior similar to like Korra or if your technical stack Overflow and over time you build a repository of questions and answers of users all a all around the world using your product and I think that is. At least one approach to sort of get that meaningful data and it’s sort of decentralized right you or not the one figuring out what your users want.
  52. Your users are telling you and the different approach to at least how the marketplace is doing which is like they’re trying to use Ai and machine learning to help anticipate what users want. I think there’s a much I think there’s a better. Place for AI in ml if you have the inputs coming from the mouths of users themselves and you can use Ai and ml to sort of analyze that better to give you better decision-making and put it back into the product.
  53. Yeah, and without going into too much detail Zach. I think you’re you know, you’ve got some really Keen Insight on this but but interpret what we’re talking about here and that’s best of away. You can how that could operate from an AI in an ml perspective. Just saying, you know what hypothetically you do have this user data flowing in.
  54. You know, how can that how can that look from from internal AI am l? Perspective sure. It’s an interesting analogy that you draw with HubSpot because I remember when Salesforce bought the Apex language, which is extraordinarily complex was something that they try to monetize as well much like HubSpot.
  55. Not to dwell on it too long, but there’s a danger to that right because you can lock yourselves into a particular vendor language rather than you know, being able to spread across ecosystem. So it’s very interesting, but that could be a whole other conversation. You know Ai and ml artificial intelligence machine learning.
  56. These are terms which are really thrown about very easily but it’s very difficult to understand how they can be applied. Generally. There are some great tools out there in the Google cloud has become very Advanced recently. They are probably the preeminent leaders in that. Those cloud-based Technologies available to any application.
  57. It’s really how you envision the dimensions of the data that you’re collecting. You have to think about a strategy for AI in ml. You can just randomly collect data and try and fur patterns from that data and that’s one way to tackle it but implementing it in a very specific Manner and stacking the information that you’re looking for and learning from that information.
  58. And providing a pathway for users to access the ability to provide that information as well. I’ll give you an example, you know in the in the ux world when you’re planning a particular product feature or even planning out a whole new platform. You really think about the customer Journey or the user Journey.
  59. How are they accessing your product signing up to your. Thus using the product providing feedback to the product. It’s a very important aspect during even that ux phase in planning product features and getting user feedback to begin applying any eye and ml within those flows. And again, it’s not like you can see the future know exactly what you need to implement out of the gate but being able to experiment and being able to be flexible with these Technologies and insert them in various instances within user Journey.
  60. Is eventually invariably going to supply a level of feedback and insight that becomes very powerful.  I would like to add one know when the two different approaches of sort of implement a i if your startup and you’re not funded or at least have significant resources to handle the the challenges of a I often times.
  61. You have to resort to the next best alternative, which is you do have to collect data everything and just sort of not. Really focus on what to do with it yet. And then when you do have the resources you can retroactively look at it and apply any IML strategy when you do either raise money or have the time to spend that effort into those Technologies and build like a learning model because not every company has a luxury to say let’s let’s spend four to six weeks and a discovery phase on.
  62. Hmm. How were the models are gonna look like? What’s the what’s the convolutions? Why are the false false positives? I think it’s a very challenging aspect at least for startups. Yeah. I think you touched on something super important. So we’re talking to a group of people that have have a prebuilt product.
  63. They don’t have the capacity in the bandwidth and finances to go back through and add that data capture layer and Analysis the feed that. Programmatically back into the system. What would we suggest more than anything to say? Okay. Well, if you do not have that how can you create these democratized productivity layers within your tool within your ecosystem.
  64. I called a coaching networks, but that’s up for debate. But these productized best practices right without the machine learning layer. How can we. Kind of get that back into a system. So I mean, I think I mentioned a couple key steps and and some ways that our Founders and our audience out there can do more than what is typical and what what is typical is maybe an FAQ page maybe inhale help center Power by intercom or what?
  65. Have you using chip? Bob is a great. Verse first step to add that layer of just automating the actual chat experience and making sure that they’re getting those fa Q’s that could be crowdsourced but getting those those questions answered. That’s a great next step. I think you know, I think it’s important.
  66. Capture and list out those users that are experiencing really solid benefits of your product and using it in Creative interesting ways. So creating that list of who those people are and making sure you are monitoring your keeping in touch with those people you’re creating that really really good feedback system between you and those users but the Step Above That is putting it back on those users to say hey, You know, we see you’re using the product like this.
  67. We love to share that with the community. We’d love to put that into our system and our product in some way shape or form. Would you be open to a community a forum a coaching network if you will and being accessible or at least making that use case accessible to our other users? And whether you ask him or you don’t that’s that’s again Up For Debate, but what would you say are some key next steps to getting this kind of put into practice.
  68. If you don’t have the bandwidth to go back and add a machine learning layer to your product. I think you’re a touchdown in a little bit is its using tools that are currently accessible to that right now. So for example, you’re collecting newsletters. Well, you can also track over time What that particular user does I give you a really good example medium tracks you if you’re not if you’re not using medium they track you over time to see how many articles you read and they slowly over time build up a case.
  69. I think one of the interstitial modal’s is hey, let’s tie the knot you’ve read 16 articles and you spend this much time reading it sign up. And once they capture that information they can figure out what the next step is and they it’s very simple as it’s it’s a little of I don’t know if there’s actual at least I’m not aware of any tools that you could use to say like here’s some simple tracking.
  70. I’m sure they exist but you can take that and tap into your MailChimp mailing list and like okay. This user was an anonymous email. Let’s move on to the next list of. Anonymous email who’s read over 10 articles and then you can then give a different message to them and ask for direct feedback through emails that I could see that as a easily being a good next step for marketers or business owners to sort of Leverage behavior and then try to get makeup feedback loop out of.
  71. Okay, so that’s event-driven, you know event analysis layer, you know, there’s many tools out there that are accessible and most of our users have some level of event attribution going on tying that back into the products of gamifying the experience and you know, if we can kind of go A step above that and saying, okay.
  72. Well, you know if your app is. In a process, you know, like a marketing automation is the best example that I can think of obviously relates to my business, but you know, you can extrapolate this into whatever the product that you use or that you’re you’re considering but. You know if your users are using this in a specific way for a specific flow and maybe even incorporating other tools and other products and you find out about that whether it’s through a customer success conversation or through an email that they send in saying hey, I love it.
  73. I just used it to do this works. Great blah blah blah, you know, making sure that that feedback system is productized the best way I can think of and Zack I’ll put it back to you to kind of wrap us up here, but. You know creating that that Forum but also, you know making it a part of the product, you know, and the landing page example that I mentioned earlier where the landing page Builders are taking the landing pages that are being used by certain companies rolling those back into the marketplace.
  74. And hey this company used it these this was the success here grab it like actually click on it. And put that into practice in your company today. That’s the easiest but you know our goal I think is to mention what this is and really get the wheels turning for the audience and get them thinking about it so that they can then decide how it works in their business, but I think we touched on a number of examples but Zack I’m sure you’ve got some things to say.
  75. So what would you say? To the founders that want to start maybe implementing some of the stuff that we just talked about and getting more than just an FAQ page and a help center on in their. Well first, I mean it’s difficult for you know, bootstrap Founders to really especially if you have a lack of resources and are just starting out and it’s difficult for bootstrap Founders to implement everything that they need for these feedback loops.
  76. Obviously, you have to evolve into that but I think that coming right out of the gate in today’s day and world. It’s mandatory. To build these experiences into your product to ensure that you have a chance success, right and and Matt had a very great example how medium presents that interstitial ad a certain number of Articles, you know, there’s product experiences and Amazon’s a perfect example that you also have the coup in and others.
  77. There’s product examples where. They know and can track, you know, what type of products where it was bought what type of interaction you had with the company that ship to that product what your experience was like and begin recommending rewarding gamifying offering those experiences at very specific.
  78. That seemed e-commerce event-driven methodology can be applied to almost any other system and you can start off with one simple interstitial, you know, or maybe start off with five simple interstitial. So I think there’s some very powerful mechanisms that can be put in place. By realizing that they’re available to you and that there’s there’s a starting point and there’s a way to begin collecting that data and I also want to comment earlier.
  79. I think I was cut off before but Matt made another very very interesting point, you know with the availability of AI and ml out there today. It is very important to begin collecting data. Whatever it is, right, even if you just implemented some some rudimentary Google analytics integration, you know past that back everything that you get past that back Collective because the historical nature really begins to prove and infer those inflection points that allow productization to happen within an application.
  80. I’ll wrap it up like this so I think. You know, I think we have a few things here and I would love somebody listening to let me know if they do this now or if they know someone who does this but applying the event analytics applying gamification feedback loop. With diverting people into the specific groups that of other users that use the product in their vertical in their industry and creating those may be many coaching networks within your app.
  81. So, you know, so instead of just saying maybe in the onboarding process go here set this up like this and hope here some here some copy that we recommend right some placeholder text and that’s based on. You know, they’re their data internally of what other users are doing more than that and saying okay as you use the express use the product and as you go through building a out the product and different use cases, once you trigger certain events and once the system and maybe it’s CRM based plus event analytics, but once the system knows that you’re in this vertical and you’re starting to use it for this purpose.
  82. Maybe the system alerts you that there is a coaching network of other businesses that use chip pop right for that specific vertical and hey, here’s a link into that chat group or that form or that specific coaching Network wherever it exists and you know, let them know that hey there’s some help there for you.
  83. That could be a really low level kind of way of putting this into practice and then on the product side. Going and taking the very very best use cases out of those coaching networks and putting those into practice as plug-in playbills. Right? So, you know as the founder you have to make this decision, but imagine you could choose to.
  84. Have almost like a one click setup of your app for a specific industry based on a specific use case of someone else in that industry. So there’s pros and cons to doing stuff like that. But I would love to hear from anyone that knows of a specific use case or if you mat or use that know of anything specifically around that context that’s going on now, you know, feel free to mention it.
  85. I’ll link to it in the note. And we can give people some really good actionable advice on maybe how to implement this.  So I’m going to guess. Yeah, for sure. That’s all right any last comments? No, I meant thanks for having having me on pleasure to really talk about this. At least for your audience.
  86. Feel free to just mention me either most LinkedIn or through the slack Channel any particular questions would love not only to hear the follow-up comments that you mentioned Alex but I want to hear what marketers are thinking or what other business owners are thinking of of how they’re what they’re doing the data.
  87. I think a lot of people don’t have the resource to talk with someone technical at this kind of level and I think we can create a really good conversation on. What are the next steps based on my situation? Yeah, yeah, so call to action for anybody. Just leave a comment the notes call Matt out will link to his profile and obviously can tag them in a comment if you want to ask Matt specifically.
  88. And give us your feedback and then Zach any any last words, they’re sure first of all, thank you for inviting me. It was a pleasure. Matt is great meeting you and chatting with you. I’m sure we’ll have many more chats in the future. Like I think this warrants a follow-up discussion. So yeah, let’s gather some comments.
  89. Let’s gather some feedback. We’ll see what the crowd thinks if everybody likes it. They want us back for another one will come up with a follow-up to this and they’ll do it again. So thanks a lot guys. It’s been great. Oh, thank you. Take care guys. Bye see ya 90% longer.