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welcome everyone to the customer lifecycle management webinar today we're gonna be talking about life cycle strategies of the customer journey and joining us today are myself from clever tap and Daniel from adjust so I'm Cara dake I'm the VP of growth and partnerships at clever tap I specialize in mobile user engagement and retention I have a background in growth marketing partnerships as dev in finance I'm an active supporter of the technology ecosystem and advocate for women in mobile and digital and I'm a member of the global panels and partnerships committee of embolden which is an organization dedicated to connecting and empowering female leaders throughout the industry hi guys I'm Daniel oh I'm a part of marketing manager here at adjust throughout my career I've worked mostly with b2b SAS companies so a lot of my career has been trying to leverage the data behind the marketing of these products and also trying to create good stories around them so that they're better position and engaging within the market I've worked as a market research analyst a Content marketer and partner marker throughout my career and you know the core the core thing that ties all that together is just really my my interest and passion in trying to create good stories behind these products that can be very technical and abstract on the surface but are very compelling what you get to do to the bones of them so really happy to be a part of this webinar and thanks so today's agenda so we're going to first introduce the kind of the intricacies of life cycle and really go into the weeds as to why it's not just a point A to point B think that it's a very intricate thing that requires a little bit more more strategy and thinking behind it or to leverage better for your for your marketing campaigns and for the overall growth of your business then we're going to understand a complete picture of strategies against the civic life cycle stages including industry benchmarks to compare to as well as case studies to kind of give you a better view of how different businesses are approaching life cycle and using that to create better ROI TV we're also going to look at retention what these benchmarks are for certain verticals and also the importance of tracking uninstall and reinstall especially when it comes to creating campaigns to both raise retention and to lower churn we're gonna look at the average turn race for these verticals one day and one week after the and then we're going to talk about the potential of these retargeting users from a revenue perspective and a little bit about clever tap and what we're up to we help marketing products and growth teams at b2c companies optimize their customer experiences at scale so how we do that with at scale in real time is with our unified user data platform we provide actual insights and segmentation of your users and then from there we offer a number of omni-channel engagement features like push notifications in-app messaging etc to help you create personalized messages in in real-time to your customers and here's some of our highlights of our our customers here here for you to view alright so adjust we're a mobile measurement platform we're we're focused on trying to put your entire marketing funnel into one unified platform that starts with our core product of attribution we tie the users to the ads that they interact with and that gives you better visibility into which campaigns and which partners are giving you the most ROI and you know actually following through on the promises of growth we buttress that both by giving you unlimited data access and great analytics and reporting both are very important to first inform the Mobile marketer into which channels and which campaigns are not are just performing but also into the post events and figuring out where the user is and that certain part of the lifecycle and trying to inform other parts of the experience based on that data and this data can be you know shown both in a aggregated form through our dashboard it can be fed directly into your bi through callbacks or it can be be through CSV export your preferred cloud cloud storage providers such as s3 or Google Cloud Storage on top of that we also have an ad for our protection suite we call it the just FPS fraud prevention suite this is something that every MMP has because fraud is best fought at the point of attribution our fraud prevention suite we we believe it's one of the best out there in the market meets fully preventive and we built it with the aim of trying to take the the pain point of dealing with ad fraud out of the hands of the mobile marketer and really just try to shield the mobile marketer from any type of clawbacks or refunds or making decisions based off of bad data just removing all of that so that the mobile market can just focus on the core part of this job which is growth and we also have another product that's just very very relevant to the topic that we're talking about today which our audience builder product we have this product which makes in-house audience building very easy instead of making it multi department you know hurdle where you have to get engineers to give you device ideas and figure out the parameters which all these devices like these fall under and then sending that to the network which can be a week long process depending on how many stakeholders there's involved with the audience filler you just set up parameters the device IDs are already then collated you send that via dynamic URL to the partner and that's it it's a so once to our process that makes honest building a segmentation really easy and on top of that like all of our other features it's a completely gdpr deep privacy compliant something that we take very seriously here at ajust especially as we are a German company and we built data privacy and data security into the DNA of all of our products so now that you have a good idea of both what climber's happen it just do let's go right into it so the one thing that we want to to establish right now is that the user lifecycle is complex it's not point A to point B it's not ad impression and click into installed there are so many other stages within the user lifecycle that you have to consider especially when it comes to retention and churn which we'll go into later as you can see it through this diagram here you know the point of is actually really the first stage of that life cycle where there other engagements there could be uninstalls involved and then been subsequent reinstalls if there's at any point a user having the app installed but not interacting with it and then there are campaigns to bring them back into the fold that can be considered react tribution and there's other conversions that could be unique to your app depending on you know different events such as you know if your ecommerce up you know in-app purchase if you're a gaming app if the user reaches level 10 or 20 which by that time Kim you know saw the stickiness if you're a travel app you know other types of purchases or other types of engagements as well so looking at ruses retention these are kind of the five things you should ask yourself every time you want to just get a handle on retention first is what is my retention and does it differ by user segment basically it's really important to understand what the average retention rate is for your app and when you break your users down into specific cohorts you can find exactly what when they give up on your app and start to identify what what exactly is that's making them leave the easiest way to do that is to measure retention quickly buddy and that is by using the acquisition cohorts so basically just taking a look at when these users come into your app and seeing like a within a 30 day or 15 day or 7 day period however when you want to define it and just trying to figure out you know when when the drop-off actually happens so you got to first establish that before you can even think about other ways to improve retention second question are there trends to my retention metrics basically you have to see where the retention is going you have to see the patterns and really get a handle on those it's better to build separate retention curves for each cohort as I recommended before to use cohorts to even get a handle on your initial retention that way you can identify overall trends in your retention process so that you get a more granular view into the actual retention process based on these different cohorts and based on these different segments third question of what features actually drive my wreck tension so recession is all about getting users back to the app so it's really important that we kind of make this this distinction right away pretension does not necessarily equal engagement retention is all about users coming back on a regular basis it's not a targeted you know it's not a targeted engagement point to drive them back it's the users actually coming back of their own will so you have to figure out exactly what it is about your app that brings them back if it's a if it's a game it can be some type of you know the actual core of the game that makes it sticky and makes people engage the one wanting to continue developing their their their characters or their levels I know one one example for instance uh with candy crush they have these daily rewards so if you sign in you get better and better rewards and that encourages customers to just get these you know power-ups so that they can breeze through the levels and not get stuck so that's one way to you know define a feature that's specifically built to drive our attention and keep users engaged fourth question on what behaviors lead to user retention basically you have to find out why these users are staying in your app or turning out and you have to find out which specific behaviors these individual users take and see how those affect retention of other of these users over time you can do these through behave your cohorts so instead of looking at all your new users you can look at all your news you new users who perform a specific action or set of actions and see how that's correlated with their retention so with these behavioral cohorts you can look for these features that bring users back to your app time and time again and finally when it comes to predicting long-term retention you have to look at the relationship between certain user actions and retention that you can then identify as the main behaviors and actions that are correlated with long-term use what an example that we can use is how Netflix figured out how many episodes of a show that the average user would need to watch before they became hooked these two examples for instance Breaking Bad you know everyone knows that amazing show it tooks just two episodes for the average user to get hooked this is to the tune of 70 percent of average Netflix users so if you're you know within that 70 percent you watch episodes 1 & 2 if you've never seen Breaking Bad before then there's a great chance that you'll just continue it throughout the entire series for a different serious such as How I Met Your Mother it can take up to 8 episodes for the average watcher to become hooked and become invested in the show and start watching from beginning to end so this is just an example to help you flesh out ideas or different ways to measure how long-term retention actually starts holding and stickiness it actually started stablished with your average user great so now we're gonna dive into some specific strategies in the media and travel verticals so these are examples and benchmark industry data so they are applicable to these two industries but want to note that they they may also be applicable to two other verticals that your apps are in as well so just take note of that as we're giving examples so first we're going to go into media OTT over the top basically as a description of a media type and that includes it's like you know television and entertainment and we're going to talk a little bit about what's happening in this industry in terms of how you can push people and along the customer lifecycle journey a couple of stats here from the close to 100-plus streaming services in the US alone in this media ecosystem it's a market that's showing a compound compound annual growth rate of 17% incremental growth of 64 billion and seeing a number of 20 billion smart devices in 2020 in this industry so definitely rapidly growing and one that so we feel is is really important to touch on today so we'd like to talk about these moments in time where you can really move your customer along and they're different and the experience they're having in the app they're critical micro-moments and we pulled out some of the key micro moments within the media and OTT industries so first here looking at searching one would be able to search by say a director or browse by a genre say in Netflix as Daniel was mentioning to find that that Breaking Bad that should that show that's a key micro moment where you can do it employ a number of strategies to continue them in that process also discovering so finding trailers and other types of content recommendations viewing content there's different you know length of viewing types of viewers that you can in segments of users that you can bucket into different groups depending on their different you know viewing habits and then social sharing this would be a way to drive further adoption and additional viewing types so these are just a couple of the micro moments that you can start to look at and we find that you know really the user onboarding process is is huge it's it's important for every single you know type of app in every industry of course and where we usually see the most drop off post download is within the user onboarding so with a great user onboarding experience you can actually improve your user adoption by seven times so this is where we're gonna talk a little bit here about some strategies and how you can improve that user onboarding experience so there's a number of user onboarding benchmarks and we pulled this again from our specific report and those stats I gave you before and so we're concluding these are industry benchmarks due to the size and scale of the data that we were able to analyze and we see that just to give you some you know an idea of a range as you're looking into your own app we see that 78% of new users are registering within a week of installing the app and so it's really just looking to to see what percentage of users are installing the app to create an account and here you want to closely monitor the to registration to optimize the user onboarding process and then second industry benchmark here is it takes eight minutes on average for a new user to register after first launching their app so this is a really good indicator of the value a new user is seeing in your app based on that that length of time and of course that's something you'd want to want to optimize with a good user experience so some of our clever tips here are to greet your users with a welcome message on that first app launch you want to nudge your users to register by an in-app message that focuses on subscription benefits or popular content that's of course a really important part of any user experience and really highlighting the value proposition of your app right away and then of course having a brief product tour that covers what's happening inside the app to give them highlights before they move further in the in the the process is also a big driver for improving not user onboarding experience personalizing the content that they're going to receive is is something that our platform can can help you all do and and it's really becoming super data-driven at this point where you're able to segment your users and identify specific types of content that are relevant to your users so this is something that you of course want to do and isn't is very tailored in the in the media industry as well great so now touching back into more industry benchmarks around the user onboarding experience which of course is is key we're seeing in an media that 20% 26% of new users are engaging with media at least three times in the first month so this is something again to see where you line up against this and 72 hours are spent on average for users to play media three times and move to the next engagement paid phase so these are really you know specific phases to look at and benchmark your your interaction against and see how often your users are acting with your content and how frequently this is happening so clutter tips here ask your users about their favorite genres and categories to start delivering a personalized experience before you have any real information you can start to just ask you ask them and they'll they'll let you know and then from there you'll be able to see what content they're actually engaging with and then based on their psychographic and demographic data you want to make recommendations of other types of content that are useful for them based on their own browsing and interaction data as well as as I mentioned the other segments and data that data around the segments that they also fall into and then you'd want to prompt your users for to opt-in for push notifications to increase reach ability this is really a key engagement strategy that we see is the most often the most effective and widely use so optimizing for them receiving as push notifications is a huge driver for engagement another key strategy here is to keep your users engaged is to keep is to convert your freemium Watchers into premium subscribers so just noting that if this is something that you are employing with your with your media app that we'll get into here a couple ways to drive engagement to help you to do so alright and we're still on this user onboarding onboarding tip here as it's so important and we're seeing that on average in the industry 5% of users are on average click through to push push notifications that's the average click-through rate so not super high here so looking at there's a lot of opportunity to really improve that number and we see that 16 is the average number of app launches per user in a month so actually that's pretty high number if you think about it so there's a lot of opportunities to to really continue to to keep driving driving that number up and so a couple of our tips here are to nudge users to resume any amanda abandoned be media that they had last played to increase the content complete completion rates we also want to use in app notifications with content recommendations on app launch so that's really going to you know right right as they open up the app provide them with with ideas for what they might want to engage with based on their previous browsing and viewing history as well as demographic insight psychographic data and then finally want to facilitate new content discovery right so based on previews triggered on the app launch and so we have a number of features that can help you optimize what are the best campaign send times to do so and of course you want to use an omni-channel engagement campaign strategy to keep your users coming back for more so as I mentioned some of the engagement features that you'd want to look at our push notifications in-app messaging SMS email if you have a web experience you can utilize web pop-up and web push and then Facebook remarketing is another strategy we see is really strong so it's really about pulling the whole picture together for for your users in terms of engagement to drive retention as a part of this overall customer lifecycle management strategy that we're talking about ok and so now we're moving into actually the retention pieces and so we're seeing that 24% of the travel industry apps we're using have 24% is the average stickiness rate which is basically how many users are engaging how often users are engaging with a product or a feature so the higher your app stickiness quotient the more frequently your monthly active users are returning to your app so of course you'd really want to have that to be a high number so some ways to increase that in the media industry are by notifying your users of new releases and reminding them to resume unfinished content you can nudge your users to add content to their watch lists and then remind them of what items are have not been watched on that watchlist and then you can also incentivize your users to commit to longer subscriptions by offering discounted or access to exclusive content okay and so tackling churn so why are your users not engaging this is of course a huge issue and we see that 67% of users are turning within the first two weeks in the media industry so a lot of opportunity to improve in that as is the case across all verticals in the mobile app space but that's a number that I wanted to share it it's kind of give you an insight into you know comparison hena and how your app is performing so reasons for why one mate in an uninstaller churn can really vary of course it's UX and UI so working with your product team to determine where those drop offs why those drop buffs might be occurring of course functionality and performance of the app or our big so working with your technical team on that and then the engagement experiences just what we've been talking about previous to this and often where we see the most opportunity and you know it's really great because you've got tools like clever tap in and just that can help you identify where the performance of your engagement can can be improved so if your users have uninstalled there are points into how to get them to reinstall this is a really strong engage reengagement technique that we like to to note to let users let you guys know that you can can work towards and we have features that help you identify when users are uninstalling so going back to this in the media industry here we're seeing that within the first 30 days of the first app launch 35 percent on average of users are uninstalling and then 20 percent are there's the average reinstall rates within 30 days of app uninstall so actually that's a pretty significant number than an opportunity to see that there you know some of the users may have uninstalled but potentially like to do so again so ways that you can improve this these rates are to eliminate the friction points between your apps by tracking user behavior path analysis tools such as our clever tap flows features you can also win back users with time-sensitive targeted promotional offers and then request user feedback to understand the reason for uninstalled we see this to be really effective where you can actually you know send a user an email asking for it with a survey embedded in the email asking for for feedback on to why they uninstalled and this may actually drive them to to reinstall as well as give you that critical feedback to help improve your potentially feature performance as well as the UI and UX experience alright cool so I know we're going to peer into this but this is what we wanted to create an experience here for you guys on the webinar to be able to give you some really deep insights into these verticals and now I'd like to jump over into the travel sector which is another really interesting vertical one that's growing quite a bit we're seeing massive growth actually expected to be over a 1 billion in to 2022 mobile travel bookings have increased over 230 percent this was a little bit old data but we're continuing to see this growth and over 5% of all apps or travel apps so actually that's a pretty large number and we're seeing that it's a very aggressive marketplace for for market share so that's why we want to dig a little bit deeper here with you guys and help you get ahead of the curve and for this data just a note we analyzed 55 billion events and the performance on more than a billion devices in 2018 to pull together this data for you as well as our clever tips to help you optimize so going back to that user onboarding um period which is a time and timeline which is really important for you guys again wanted to note that due to the sheer number of travel apps available app based travel business as really have their work cut out for them when it comes to attracting and retaining users and so actually the average travel app loses 64% of its users after 30 days that number increases to 76 percent after 60 days and then after about three months that number has moved to 82 percent so this is again just you know noting some challenges as we know is across the board and here are some ways to optimize that onboarding experience so opt-in rates really signify this the percentage of users who have given you the permission to reach out to them via various channels as I've mentioned like in-app push email SMS etc we are seeing that 63% of first-time users for these marketing campaigns opt in to the experience and so ways to improve that are to welcome your new users with a personalized in-app message on the first launch you can also promote opt-ins by conveying the value notifications provide to users as we talked about before really it's showing them telling them why they would it would be optimal for them to experience the notifications especially in the travel industry as you can see how potentially useful and timely these notifications will be to their experience and then understand where your users are most active in your app to engage them at the right time so 18 minutes is the average time that new users take to log into the app so that number could definitely be optimized so you want to decrease that time to first login ways you can do so are to welcome users with email drips that guarantee your response you can also of course a be test your creative and both the in app and email welcome messages and then use social logins to reduce time to value and get to that when you'll also be able to pull in their detailed profile information which will help you optimize their the user segmentation and and other pieces of the app experience okay so ways to drive users to engage gonna mention these here and of course there's a lot more that you can look to in our travel report you can send offers and coupons to first-time users via SMS you can utilize their location and send personalized recommendations based on the specific region and language and timezone then they're in this is of course hyper important for a travel industry a travel experience and then also really seeing that's gonna optimize their experience by utilizing a deep link which was a link that's embedded into the channel that you've reached in whether it's a push notification or email and that will that deep link takes the user directly back into the page that they were on before the booking page for example versus having to navigate through all the different pages and I don't know about you but one I'm late for a flight I want to go right back into that page that I meant to to continue to check in for example versus going through all the other experiences so those are some ways to optimize the onboarding to engagement experience okay so click-through rates now these are rates that help measure the effectiveness of your marketing campaigns and help you understand if your messages are generating the response that you needed are they prompting users to open your app okay so we're seeing 8 around 8 percent average click-through rates for campaigns in the travel industry so ways to increase these numbers are defying the optimal day and time to engage with your users so we were able to see that these click-through rates are higher on messages sent between 8 and 11 p.m. people likely plan on planning out their travel for the next day or the next week because they're winding down their day definitely want to make your user feel valued and personalize the message based on you know the specific experience so we see when you mentioned someone's name you in a message if you you know mentioned something that they were one of their interests based on with their previous experience that's this is what you want you want to get to the most you know personalized customized experience as possible where it feels doesn't feel spammy also interesting is you can use an alert sound in your message which really in reef forces brand recalls so that's that's pretty cool though again this is like engaging them in their different senses and different ways to to feel as a part of this brand experience now cart abandonment rates pretty high and travel as people are likely you know browsing on different platforms to just to get the best experience and best pricing so a lot of opportunity to reduce this card abandon it and then and the ways you could do that are to analyze the different paths that users are taking inside your app to resolve any friction points that of course goes without saying and what we talked to talked about before and the product experience you also want to look to see what is this golden window of time to engage engage and bring back dropped off users this is something we look at a lot and similar to the micro moments we see that there are specific window time windows where where they're really critical where you can see that if you actually send them say a personalized message within that window of time say it's say you find an hour tool can help you find that what this time window is but say it's 15 minutes is really this time window that they're gonna you want to remember that you want to remind your users that they were about to make a purchase and if we if say you see 13 minutes of come by and they have engaged or completed their purchase at that point you could send them a personalized offer to drive them to do so so then you've got that you've identified that golden window and then sent them a custom offer and they will be much more likely to to to complete that activity so these are awesome really detailed but super important ways to to optimize this engagement experience now we're moving further into that life cycle stage we're moving from engagement to and retention and we're seeing that about 63 percent of users that have converted and use that are in the app will move to the retention stage so that's pretty powerful and some ways to do continue to drive users to retention or to learn about the user preferences and interests using psychographic segmentation so this goes beyond just demographic demographic segmentation but it's things you know more personal interest interest based profile information about a user you can understand what what categories are our popular to them that drive conversations and then focus on the users with the highest chance of being retained which you can put into a bucket called a potential loyalist user segment and finally some more ways to increase your user retention where we're seeing you know average stickiness rate of about 28% in this in the travel industry so opera opportunities to increase the SAPS ticket stickiness create user segments based on in-app behavior and create automatic campaigns that engage users who is about to drop off and then tell inactive users you miss them and inform them of new features by a personalized email ways to improve retention rates which we're seeing are close to 50 percent after 30 days in the travel industry which I mentioned when a man on monitor your trends use cohort analysis to compare different user groups and then tap into those omni-channel campaigns which I mentioned before to reach your users at the right channel at the right time we're seeing about 35% of users are turning in two weeks so really understanding what users are up to before they before they hundred uninstall your app and remind them of unexplored features or benefits of your app are ways to prevent that back to that uninstall you know scenarios that I talked about before in the media industry there's a pretty much pretty pretty much the same as I mentioned before if you want to go deeper into this you can check these out in our travel report great Thank You Kara those are some awesome tips definitely definitely very helpful and trying to head off churn and try to increase attention so before us right now we have three major verticals here your commerce entertainment and travel split across three of the major Gio's Europe North America and APEC and as you can see here turn is pretty much across the board we're gonna be around forty to forty to fifty percent within the first seven days for instance you see how ecommerce apps in Europe there you go from nineteen point nine eight percent of users are engaged within the first day but then comes in a seven at number just eleven point nine three and that's one of the better uh one of the better stats did you see it across here because if you look at how travel apps do in North America it goes from fourteen point five fourteen point five one percent on day one down to all the way to seven point four one percent with on day seven so that's more than a 50% churn rate and there's a lot of different factors that go into it that care also mentioned I mean it could be anything from a user installs a travel up in North America they just want to look up flights for their vacation or family trip or whatever and then once they actually get that flight booked there's no reason for them to come back to the yeah so there's this is a this is something that's you know across across all industries across all verticals and the stats here would gathered we're both on Android and iOS and we're gathered last year in q4 so so pretty recent numbers and it gives you a good idea of the issue that churn is it's not specific to any one vertical but it can be something that that can be fixed so if you look at the churn on average almost eighty percent of users have churned the day after the app and this is looking our looking at our numbers here and when it comes to seven days only twelve percent of users are still seen as active now there's a lot of different reasons why people why people churn and care you know did a great job of you know exploring all these different ways as to why app friction or certain app experiences drive users away from the app what we want to do here is we want to not just you know tell you an issue that you guys we already know looking at your dashboards also just tried to change the thinking around churn so churn isn't supposed to be a way of life or just something that has to be fixed on the product it can also be an opportunity to get these users back into the fold as you can see in the dark and the dark purple portion area of the graph turned users are you know by far the vast plurality of all the users that are that have gone through the app within your first 7 days and they don't have to stay turned they can be brought back through you know reengagement campaigns and through all these other engagements that Kara mentioned earlier now looking at the churn um if you choose turn do they ever come back the answer here is yes looking at our numbers here an estimated of 17 percent of turnt users do return to the app after a two-month break after 3 months it goes to almost 11 percent and after 6 month it goes down to 4 percent so there is a a rate of diminishing returns there but this is looking at you know the industry as a hold so this can be both users organically coming back based on my past example for instance like if you've downloaded a travel app you've got that trip and then you don't really have any reason to go back to it until you have another trip then that could be another one gang reason to come back if you're if you're a gaming app someone can pick it up for a week or two kind of get bored with it and then you know they might be stuck in a situation where they need a game that can play on airplane mode I mean this is something that I run into a lot with my own gaming apps on my phone like I don't take them up a list I'm gonna vomit six hour flight I need to kill some time so all these different ways and there's also you know pre-engagement companies involved here as well so if there are targeted efforts to bring these users back into the fold there are there is evidence here that turn you just do come back they don't have to stay churn they don't leave and ride off into the sunset I never come back there's an opportunity to get these users back so this goes back into the performance tracking portion of it so you have all these great campaign ideas to get these users back but in order to really track the performance and the efficacy of these campaigns you have to figure out first when how and why these users uninstall and once you have that data and once you go back to network say hey the users are installed I want to retarget them and get them back into the app you have to then figure out how good these campaigns are by tracking their reinstall rate and this is this is especially important when you're trying to that your different campaigns and try to create quality control all these campaigns to make sure that they're working the way that you intend them to especially if you're sinking money into these campaigns so in order to really tap into these turn users out off as an opportunity to improve the LTV and ROI and to get the type of precision targeting you need uninstall and reinstall tracking is very important and these are the two points of tracking that you mean in order to get really good funnel and train analysis and really inform your decisions on how to approach these turn users and how to figure out the most efficient way to get them back in so when it comes to churn and retention it's really all about influencing and engaging users throughout the app journey and I mentioned before we had an audience builder tool once you power that with your uninstall and reinstall data you get first you get deep inside to win and while you just churn and what makes them come back so using the uninstall and reinstall portion you can figure out first when think these are uninstalled and then that gives you a timestamp of the type of events that they went through - before that uninstall happens so you can then figure out patterns to see if a certain part of your app experience is driving these users away and also once these once you get the reinstalled data you can figure out what type of campaigning and messaging and engagements actually make them come back on top of that so once you have these data and you have all this information and are able to really apply it to your to your marketing messaging you can then increase user LTV and retention rates by reactivating your channel users and really try to optimize both your app experience using uninstall data to make sure that these users don't churn and when they do you understand which campaigns are actually picking them back and that also leads to increase ROI not only by you know improving your your engagement campaigns but you can also go back to the point of initial and optimize to the channels and networks that drive you the most engaged users that don't drop off so you can then use that uninstalled data to find out which networks are giving you the users that don't that don't churn that they that they have the lowest uninstall rate they give you the users that are quality users to stay engaged and the type of the users that actually drive the growth of your app and with our audience builder you can then create highly targeted audiences based on a user's place within the funnel so like I said before the tool itself really just makes it easy to segment these users and create these extremely targeted audiences that you can then send off to the network and partner and then provide hyper targeted messaging that will actually get them back in and then you can then sink all the uninstaller reinstall information to your own CRM system to power up your own engagement strategy so thank you for sitting through all this it's a lot of information but just to kind of close this out so just introduce who we are where we're at about you know 300 plus employees which is pretty good for a mold measurement partner we're at 15 offices we just open one up in tel-aviv they saw our recent acquisition of Auto modify we have about 25,000 plus abstract out there in the ecosystem and 42 percent of Marcus shirt based on adspend measurement so basically we looked at the total number of ad spam that was being out there and seeing how much of that was being run through it just SDK which is how we arrived at that number so we have a pretty good pretty good hold on the market when it comes to actual ad dollars and ad ad campaigns being run through our system as something that we pride ourselves on we track about 400 plus billion data points per month something that it's a huge scale something that you know comes with the territory of tracking every single touch point they have is within the engagement cycle and also you know all the post events as well and right now we're about a billion daily use daily active users being tracked so it's a lot of different people interacting with apps to have our SDK and it's less old so we have that kind of data rushing through our system and giving us the kind of insight to allow us to provide this kind of from nation and come to the conclusions that we have we also had a pretty large scale we've got over 8,000 customers reach over a billion devices to billion in incremental revenue and 25 million campaign sent per month it's a lot of size and scale here and just to close this off here if you guys want to get in touch with us we'd love to hear from you and you can reach us on sales at clever tap comm or directly on our site as I mentioned both of these reports are available online under our resources section and also available to do a quick 30 minute demo with us as well we thought to hear from you